diff --git a/v1.2.0/advanced/index.html b/v1.2.0/advanced/index.html index 8ac1442..0b5505d 100644 --- a/v1.2.0/advanced/index.html +++ b/v1.2.0/advanced/index.html @@ -17,9 +17,9 @@ name = "\$MyDataSet1" a = vars.a, b = vars.b, c = vars.c)
┌ Info: Best fit values:
-│   a = 1.53507096513964
-│   b = 0.333804739506457
-└   c = 0.701159811567446

Multiplot

Gnuplot.jl can draw multiple plots in the same figure by exploiting the multiplot command. Each plot is identified by a positive integer number, which can be used as argument to @gp to redirect commands to the appropriate plot.

Recycling data from the previous example we can plot both data and best fit model (in plot 1) and residuals (in plot 2):

@gp    "f(x) = a * sin(b + c*x)"
+│   a = 1.47753770412003
+│   b = 0.333174808662086
+└   c = 0.69826612931412

Multiplot

Gnuplot.jl can draw multiple plots in the same figure by exploiting the multiplot command. Each plot is identified by a positive integer number, which can be used as argument to @gp to redirect commands to the appropriate plot.

Recycling data from the previous example we can plot both data and best fit model (in plot 1) and residuals (in plot 2):

@gp    "f(x) = a * sin(b + c*x)"
 @gp :- "a=$(vars.a)" "b=$(vars.b)" "c=$(vars.c)"
 @gp :- name=>(x, y, err)
 @gp :- "set multiplot layout 2,1"
@@ -77,7 +77,192 @@ sinc2d(x,y) = sin.(sqrt.(x.^2 + y.^2))./sqrt.(x.^2+y.^2)
 fxy = [sinc2d(x,y) for x in x, y in y]
 @gsp :- 2 x y fxy "w pm3d notit"

Multiple sessions

Gnuplot.jl can handle multiple sessions, i.e. multiple gnuplot processes running simultaneously. Each session is identified by an ID (sid::Symbol, in the documentation).

In order to redirect commands to a specific session simply insert a symbol into your @gp or @gsp call, e.g.:

@gp :GP1 "plot sin(x)"    # opens first window
 @gp :GP2 "plot sin(x)"    # opens secondo window
-@gp :- :GP1 "plot cos(x)" # add a plot on first window

The session ID can appear in every position in the argument list, but only one ID can be present in each call. If the session ID is not specified the :default session is used.

The names of all current sessions can be retrieved with session_names():

julia> println(session_names())
+@gp :- :GP1 "plot cos(x)" # add a plot on first window
+ + +Gnuplot +Produced by GNUPLOT 5.2 patchlevel 8 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + -1 + + + + + -0.8 + + + + + -0.6 + + + + + -0.4 + + + + + -0.2 + + + + + 0 + + + + + 0.2 + + + + + 0.4 + + + + + 0.6 + + + + + 0.8 + + + + + 1 + + + + + -10 + + + + + -5 + + + + + 0 + + + + + 5 + + + + + 10 + + + + + + + + + sin(x) + + + + + sin(x) + + + + + + cos(x) + + + cos(x) + + + + + + + + + + + + + + + + + + +

The session ID can appear in every position in the argument list, but only one ID can be present in each call. If the session ID is not specified the :default session is used.

The names of all current sessions can be retrieved with session_names():

julia> println(session_names())
 [:default, :GP1, :GP2]

To quit a specific session use Gnuplot.quit():

julia> Gnuplot.quit(:GP1)
 0

The output value is the exit status of the underlying gnuplot process.

You may also quit all active sessions at once with Gnuplot.quitall():

julia> Gnuplot.quitall()

Histograms

Gnuplot.jl provides a facility to compute (see hist() function) an histogram. It allows to set the range to consider (range= keyword) and either the bin size (bs=) or the total number of bins (nbins=) in the histogram (see hist() documentation for further information) and return a Gnuplot.Histogram1D structure, whose content can be visualized as follows:

x = randn(1000);
 h = hist(x, range=3 .* [-1,1], bs=0.5)
@@ -101,5 +286,163721 @@ for direction in [-1,1]
         @gsp :- frame x y direction * factor .* fxy "w pm3d notit" :-
     end
 end
-@gsp

Here the frame variable is used as multiplot index. The animation can be saved in a GIF file with:

save(term="gif animate size 480,360 delay 5", output="assets/animation.gif")

Direct command execution

When gnuplot commands are passed to @gp or @gsp they are stored in a session for future use, or to be saved in Gnuplot scripts. If you simply wish to execute a command without storing it in the session, and possibly retrieve a value, use gpexec. E.g., to retrieve the value of a gnuplot variable:

julia> gpexec("print GPVAL_TERM")
-"unknown"

You may also provide a session ID as first argument (see Multiple sessions) to redirect the command to a specific session.

Alternatively you may start the The gnuplot REPL to type commands directly from the Julia prompt.

The gnuplot REPL

The Gnuplot.jl package comes with a built-in REPL mode to directly send commands to the underlying gnuplot process. Since the REPL is a global resource, the gnuplot mode is not enabled by default. You can start it with:

Gnuplot.repl_init(start_key='>')

The customizable start_key character is the key which triggers activation of the REPL mode. To quit the gnuplot REPL mode hit the backspace key.

Dry sessions

A "dry session" is a session with no underlying gnuplot process. To enable dry sessions type:

Gnuplot.options.dry = true;

before starting a session (see also Options). Note that the dry option is a global one, i.e. it affects all sessions started after setting the option.

Clearly, no plot can be generated in dry sessions. Still, they are useful to run Gnuplot.jl code without raising errors (no attempt will be made to communicate with the underlying process). Moreover, Gnuplot scripts can also be generated in a dry session, without the additional overhead of sending data to the gnuplot process.

If a gnuplot process can not be started the package will print a warning, and automatically enable dry sessions.

+@gsp + + +Gnuplot +Produced by GNUPLOT 5.2 patchlevel 8 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + -10 + + + + + + + + + -8 + + + + + + + + + -6 + + + + + + + + + -4 + + + + + + + + + -2 + + + + + + + + + 0 + + + + + + + + + 2 + + + + + + + + + 4 + + + + + + + + + 6 + + + + + + + + + 8 + + + + + + + + + 10 + + + + + + + + + -10 + + + + + + + + + -8 + + + + + + + + + -6 + + + + + + + + + -4 + + + + + + + + + -2 + + + + + + + + + 0 + + + + + + + + + 2 + + + + + + + + + 4 + + + + + + + + + 6 + + + + + + + + + 8 + + + + + + + + + 10 + + + + + + + -1 + + + + + + + -0.5 + + + + + + + 0 + + + + + + + 0.5 + + + + + + + 1 + + + + + gnuplot_plot_1 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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  • one, or a group of consecutive, array(s) of either Real or String build up a dataset. The different arrays are accessible as columns 1, 2, etc. from the gnuplot process. The number of required input arrays depends on the chosen plot style (see gnuplot documentation);

  • a string occurring before a dataset is interpreted as a gnuplot command (e.g. set grid);

  • a string occurring immediately after a dataset is interpreted as a plot element for the dataset, by which you can specify using clause, with clause, line styles, etc.. All keywords may be abbreviated following gnuplot conventions. Moreover, "plot" and "splot" can be abbreviated to "p" and "s" respectively;

  • the special symbol :- allows to split one long statement into multiple (shorter) ones. If given as first argument it avoids starting a new plot. If it given as last argument it avoids immediately running all commands to create the final plot;

  • any other symbol is interpreted as a session ID;

  • an Int (>= 1) is interpreted as the plot destination in a multi-plot session (this specification applies to subsequent arguments, not previous ones);

  • an input in the form "\$name"=>(array1, array2, etc...) is interpreted as a named dataset. Note that the dataset name must always start with a "$";

  • an input in the form keyword=value is interpreted as a keyword/value pair. The accepted keywords and their corresponding gnuplot commands are as follows:

    • xrange=[low, high] => "set xrange [low:high];
    • yrange=[low, high] => "set yrange [low:high];
    • zrange=[low, high] => "set zrange [low:high];
    • cbrange=[low, high]=> "set cbrange[low:high];
    • key="..." => "set key ...";
    • title="..." => "set title "..."";
    • xlabel="..." => "set xlabel "..."";
    • ylabel="..." => "set ylabel "..."";
    • zlabel="..." => "set zlabel "..."";
    • cblabel="..." => "set cblabel "..."";
    • xlog=true => set logscale x;
    • ylog=true => set logscale y;
    • zlog=true => set logscale z.
    • cblog=true => set logscale cb;
    • margins=... => set margins ...;
    • lmargin=... => set lmargin ...;
    • rmargin=... => set rmargin ...;
    • bmargin=... => set bmargin ...;
    • tmargin=... => set tmargin ...;

All Keyword names can be abbreviated as long as the resulting name is unambiguous. E.g. you can use xr=[1,10] in place of xrange=[1,10].

  • a PlotElement object is expanded in its fields and processed as one of the previous arguments;

  • any other data type is processed through an implicit recipe. If a suitable recipe do not exists an error is raised.

source
Gnuplot.@gsp — Macro
@gsp args...

This macro accepts the same syntax as @gp, but produces a 3D plot instead of a 2D one.

source
Gnuplot.contourlines — Function
contourlines(x::Vector{Float64}, y::Vector{Float64}, h::Matrix{Float64}; cntrparam="level auto 10")

Compute paths of contour lines for 2D data, and return a vector of IsoContourLines object.

Arguments:

  • x, y: Coordinates;
  • h: the levels on which iso contour lines are to be calculated
  • cntrparam: settings to compute contour line paths (see gnuplot documentation for cntrparam).

Example

x = randn(5000);
+API · Gnuplot.jl
Edit on GitHub
API
Index
Exported symbols
The list of Gnuplot.jl exported symbols is as follows:
Gnuplot.@gp — Macro
@gp args...
The @gp macro, and its companion @gsp for 3D plots, allows to send data and commands to the gnuplot using an extremely concise syntax.  The macros accepts any number of arguments, with the following meaning:
  • one, or a group of consecutive, array(s) of either Real or String build up a dataset.  The different arrays are accessible as columns 1, 2, etc. from the gnuplot process.  The number of required input arrays depends on the chosen plot style (see gnuplot documentation);
  • a string occurring before a dataset is interpreted as a gnuplot command (e.g. set grid);
  • a string occurring immediately after a dataset is interpreted as a plot element for the dataset, by which you can specify using clause, with clause, line styles, etc..  All keywords may be abbreviated following gnuplot conventions.  Moreover, "plot" and "splot" can be abbreviated to "p" and "s" respectively;
  • the special symbol :- allows to split one long statement into multiple (shorter) ones.  If given as first argument it avoids starting a new plot.  If it given as last argument it avoids immediately running all commands to create the final plot;
  • any other symbol is interpreted as a session ID;
  • an Int (>= 1) is interpreted as the plot destination in a multi-plot session (this specification applies to subsequent arguments, not previous ones);
  • an input in the form "\$name"=>(array1, array2, etc...) is interpreted as a named dataset.  Note that the dataset name must always start with a "$";
  • an input in the form keyword=value is interpreted as a keyword/value pair.  The accepted keywords and their corresponding gnuplot commands are as follows:
    • xrange=[low, high] => "set xrange [low:high];
    • yrange=[low, high] => "set yrange [low:high];
    • zrange=[low, high] => "set zrange [low:high];
    • cbrange=[low, high]=> "set cbrange[low:high];
    • key="..."  => "set key ...";
    • title="..."  => "set title "..."";
    • xlabel="..." => "set xlabel "..."";
    • ylabel="..." => "set ylabel "..."";
    • zlabel="..." => "set zlabel "..."";
    • cblabel="..." => "set cblabel "..."";
    • xlog=true   => set logscale x;
    • ylog=true   => set logscale y;
    • zlog=true   => set logscale z.
    • cblog=true  => set logscale cb;
    • margins=... => set margins ...;
    • lmargin=... => set lmargin ...;
    • rmargin=... => set rmargin ...;
    • bmargin=... => set bmargin ...;
    • tmargin=... => set tmargin ...;
All Keyword names can be abbreviated as long as the resulting name is unambiguous.  E.g. you can use xr=[1,10] in place of xrange=[1,10].
  • a PlotElement object is expanded in its fields and processed as one of the previous arguments;
  • any other data type is processed through an implicit recipe. If a suitable recipe do not exists an error is raised.
source
Gnuplot.@gsp — Macro
@gsp args...
This macro accepts the same syntax as @gp, but produces a 3D plot instead of a 2D one.
source
Gnuplot.contourlines — Function
contourlines(x::Vector{Float64}, y::Vector{Float64}, h::Matrix{Float64}; cntrparam="level auto 10")
Compute paths of contour lines for 2D data, and return a vector of IsoContourLines object.
Arguments:
  • x, y: Coordinates;
  • h: the levels on which iso contour lines are to be calculated
  • cntrparam: settings to compute contour line paths (see gnuplot documentation for cntrparam).
Example
x = randn(5000);
 y = randn(5000);
 h = hist(x, y, nbins1=20, nbins2=20);
 clines = contourlines(h.bins1, h.bins2, h.counts, cntrparam="levels discrete 15, 30, 45");
 @gp "set size ratio -1"
 for i in 1:length(clines)
     @gp :- clines[i].data "w l t '$(clines[i].z)' dt $i"
-end
source
Gnuplot.dataset_names — Function
dataset_names(sid::Symbol)
-dataset_names()
Return a vector with all dataset names for the sid session.  If sid is not provided the default session is considered.
source
Gnuplot.dataset_names — Function
dataset_names(sid::Symbol)
+dataset_names()
Return a vector with all dataset names for the sid session.  If sid is not provided the default session is considered.
source
Gnuplot.gpexec — Function
gpexec(sid::Symbol, command::String)
 gpexec(command::String)
Execute the gnuplot command command on the underlying gnuplot process of the sid session, and return the results as a Vector{String}.  If a gnuplot error arises it is propagated as an ErrorException.
If the sid argument is not provided, the default session is considered.
Examples:
gpexec("print GPVAL_TERM")
-gpexec("plot sin(x)")
source
Gnuplot.gpmargins — Function
gpmargins(sid::Symbol)
-gpmargins()
Return a NamedTuple with keys l, r, b and t containing respectively the left, rigth, bottom and top margins of the current plot (in screen coordinates).
source
Gnuplot.gpranges — Function
gpranges(sid::Symbol)
-gpranges()
Return a NamedTuple with keys x, y, z and cb containing respectively the current plot ranges for the X, Y, Z and color box axis.
source
Gnuplot.gpvars — Function
gpvars(sid::Symbol)
-gpvars()
Return a NamedTuple with all currently defined gnuplot variables.  If the sid argument is not provided, the default session is considered.
source
Gnuplot.hist — Function
hist(v::Vector{T}; range=extrema(v), bs=NaN, nbins=0, pad=true) where T <: Real
Calculates the histogram of the values in v and returns a Histogram1D structure.
Arguments
  • v: a vector of values to compute the histogra;
  • range: values of the left edge of the first bin and of the right edge of the last bin;
  • bs: size of histogram bins;
  • nbins: number of bins in the histogram;
  • pad: if true add one dummy bins with zero counts before the first bin and after the last.
If bs is given nbins is ignored.
Example
v = randn(1000)
+gpexec("plot sin(x)")
source
Gnuplot.gpmargins — Function
gpmargins(sid::Symbol)
+gpmargins()
Return a NamedTuple with keys l, r, b and t containing respectively the left, rigth, bottom and top margins of the current plot (in screen coordinates).
source
Gnuplot.gpranges — Function
gpranges(sid::Symbol)
+gpranges()
Return a NamedTuple with keys x, y, z and cb containing respectively the current plot ranges for the X, Y, Z and color box axis.
source
Gnuplot.gpvars — Function
gpvars(sid::Symbol)
+gpvars()
Return a NamedTuple with all currently defined gnuplot variables.  If the sid argument is not provided, the default session is considered.
source
Gnuplot.hist — Function
hist(v::Vector{T}; range=extrema(v), bs=NaN, nbins=0, pad=true) where T <: Real
Calculates the histogram of the values in v and returns a Histogram1D structure.
Arguments
  • v: a vector of values to compute the histogra;
  • range: values of the left edge of the first bin and of the right edge of the last bin;
  • bs: size of histogram bins;
  • nbins: number of bins in the histogram;
  • pad: if true add one dummy bins with zero counts before the first bin and after the last.
If bs is given nbins is ignored.
Example
v = randn(1000)
 h = hist(v, bs=0.5)
 @gp h  # preview
-@gp h.bins h.counts "w histep notit"
source
hist(v1::Vector{T1 <: Real}, v2::Vector{T2 <: Real}; range1=[NaN,NaN], bs1=NaN, nbins1=0, range2=[NaN,NaN], bs2=NaN, nbins2=0)
Calculates the 2D histogram of the values in v1 and v2 and returns a Histogram2D structure.
Arguments
  • v1: a vector of values along the first dimension;
  • v2: a vector of values along the second dimension;
  • range1: values of the left edge of the first bin and of the right edge of the last bin, along the first dimension;
  • range1: values of the left edge of the first bin and of the right edge of the last bin, along the second dimension;
  • bs1: size of histogram bins along the first dimension;
  • bs2: size of histogram bins along the second dimension;
  • nbins1: number of bins along the first dimension;
  • nbins2: number of bins along the second dimension;
If bs1 (bs2) is given nbins1 (nbins2) is ignored.
Example
v1 = randn(1000)
+@gp h.bins h.counts "w histep notit"
source
hist(v1::Vector{T1 <: Real}, v2::Vector{T2 <: Real}; range1=[NaN,NaN], bs1=NaN, nbins1=0, range2=[NaN,NaN], bs2=NaN, nbins2=0)
Calculates the 2D histogram of the values in v1 and v2 and returns a Histogram2D structure.
Arguments
  • v1: a vector of values along the first dimension;
  • v2: a vector of values along the second dimension;
  • range1: values of the left edge of the first bin and of the right edge of the last bin, along the first dimension;
  • range1: values of the left edge of the first bin and of the right edge of the last bin, along the second dimension;
  • bs1: size of histogram bins along the first dimension;
  • bs2: size of histogram bins along the second dimension;
  • nbins1: number of bins along the first dimension;
  • nbins2: number of bins along the second dimension;
If bs1 (bs2) is given nbins1 (nbins2) is ignored.
Example
v1 = randn(1000)
 v2 = randn(1000)
 h = hist(v1, v2, bs1=0.5, bs2=0.5)
 @gp h  # preview
-@gp "set size ratio -1" "set auto fix" h.bins1 h.bins2 h.counts "w image notit"
source
Gnuplot.linetypes — Function
linetypes(cmap::ColorScheme; lw=1, ps=1, dashed=false, rev=false)
-linetypes(s::Symbol; lw=1, ps=1, dashed=false, rev=false)
Convert a ColorScheme object into a string containing the gnuplot commands to set up linetype colors.
If the argument is a Symbol it is interpreted as the name of one of the predefined schemes in ColorSchemes.
If rev=true the line colors are reversed.  If a numeric or string value is provided through the lw and ps keywords thay are used to set the line width and the point size respectively.  If dashed is true the linetypes with index greater than 1 will be displayed with dashed pattern.
source
Gnuplot.palette — Function
palette(cmap::ColorScheme; rev=false)
-palette(s::Symbol; rev=false)
Convert a ColorScheme object into a string containing the gnuplot commands to set up the corresponding palette.
If the argument is a Symbol it is interpreted as the name of one of the predefined schemes in ColorSchemes. If rev=true the palette is reversed.
source
Gnuplot.recipe — Function
recipe(h::Histogram1D)
-recipe(h::Histogram2D)
Implicit recipes to visualize 1D and 2D histograms.
source
recipe(M::Matrix{ColorTypes.RGB{T}}, opt="flipy")
+@gp "set size ratio -1" "set auto fix" h.bins1 h.bins2 h.counts "w image notit"
source
Gnuplot.linetypes — Function
linetypes(cmap::ColorScheme; lw=1, ps=1, dashed=false, rev=false)
+linetypes(s::Symbol; lw=1, ps=1, dashed=false, rev=false)
Convert a ColorScheme object into a string containing the gnuplot commands to set up linetype colors.
If the argument is a Symbol it is interpreted as the name of one of the predefined schemes in ColorSchemes.
If rev=true the line colors are reversed.  If a numeric or string value is provided through the lw and ps keywords thay are used to set the line width and the point size respectively.  If dashed is true the linetypes with index greater than 1 will be displayed with dashed pattern.
source
Gnuplot.palette — Function
palette(cmap::ColorScheme; rev=false)
+palette(s::Symbol; rev=false)
Convert a ColorScheme object into a string containing the gnuplot commands to set up the corresponding palette.
If the argument is a Symbol it is interpreted as the name of one of the predefined schemes in ColorSchemes. If rev=true the palette is reversed.
source
Gnuplot.recipe — Function
recipe(h::Histogram1D)
+recipe(h::Histogram2D)
Implicit recipes to visualize 1D and 2D histograms.
source
recipe(M::Matrix{ColorTypes.RGB{T}}, opt="flipy")
 recipe(M::Matrix{ColorTypes.RGBA{T}}, opt="flipy")
 recipe(M::Matrix{ColorTypes.Gray{T}}, opt="flipy")
-recipe(M::Matrix{ColorTypes.GrayA{T}}, opt="flipy")
Implicit recipes to show images.
source
Gnuplot.save — Function
save(sid::Symbol; term="", output="")
+recipe(M::Matrix{ColorTypes.GrayA{T}}, opt="flipy")
Implicit recipes to show images.
source
Gnuplot.save — Function
save(sid::Symbol; term="", output="")
 save(sid::Symbol, script_filename::String, ;term="", output="")
 save(; term="", output="")
-save(script_filename::String ;term="", output="")
Export a (multi-)plot into the external file name provided in the output= keyword.  The gnuplot terminal to use is provided through the term= keyword.
If the script_filename argument is provided a gnuplot script will be written in place of the output image.  The latter can then be used in a pure gnuplot session (Julia is no longer needed) to generate exactly the same original plot.
If the sid argument is provided the operation applies to the corresponding session.
source
Gnuplot.stats — Function
stats(sid::Symbol,name::String)
+save(script_filename::String ;term="", output="")
Export a (multi-)plot into the external file name provided in the output= keyword.  The gnuplot terminal to use is provided through the term= keyword.
If the script_filename argument is provided a gnuplot script will be written in place of the output image.  The latter can then be used in a pure gnuplot session (Julia is no longer needed) to generate exactly the same original plot.
If the sid argument is provided the operation applies to the corresponding session.
source
Gnuplot.stats — Function
stats(sid::Symbol,name::String)
 stats(name::String)
 stats(sid::Symbol)
-stats()
Print a statistical summary for the name dataset, belonging to sid session.  If name is not provdied a summary is printed for each dataset in the session.  If sid is not provided the default session is considered.
This function is actually a wrapper for the gnuplot command stats.
source
Gnuplot.terminals — Function
terminals()
Return a Vector{String} with the names of all the available gnuplot terminals.
source
Gnuplot.terminal — Function
terminal(sid::Symbol)
-terminal()
Return a String with the current gnuplot terminal (and its options) of the process associated to session sid, or to the default session (if sid is not provided).
source
Gnuplot.test_terminal — Function
test_terminal(term=nothing; linetypes=nothing, palette=nothing)
Run the test and test palette commands on a gnuplot terminal.
If no term is given it will use the default terminal. If lt and pal are given they are used as input to the linetypes and palette function repsetcively to load the associated color scheme.
Examples
test_terminal()
-test_terminal("wxt", lt=:rust, pal=:viridis)
source
Non-exported symbols
The following functions are not exported by the Gnuplot.jl package since they are typically not used in every day work, or aimed to debugging purposes.  Still, they can be useful in some case, hence they are documented here.
In order to call these functions you should add the Gnuplot. prefix to the function name.
Gnuplot.DatasetText — Type
DatasetText
A dataset whose data are stored as a text buffer.
Transmission to gnuplot may be slow for large datasets, but no temporary file is involved, and the dataset can be saved directly into a gnuplot script.  Also, the constructor allows to build more flexible datasets (i.e. mixing arrays with different dimensions).
Constructors are defined as follows:
DatasetText(data::Vector{String})
-DatasetText(data::Vararg{AbstractArray, N}) where N =
In the second form the type of elements of each array must be one of Real, AbstractString and Missing.
source
Gnuplot.DatasetBin — Type
DatasetBin
A dataset whose data are stored as a binary file.
Ensure best performances for large datasets, but involve use of a temporary files.  When saving a script the file is stored in a directory with the same name as the main script file.
Constructors are defined as follows:
DatasetBin(cols::Vararg{AbstractMatrix, N}) where N
-DatasetBin(cols::Vararg{AbstractVector, N}) where N
In both cases the element of the arrays must be a numeric type.
source
Gnuplot.Histogram1D — Type
Histogram1D
A 1D histogram data.
Fields
  • bins::Vector{Float64}: bin center values;
  • counts::Vector{Float64}: counts in the bins;
  • binsize::Float64: size of each bin;
source
Gnuplot.Histogram2D — Type
Histogram2D
A 2D histogram data.
Fields
  • bins1::Vector{Float64}: bin center values along first dimension;
  • bins2::Vector{Float64}: bin center values along second dimension;
  • counts::Vector{Float64}: counts in the bins;
  • binsize1::Float64: size of each bin along first dimension;
  • binsize2::Float64: size of each bin along second dimension;
source
Gnuplot.IsoContourLines — Type
IsoContourLines
Coordinates of all contour lines of a given level.
Fields
  • paths::Vector{Path2d}: vector of Path2d objects, one for each continuous path;
  • data::Vector{String}: vector with string representation of all paths (ready to be sent to gnuplot);
  • z::Float64: level of the contour lines.
source
Gnuplot.Options — Type
Options
Structure containing the package global options, accessible through Gnuplot.options.
Fields
  • dry::Bool: whether to use dry sessions, i.e. without an underlying Gnuplot process (default: false)
  • cmd::String: command to start the Gnuplot process (default: "gnuplot")
  • default::Symbol: default session name (default: :default)
  • init::Vector{String}: commands to initialize the session when it is created (e.g., to set default terminal);
  • reset::Vector{String}: commands to initialize the session when it is reset (e.g., to set default palette);
  • verbose::Bool: verbosity flag (default: false)
  • preferred_format::Symbol: preferred format to send data to gnuplot.  Value must be one of:
    • bin: fastest solution for large datasets, but uses temporary files;
    • text: may be slow for large datasets, but no temporary file is involved;
    • auto (default) automatically choose the best strategy.
source
Gnuplot.PlotElement — Type
PlotElement
Structure containing element(s) of a plot (commands, data, plot specifications) that can be used directly in @gp and @gsp calls.
Fields
  • mid::Int: multiplot ID (use 0 for single plots);
  • is3d::Bool: true if the data are supposed to be displayed in a 3D plot;
  • cmds::Vector{String}: commands to set plot properties;
  • name::String: name of the dataset (use "" to automatically generate a unique name);
  • data::Dataset: a dataset
  • plot::Vector{String}: plot specifications for the associated Dataset;
The constructor is defined as follows:
PlotElement(;mid::Int=0, is3d::Bool=false,
+stats()
Print a statistical summary for the name dataset, belonging to sid session.  If name is not provdied a summary is printed for each dataset in the session.  If sid is not provided the default session is considered.
This function is actually a wrapper for the gnuplot command stats.
source
Gnuplot.terminals — Function
terminals()
Return a Vector{String} with the names of all the available gnuplot terminals.
source
Gnuplot.terminal — Function
terminal(sid::Symbol)
+terminal()
Return a String with the current gnuplot terminal (and its options) of the process associated to session sid, or to the default session (if sid is not provided).
source
Gnuplot.test_terminal — Function
test_terminal(term=nothing; linetypes=nothing, palette=nothing)
Run the test and test palette commands on a gnuplot terminal.
If no term is given it will use the default terminal. If lt and pal are given they are used as input to the linetypes and palette function repsetcively to load the associated color scheme.
Examples
test_terminal()
+test_terminal("wxt", lt=:rust, pal=:viridis)
source
Non-exported symbols
The following functions are not exported by the Gnuplot.jl package since they are typically not used in every day work, or aimed to debugging purposes.  Still, they can be useful in some case, hence they are documented here.
In order to call these functions you should add the Gnuplot. prefix to the function name.
Gnuplot.DatasetText — Type
DatasetText
A dataset whose data are stored as a text buffer.
Transmission to gnuplot may be slow for large datasets, but no temporary file is involved, and the dataset can be saved directly into a gnuplot script.  Also, the constructor allows to build more flexible datasets (i.e. mixing arrays with different dimensions).
Constructors are defined as follows:
DatasetText(data::Vector{String})
+DatasetText(data::Vararg{AbstractArray, N}) where N =
In the second form the type of elements of each array must be one of Real, AbstractString and Missing.
source
Gnuplot.DatasetBin — Type
DatasetBin
A dataset whose data are stored as a binary file.
Ensure best performances for large datasets, but involve use of a temporary files.  When saving a script the file is stored in a directory with the same name as the main script file.
Constructors are defined as follows:
DatasetBin(cols::Vararg{AbstractMatrix, N}) where N
+DatasetBin(cols::Vararg{AbstractVector, N}) where N
In both cases the element of the arrays must be a numeric type.
source
Gnuplot.Histogram1D — Type
Histogram1D
A 1D histogram data.
Fields
  • bins::Vector{Float64}: bin center values;
  • counts::Vector{Float64}: counts in the bins;
  • binsize::Float64: size of each bin;
source
Gnuplot.Histogram2D — Type
Histogram2D
A 2D histogram data.
Fields
  • bins1::Vector{Float64}: bin center values along first dimension;
  • bins2::Vector{Float64}: bin center values along second dimension;
  • counts::Vector{Float64}: counts in the bins;
  • binsize1::Float64: size of each bin along first dimension;
  • binsize2::Float64: size of each bin along second dimension;
source
Gnuplot.IsoContourLines — Type
IsoContourLines
Coordinates of all contour lines of a given level.
Fields
  • paths::Vector{Path2d}: vector of Path2d objects, one for each continuous path;
  • data::Vector{String}: vector with string representation of all paths (ready to be sent to gnuplot);
  • z::Float64: level of the contour lines.
source
Gnuplot.Options — Type
Options
Structure containing the package global options, accessible through Gnuplot.options.
Fields
  • dry::Bool: whether to use dry sessions, i.e. without an underlying Gnuplot process (default: false)
  • cmd::String: command to start the Gnuplot process (default: "gnuplot")
  • default::Symbol: default session name (default: :default)
  • term::String: default terminal for interactive use (default: empty string, i.e. use gnuplot settings);
  • term_svg::String: terminal to save png files (default "svg");
  • term_png::String: terminal to save png files (default "pngcairo");
  • init::Vector{String}: commands to initialize the session when it is created or reset (e.g., to set default palette);
  • verbose::Bool: verbosity flag (default: false)
  • preferred_format::Symbol: preferred format to send data to gnuplot.  Value must be one of:
    • bin: fastest solution for large datasets, but uses temporary files;
    • text: may be slow for large datasets, but no temporary file is involved;
    • auto (default) automatically choose the best strategy.
source
Gnuplot.PlotElement — Type
PlotElement
Structure containing element(s) of a plot (commands, data, plot specifications) that can be used directly in @gp and @gsp calls.
Fields
  • mid::Int: multiplot ID (use 0 for single plots);
  • is3d::Bool: true if the data are supposed to be displayed in a 3D plot;
  • cmds::Vector{String}: commands to set plot properties;
  • name::String: name of the dataset (use "" to automatically generate a unique name);
  • data::Dataset: a dataset
  • plot::Vector{String}: plot specifications for the associated Dataset;
The constructor is defined as follows:
PlotElement(;mid::Int=0, is3d::Bool=false,
             cmds::Union{String, Vector{String}}=Vector{String}(),
             name::String="",
             data::Dataset=DatasetEmpty(),
             plot::Union{String, Vector{String}}=Vector{String}(),
-            kwargs...)
No field is mandatory, i.e. even Gnuplot.PlotElement() provides a valid structure. The constructor also accept all the keywords accepted by parseKeywords.
source
Gnuplot.gpversion — Function
Gnuplot.gpversion()
Return the gnuplot application version.
Raise an error if version is < 5.0 (required to use data blocks).
source
Gnuplot.quit — Function
Gnuplot.quit(sid::Symbol)
Quit the session identified by sid and the associated gnuplot process (if any).
source
Gnuplot.quitall — Function
Gnuplot.quitall()
Quit all the sessions and the associated gnuplot processes.
source
Gnuplot.repl_init — Function
Gnuplot.init_repl(; start_key='>')
Install a hook to replace the common Julia REPL with a gnuplot one.  The key to start the REPL is the one provided in start_key (default: >).
Note: the gnuplot REPL operates only on the default session.
source

+            kwargs...)

No field is mandatory, i.e. even Gnuplot.PlotElement() provides a valid structure. The constructor also accept all the keywords accepted by parseKeywords.

source
Gnuplot.gpversion — Function
Gnuplot.gpversion()

Return the gnuplot application version.

Raise an error if version is < 5.0 (required to use data blocks).

source
Gnuplot.quit — Function
Gnuplot.quit(sid::Symbol)

Quit the session identified by sid and the associated gnuplot process (if any).

source
Gnuplot.quitall — Function
Gnuplot.quitall()

Quit all the sessions and the associated gnuplot processes.

source
Gnuplot.repl_init — Function
Gnuplot.init_repl(; start_key='>')

Install a hook to replace the common Julia REPL with a gnuplot one. The key to start the REPL is the one provided in start_key (default: >).

Note: the gnuplot REPL operates only on the default session.

source
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Edit on GitHub

Basic usage

The main purpose of the Gnuplot.jl package is to send data and commands to the underlying gnuplot process, in order to generate plots. Unlike other packages, however, the actual commands to plot, or the plot attributes, are not specified through function calls. This is what makes Gnuplot.jl easy to learn and use: there are no functions or keywords names to memorize[1].

The most important symbols exported by the package are the @gp (for 2D plots) and @gsp (for 3D plots) macros. The simplemost example is as follows:

using Gnuplot
-@gp 1:20

Both macros accept any number of arguments, whose meaning is interpreted as follows:

  • one, or a group of consecutive, array(s) build up a dataset. The different arrays are accessible as columns 1, 2, etc. from the gnuplot process. The number of required input arrays depends on the chosen plot style (see gnuplot documentation);

  • a string occurring before a dataset is interpreted as a gnuplot command (e.g. set grid);

  • a string occurring immediately after a dataset is interpreted as a plot element for the dataset, by which you can specify using clause, with clause, line styles, etc.;

  • the special symbol :-, whose meaning is to avoid starting a new plot (if given as first argument), or to avoid immediately running all commands to create the final plot (if given as last argument). Its purpose is to allow splitting one long statement into multiple (shorter) ones.

The above list shows all the fundamental concepts to follow the examples presented below. The @gp and @gsp macros also accepts further arguments, but their use will be discussed in Advanced usage.

2D plots

Here we will show a few examples to generate 2D plots. The examples are intentionally very simple to highlight the behavior of Gnuplot.jl. See Examples for more complex ones.

Remember to run:

using Gnuplot

before running the examples.

Simple examples involving just gnuplot commands:

Plot a sinusoid:

@gp "plot sin(x)"

Plot two curves:

@gp "set key left" "plot sin(x)" "pl cos(x)"

Note

Note that all gnuplot commands can be abbreviated as long as the resulting string is not ambiguous. In the example above we used pl in place of plot.

Split a @gp call in three statements:

@gp    "set grid"  :-
+@gp 1:20

The plots are displayed either in an interactive window (if running in the Julia REPL), as an inline image (if running in Jupyter) or in the plot pane (if running in Juno). See Options and Jupyter and Juno for further informations.

Both the @gp and @gsp macros accept any number of arguments, whose meaning is interpreted as follows:

  • one, or a group of consecutive, array(s) build up a dataset. The different arrays are accessible as columns 1, 2, etc. from the gnuplot process. The number of required input arrays depends on the chosen plot style (see gnuplot documentation);

  • a string occurring before a dataset is interpreted as a gnuplot command (e.g. set grid);

  • a string occurring immediately after a dataset is interpreted as a plot element for the dataset, by which you can specify using clause, with clause, line styles, etc.;

  • the special symbol :-, whose meaning is to avoid starting a new plot (if given as first argument), or to avoid immediately running all commands to create the final plot (if given as last argument). Its purpose is to allow splitting one long statement into multiple (shorter) ones.

The above list shows all the fundamental concepts to follow the examples presented below. The @gp and @gsp macros also accepts further arguments, but their use will be discussed in Advanced usage.

2D plots

Here we will show a few examples to generate 2D plots. The examples are intentionally very simple to highlight the behavior of Gnuplot.jl. See Examples for more complex ones.

Remember to run:

using Gnuplot

before running the examples.

Simple examples involving just gnuplot commands:

Plot a sinusoid:

@gp "plot sin(x)"

Plot two curves:

@gp "set key left" "plot sin(x)" "pl cos(x)"

Note

Note that all gnuplot commands can be abbreviated as long as the resulting string is not ambiguous. In the example above we used pl in place of plot.

Split a @gp call in three statements:

@gp    "set grid"  :-
 @gp :- "p sin(x)"  :-
 @gp :- "plo cos(x)"

Note

The trailing :- symbol means the plot will not be updated until the last statement.

Send data from Julia to gnuplot:

Plot a parabola

@gp (1:20).^2

Plot a parabola with scaled x axis, lines and legend

x = 1:20
 @gp "set key left"   x ./ 20   x.^2   "with lines tit 'Parabola'"

Multiple datasets, logarithmic axis, labels and colors, etc.

x = 1:0.1:10
@@ -10,14 +10,14 @@
 @gp :- x x      "w l tit 'Pow 1'   dt 1 lw 3 lc rgb 'blue'"
 @gp :- x x.^2   "w l tit 'Pow 2'   dt 3 lw 2 lc rgb 'purple'"

Note

The above example lacks the trailing :- symbol. This means the plot will be updated at each command, adding one curve at a time.

Keywords for common commands

In order to avoid typing long, and very frequently used gnuplot commands, Gnuplot.jl provides a few keywords which can be used in both @gp and @sgp calls:

  • xrange=[low, high] => "set xrange [low:high];
  • yrange=[low, high] => "set yrange [low:high];
  • zrange=[low, high] => "set zrange [low:high];
  • cbrange=[low, high]=> "set cbrange[low:high];
  • key="..." => "set key ...";
  • title="..." => "set title \"...\"";
  • xlabel="..." => "set xlabel \"...\"";
  • ylabel="..." => "set ylabel \"...\"";
  • zlabel="..." => "set zlabel \"...\"";
  • cblabel="..." => "set cblabel \"...\"";
  • xlog=true => set logscale x;
  • ylog=true => set logscale y;
  • zlog=true => set logscale z;
  • margins=... => set margins ...;
  • lmargin=... => set lmargin ...;
  • rmargin=... => set rmargin ...;
  • bmargin=... => set bmargin ...;
  • tmargin=... => set tmargin ...;

All such keywords can be abbreviated to unambiguous names.

By using the above keywords the first lines of the previous example:

@gp    "set grid" "set key left" "set logscale y"
 @gp :- "set title 'Plot title'" "set label 'X label'" "set xrange [0:*]"

can be replaced with a shorter version:

@gp    "set grid" k="left" ylog=true
-@gp :- tit="Plot title" xlab="X label" xr=[0,NaN]

where NaN in the xrange keyword means using axis autoscaling.

Plot matrix as images

Gnuplot.jl can display a 2D matrix as an image:

img = randn(Float64, 15, 5)
+@gp :- tit="Plot title" xlab="X label" xr=[0,NaN]

where NaN in the xrange keyword means using axis autoscaling.

Plot matrix as images

Gnuplot.jl can display a 2D matrix as an image:

img = randn(Float64, 10, 5)
 img[10,:] .= -5
-@gp img "w image notit"

Note that the first index in the img matrix corresponds to the rows in the displayed image coordinate when the image is displayed.

A simple way to remember the convention is to compare how matrix are displayed on the REPL:

img = reshape(1:15, 5, 3)
5×3 reshape(::UnitRange{Int64}, 5, 3) with eltype Int64:
+@gp img "w image notit"

Note that the first index in the img matrix corresponds to the rows in the displayed image coordinate when the image is displayed.

A simple way to remember the convention is to compare how a matrix is displayed in the REPL:

img = reshape(1:15, 5, 3)
5×3 reshape(::UnitRange{Int64}, 5, 3) with eltype Int64:
  1   6  11
  2   7  12
  3   8  13
  4   9  14
- 5  10  15

and their image representation, which is essentially upside down:

@gp img "w image notit"

Also note that the img[1,1] pixel is shown at coordinates x=0, y=0. See Image recipes for further info.

3D plots

3D plots follow the same rules as 2D ones, just replace the @gp macro with @gsp and add the required columns (according to the plotting style).

E.g., to plot a spiral increasing in size along the X direction:

x = 0:0.1:10pi
+ 5  10  15

and its image representation, which is essentially upside down:

@gp img "w image notit"

Also note that the img[1,1] pixel is shown at coordinates x=0, y=0. See Image recipes for further info.

3D plots

3D plots follow the same rules as 2D ones, just replace the @gp macro with @gsp and add the required columns (according to the plotting style).

E.g., to plot a spiral increasing in size along the X direction:

x = 0:0.1:10pi
 @gsp cbr=[-1,1].*30  x  sin.(x) .* x  cos.(x) .* x  x./20  "w p pt 7 ps var lc pal"

Note that the fourth array in the dataset, x./20, is used as by gnuplot as point size (ps var). Also note that all the keywords discussed above can also be used in 3D plots.

Palettes and line types

The Gnuplot.jl package comes with all the ColorSchemes palettes readily available.

A gnuplot-compliant palette can be retrieved with palette(), and used as any other command. The previous example may use an alternative palette with:

x = 0:0.1:10pi
 @gsp palette(:viridis) cbr=[-1,1].*30 :-
 @gsp :-  x  sin.(x) .* x  cos.(x) .* x  x./20  "w p pt 7 ps var lc pal"

The list of all available palette can be retrieved with palette_names():

julia> palette_names()
@@ -93,4 +93,4 @@ set autoscale fix
 plot  \
    './script2_data/jl_OQrt9A' binary array=(300, 100) flipy with image notit
 set output

The above scripts can be loaded into a pure gnuplot session (Julia is no longer needed) as follows:

gunplot> load 'script1.gp'
-gunplot> load 'script2.gp'

to generate a plot identical to the original one.

The purpose of gnuplot scripts is to allow sharing all data, alongside a plot, in order to foster collaboration among scientists and replicability of results. Moreover, a script can be used at any time to change the details of a plot, without the need to re-run the Julia code used to generate it the first time.

Finally, the scripts are the only possible output when Dry sessions are used (i.e. when gnuplot is not available in the user platform.

  • 1a previous knowledge of gnuplot usage is, nevertheless, required.
+gunplot> load 'script2.gp'

to generate a plot identical to the original one.

The purpose of gnuplot scripts is to allow sharing all data, alongside a plot, in order to foster collaboration among scientists and replicability of results. Moreover, a script can be used at any time to change the details of a plot, without the need to re-run the Julia code used to generate it the first time.

Finally, the scripts are the only possible output when Dry sessions are used (i.e. when gnuplot is not available in the user platform.

diff --git a/v1.2.0/examples/index.html b/v1.2.0/examples/index.html index dc99b3f..8f1d8d2 100644 --- a/v1.2.0/examples/index.html +++ b/v1.2.0/examples/index.html @@ -1,2 +1,2 @@ -Examples · Gnuplot.jl
Edit on GitHub

Examples

The official gallery of high quality examples is maintained in a separate repository:

https://lazarusa.github.io/gnuplot-examples/

The examples in this documentation are intentionally very simple, in order to focus on the package functionalities. The only relatively complex, publication-quality plot, is discussed in The cairolatex terminal section.

Keep in mind that Gnuplot.jl is just an interface to gnuplot, so everything you can do with the latter is achievable from Julia. Further gnuplot examples can be found here:

+Examples · Gnuplot.jl
Edit on GitHub

Examples

The official gallery of high quality examples is maintained in a separate repository:

https://lazarusa.github.io/gnuplot-examples/

The examples in this documentation are intentionally very simple, in order to focus on the package functionalities. The only relatively complex, publication-quality plot, is discussed in The cairolatex terminal section.

Keep in mind that Gnuplot.jl is just an interface to gnuplot, so everything you can do with the latter is achievable from Julia. Further gnuplot examples can be found here:

diff --git a/v1.2.0/index.html b/v1.2.0/index.html index bd7bbc0..112f2dd 100644 --- a/v1.2.0/index.html +++ b/v1.2.0/index.html @@ -1,2 +1,2 @@ -Home · Gnuplot.jl
Edit on GitHub

Gnuplot.jl

A Julia interface to gnuplot.

The Gnuplot.jl package allows easy and fast use of gnuplot as a data visualization tool in Julia. Have a look at Basic usage and Examples for a quick overview. The package main features are:

  • fast time-to-first-plot;

  • extremely concise yet meaningful syntax, makes it ideal for interactive data exploration;

  • no need to learn new API functions or keywords: only two macros (@gp for 2D plots, @gsp for 3D plots) and a basic knowledge of gnuplot are enough to generate most plots;

  • transparent interface between Julia and gnuplot to exploit all functionalities of the latter, both present and future ones;

  • availability of all the palettes from ColorSchemes;

  • support for multiple plots in one window, multiple plotting windows, as well as ASCII and Sixel plots (to plot directly in a terminal);

  • support for histograms (both 1D and 2D);

  • enhanced support for contour plots;

  • export to a huge number of formats such as pdf, png, gif, $\LaTeX$, svg, etc. (actually all those supported by gnuplot);

  • save sessions into gnuplot scripts, to enable easy plot customization and reproducibility.

If you're unfamiliar with gnuplot have a look at:

Yet another plotting package?

A powerful plotting framework is among the most important tool in the toolbox of any modern scientist and engineer. As such, it is hard to find a single package to fit all needs, and many solutions are indeed available in the Julia ecosystem.

Gnuplot.jl package fills the niche of users who needs:

  1. publication-quality plots, by exploiting the capabilities of a widely used tool such as gnuplot, and its many output formats available;
  2. a well-documented framework, by taking advantage of all the gnuplot documentation, tutorials and examples available on the web;
  3. a fast response, by relying on an external program (rather than on a large Julia code base);
  4. an interactive data exploration framework, by exposing a carefully designed, extremely concise and easy to remember syntax (at least for users with minimal gnuplot knowledge);
  5. a procedure to decouple plot data and aesthetics from the Julia code used to generate them.

Unlike other packages Gnuplot.jl is not a pure Julia solution as it depends on an external package to actually generate plots. However, if gnuplot is not available on a given platform, the package could still be used in "dry" mode, and no error for a missing dependency will be raised (see Dry sessions).

The Gnuplot.jl package development follows a minimalistic approach: it is essentially a thin layer to send data and commands to gnuplot. This way all underlying capabilities, both present and future ones, are automatically exposed to the Julia user, with no need to implement dedicated wrappers.

The functionalities 1, 2 and 3 listed above are similar to those provided by the Gaston package. Gnuplot.jl also provides features 4 and 5, as well as the minimalistic approach.

Do Gnuplot.jl suits my needs?

Any modern plotting package is able to produce a simple scatter plot, with custom symbols, line styles, colors and axis labels. Indeed, this is exactly the example that is reported in every package documentation (also here: see 2D plots). Still, producing complex and publication-quality plots is not an easy task. As a consequence is also not easy to determine whether a package can cope with the most difficult cases (unless you actually try it out) and a reasonable choice is typically to rely on the size of the user base, the availability of documentation / tutorials, and the possibility to preview complex examples.

Gnuplot.jl aims to be ready for even the most challenging plots by relying on the widely used gnuplot application, and by allowing each native feature (both present and future ones) to be immediately available in the Julia language. Moreover, Gnuplot.jl provides a unique syntax specifically aimed to increase productivity while performing interactive data exploration.

Last but not least, have a look at the Gnuplot.jl Examples page.

Notation

In this documentation:

  • "Gnuplot.jl" refers to the Julia package;
  • "gnuplot" refers to the gnuplot application.

Table of Contents

+Home · Gnuplot.jl
Edit on GitHub

Gnuplot.jl

A Julia interface to gnuplot.

Stars

The Gnuplot.jl package allows easy and fast use of gnuplot as a data visualization tool in Julia. Have a look at Basic usage and Examples for a quick overview. The package main features are:

  • fast time-to-first-plot;

  • extremely concise yet meaningful syntax, makes it ideal for interactive data exploration;

  • no need to learn new API functions or keywords: only two macros (@gp for 2D plots, @gsp for 3D plots) and a basic knowledge of gnuplot are enough to generate most plots;

  • transparent interface between Julia and gnuplot to exploit all functionalities of the latter, both present and future ones;

  • availability of all the palettes from ColorSchemes;

  • support for multiple plots in one window, multiple plotting windows, as well as ASCII and Sixel plots (to plot directly in a terminal);

  • support for histograms (both 1D and 2D);

  • enhanced support for contour plots;

  • export to a huge number of formats such as pdf, png, gif, $\LaTeX$, svg, etc. (actually all those supported by gnuplot);

  • compatibility with Jupyter and Juno;

  • save sessions into gnuplot scripts, to enable easy plot customization and reproducibility.

If you're unfamiliar with gnuplot have a look at:

Yet another plotting package?

A powerful plotting framework is among the most important tool in the toolbox of any modern scientist and engineer. As such, it is hard to find a single package to fit all needs, and many solutions are indeed available in the Julia ecosystem.

Gnuplot.jl package fills the niche of users who needs:

  1. publication-quality plots, by exploiting the capabilities of a widely used tool such as gnuplot, and its many output formats available;
  2. a well-documented framework, by taking advantage of all the gnuplot documentation, tutorials and examples available on the web;
  3. a fast response, by relying on an external program (rather than on a large Julia code base);
  4. an interactive data exploration framework, by exposing a carefully designed, extremely concise and easy to remember syntax (at least for users with minimal gnuplot knowledge);
  5. a procedure to decouple plot data and aesthetics from the Julia code used to generate them.

Unlike other packages Gnuplot.jl is not a pure Julia solution as it depends on an external package to actually generate plots. However, if gnuplot is not available on a given platform, the package could still be used in "dry" mode, and no error for a missing dependency will be raised (see Dry sessions).

The Gnuplot.jl package development follows a minimalistic approach: it is essentially a thin layer to send data and commands to gnuplot. This way all underlying capabilities, both present and future ones, are automatically exposed to the Julia user, with no need to implement dedicated wrappers.

The functionalities 1, 2 and 3 listed above are similar to those provided by the Gaston package. Gnuplot.jl also provides features 4 and 5, as well as the minimalistic approach.

Do Gnuplot.jl suits my needs?

Any modern plotting package is able to produce a simple scatter plot, with custom symbols, line styles, colors and axis labels. Indeed, this is exactly the example that is reported in every package documentation (also here: see 2D plots). Still, producing complex and publication-quality plots is not an easy task. As a consequence is also not easy to determine whether a package can cope with the most difficult cases (unless you actually try it out) and a reasonable choice is typically to rely on the size of the user base, the availability of documentation / tutorials, and the possibility to preview complex examples.

Gnuplot.jl aims to be ready for even the most challenging plots by relying on the widely used gnuplot application, and by allowing each native feature (both present and future ones) to be immediately available in the Julia language. Moreover, Gnuplot.jl provides a unique syntax specifically aimed to increase productivity while performing interactive data exploration.

Last but not least, have a look at the Gnuplot.jl Examples page.

Notation

In this documentation:

  • "Gnuplot.jl" refers to the Julia package;
  • "gnuplot" refers to the gnuplot application.

Table of Contents

diff --git a/v1.2.0/install/index.html b/v1.2.0/install/index.html index 26133a9..2ff6bda 100644 --- a/v1.2.0/install/index.html +++ b/v1.2.0/install/index.html @@ -4,4 +4,4 @@ Status `~/.julia/environments/v1.4/Project.toml` [dc211083] Gnuplot v1.2.0

If the displayed version is not v1.2.0 you are probably having a dependency conflict. In this case try forcing installation of the latest version with:

julia> ]add Gnuplot@1.2.0

and check which package is causing the conflict.

Check execution and version of the underlying gnuplot process:

julia> using Gnuplot
 
 julia> Gnuplot.gpversion()
-v"5.2.0"

The minimum required version is v5.0.

Generate the first plot:

julia> @gp 1:9

Test default terminal capabilities:

test_terminal()
+v"5.2.0"

The minimum required version is v5.0.

Generate the first plot:

julia> @gp 1:9

Test default terminal capabilities:

test_terminal()
diff --git a/v1.2.0/options/index.html b/v1.2.0/options/index.html index 75a9c0b..880e0a7 100644 --- a/v1.2.0/options/index.html +++ b/v1.2.0/options/index.html @@ -1,5 +1,5 @@ -Package options · Gnuplot.jl
Edit on GitHub

Package options and initialization

Options

The package options are stored in a global structure available in Julia as Gnuplot.option (the type of the structure is Gnuplot.Options). The most important settings are as follows:

  • dry::Bool: if true all new sessions will be started as Dry sessions. Default is false, but if the package is not able to start a gnuplot process it will automatically switch to true;

  • init::Vector{String}: initialization commands to be executed when a new session is created. Default is an empty vector. It can be used to, e.g., set a custom terminal:

julia> push!(Gnuplot.options.init, "set term sixelgd");

Note that this is option affect all the newly created sessions, not the older ones. Also note that the commands in Gnuplot.options.init are not saved in Gnuplot scripts;

  • reset::Vector{String}: initialization commands to be executed when a session is reset. Default is an empty vector. It can be used to, e.g., set custom linetypes or palette:
julia> push!(Gnuplot.options.reset, linetypes(:Set1_5, lw=1.5, ps=1.5));

Note that this is option affect all the sessions. Also note that the commands in Gnuplot.options.reset are saved in Gnuplot scripts;

  • verbose::Bool: a flag to set verbosity of the package. In particular if it is true all communication with the underlying process will be printed on stdout. E.g.:

+Package options · Gnuplot.jl
Edit on GitHub
Package options and initialization
Options
The package options are stored in a global structure available in Julia as Gnuplot.option (the type of the structure is Gnuplot.Options).  The most important settings are as follows:
  • dry::Bool: if true all new sessions will be started as Dry sessions.  Default is false, but if the package is not able to start a gnuplot process it will automatically switch to true;
  • cmd::String: command to start the gnuplot process, default value is "gnuplot".  Use this field to specify a custom path to the gnuplot executable;
  • term::String: default terminal for interactive use (default is an empty string, i.e. use gnuplot settings).  A custom terminal can be set with, e.g.:
julia> Gnuplot.options.term = "wxt size 700,400";
  • term_svg::String: terminal to save png files (default: "svg background rgb 'white' dynamic");
  • term_png::String: terminal to save png files (default: "pngcairo");
  • init::Vector{String}: commands to initialize the session when it is created or reset.  It can be used to, e.g., set a custom linetypes or palette:
julia> push!(Gnuplot.options.init, linetypes(:Set1_5, lw=1.5, ps=1.5));
Note that this option affect all the sessions, and that all inserted commands are saved in Gnuplot scripts;
  • verbose::Bool: a flag to set verbosity of the package.  If true all communication with the underlying process will be printed on stdout. E.g.:

 
 julia> Gnuplot.options.verbose = true;
 
@@ -9,6 +9,12 @@ julia> @gp x x.^2 "w l t 'Parabola'"
 GNUPLOT (default) unset multiplot
 GNUPLOT (default) set output
 GNUPLOT (default) reset session
+GNUPLOT (default) set term wxt size 700,400
+GNUPLOT (default) print GPVAL_TERM
+GNUPLOT (default) -> wxt
+GNUPLOT (default) print GPVAL_TERMOPTIONS
+GNUPLOT (default) -> 0 size 700, 400 enhanced
+GNUPLOT (default) set term wxt 0 size 700, 400 enhanced title 'Gnuplot.jl: default'
 GNUPLOT (default) $data1 << EOD
 GNUPLOT (default)  1.0 1.0
 GNUPLOT (default)  2.0 4.0
@@ -26,34 +32,35 @@ GNUPLOT (default) reset
 GNUPLOT (default) print GPVAL_TERM
 GNUPLOT (default) -> wxt
 GNUPLOT (default) print GPVAL_TERMOPTIONS
-GNUPLOT (default) -> 0 enhanced
+GNUPLOT (default) -> 0 title "Gnuplot.jl: default" size 700, 400 enhanced
 GNUPLOT (default) set term pngcairo size 480,360 fontscale 0.8
 GNUPLOT (default) set output 'output.png'
 GNUPLOT (default) plot  \
   $data1 w l t 'Parabola'
 GNUPLOT (default) set output
-GNUPLOT (default) set term wxt 0 enhanced
Each line reports the package name (GNUPLOT), the session name (default), the command or string being sent to gnuplot process, and the returned response (line starting with ->).  Default value is false;
  • cmd::String: command to start the gnuplot process, default value is "gnuplot".  If you need to specify a custom path to the gnuplot executable you may change this value;
  • default::Symbol: default session name, i.e. the session that will be used when no session name is provided;
  • preferred_format::Symbol: preferred format to send data to gnuplot.  Value must be one of:
    • bin: provides best performances for large datasets, but uses temporary files;
    • text: may be slow for large datasets, but no temporary file is involved;
    • auto (default) automatically choose the best strategy.
Package initialization
If you use Gnuplot.jl frequently you may find convenient to collect all the package settings (see Options) in a single place, to quickly recall them in a Julia session.  I suggest to put the following code in the .julia/config/startup.jl initialization file (further info here):
macro gnuplotrc()
+GNUPLOT (default) set term wxt 0 title "Gnuplot.jl: default" size 700, 400 enhanced
Each line reports the package name (GNUPLOT), the session name (default), the command or string being sent to gnuplot process, and the returned response (line starting with ->).  Default value is false;
Jupyter and Juno
Gnuplot.jl can display plots in Jupyter and Juno by exporting images in the PNG and SVG formats.  To customize the terminals used to export the images set the term_png or term_svg fields of the Gnuplot.Options structure, e.g.:
julia> Gnuplot.options.term_png = "pngcairo size 700,400 linewidth 2";
+
+julia> Gnuplot.options.term_svg = "svg dynamic";
Package initialization
If you use Gnuplot.jl frequently you may find convenient to collect all the package settings (see Options) in a single place, to quickly recall them in a Julia session.  I suggest to put the following code in the ~/.julia/config/startup.jl initialization file (further info here):
macro gnuplotrc()
     return :(
-        using Gnuplot;
+        using Revise, Gnuplot;
 
         # Uncomment following to true if you don't have the gnuplot
         # executable installed on your platform:
         #Gnuplot.options.dry = true;
 
         # Uncomment the following and set the proper path if the
-        # gnuplot executable is not in your $PATH
+        # gnuplot executable is not available in your $PATH
         #Gnuplot.options.cmd = "/path/to/gnuplot";
 
         # Set the default terminal for interacitve use
-        empty!(Gnuplot.options.init);
-        push!(Gnuplot.options.init, "set term wxt size 700,400");
+        Gnuplot.options.term = "wxt size 700,400";
 
         # Set the default linetypes
-        empty!(Gnuplot.options.reset);
-        push!(Gnuplot.options.reset, linetypes(:Set1_5, lw=1.5, ps=1.5));
+        empty!(Gnuplot.options.init);
+        push!(Gnuplot.options.init, linetypes(:Set1_5, lw=1.5, ps=1.5));
 
         # Initialize the gnuplot REPL using the provided `start_key`.
         # Comment the following to disable the REPL.
         Gnuplot.repl_init(start_key='>');
     )
-end
At the Julia prompt you may load the package and the associated settings by typing:
julia> @gnuplotrc
and you're ready to go.

+end

At the Julia prompt you may load the package and the associated settings by typing:

julia> @gnuplotrc

and you're ready to go.

diff --git a/v1.2.0/recipes/index.html b/v1.2.0/recipes/index.html index 5c7a1f0..8fecc1a 100644 --- a/v1.2.0/recipes/index.html +++ b/v1.2.0/recipes/index.html @@ -23,13 +23,12 @@ end # Load a DataFrame and convert it to a PlotElement iris = dataset("datasets", "iris") -@gp plotdf(iris, :SepalLength, :SepalWidth, group=:Species)
[ Info: Precompiling RDatasets [ce6b1742-4840-55fa-b093-852dadbb1d8b]

Histogram recipes

The object returned by the hist() function can be readily visualized by means of implicit recipes defined on the Gnuplot.Histogram1D and Gnuplot.Histogram2D types:

x = randn(1000);
-@gp hist(x)

x = randn(1000);
-y = randn(1000);
+@gp plotdf(iris, :SepalLength, :SepalWidth, group=:Species)

Histogram recipes

The object returned by the hist() function can be readily visualized by means of implicit recipes defined on the Gnuplot.Histogram1D and Gnuplot.Histogram2D types:

x = randn(1000);
+@gp hist(x)

x = randn(10_000);
+y = randn(10_000);
 @gp hist(x, y)

Image recipes

The Gnuplot.jl package provides implicit recipes to display images in the following formats:

To use these recipes simply pass an image to @gp, e.g.:

using TestImages
 img = testimage("lighthouse");
-@gp img
[ Info: Precompiling TestImages [5e47fb64-e119-507b-a336-dd2b206d9990]
-[ Info: Precompiling ImageMagick [6218d12a-5da1-5696-b52f-db25d2ecc6d1]

All such recipes are defined as:

function recipe(M::Matrix{ColorTypes.RGB{T}}, opt="flipy")
+@gp img

All such recipes are defined as:

function recipe(M::Matrix{ColorTypes.RGB{T}}, opt="flipy")
   ...
 end

with only one mandatory argument. In order to exploit the optional keyword we can explicitly invoke the recipe as follows:

img = testimage("walkbridge");
-@gp palette(:gray) recipe(img, "flipy rot=15deg")

Note that we used both a palette (:gray, see Palettes and line types) and a custom rotation angle.

The flipy option is necessary for proper visualization (see discussion in Plot matrix as images).

+@gp palette(:gray) recipe(img, "flipy rot=15deg")

Note that we used both a palette (:gray, see Palettes and line types) and a custom rotation angle.

The flipy option is necessary for proper visualization (see discussion in Plot matrix as images).

diff --git a/v1.2.0/search/index.html b/v1.2.0/search/index.html index 4a1d1e3..4c1e6e5 100644 --- a/v1.2.0/search/index.html +++ b/v1.2.0/search/index.html @@ -1,2 +1,2 @@ -Search · Gnuplot.jl

Loading search...

    +Search · Gnuplot.jl

    Loading search...

      diff --git a/v1.2.0/search_index.js b/v1.2.0/search_index.js index dab60e6..154b055 100644 --- a/v1.2.0/search_index.js +++ b/v1.2.0/search_index.js @@ -1,3 +1,3 @@ var documenterSearchIndex = {"docs": -[{"location":"style/#Style-Guide-1","page":"Style guide","title":"Style Guide","text":"","category":"section"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"The Gnuplot.jl loose syntax allows to create a plot using very different approaches. While this was one of the initial purposes for the package, it may lead to decreased code readability if not used judiciously.","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"Here I will summarize a few, non-mandatory, guidelines which allows to maintain a neat syntax and a high readability:","category":"page"},{"location":"style/#Use-macros-without-parentheses-and-commas:-1","page":"Style guide","title":"1 - Use macros without parentheses and commas:","text":"","category":"section"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"The two most important symbols exported by the package (@gp and @gsp) are macros. As such they are supposed to be invoked without parentheses and commas. E.g. use:","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"@gp x y \"with lines\"","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"in place of","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"@gp(x, y, \"with lines\")","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"If you have very long lines you may split them in multiple statements using the :- symbol, which resembles both hyphenation in natural language and indentation for the plot-producing code:","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"@gp \"set grid\" :-\n@gp :- x y \"with lines\"","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"Note that the trailing :- symbol is not mandatory. If omitted, the plot will be updated at each statement (rather than at the last one).","category":"page"},{"location":"style/#Use-keywords-in-place-of-gnuplot-commands:-1","page":"Style guide","title":"2 - Use keywords in place of gnuplot commands:","text":"","category":"section"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"As discussed in Keywords for common commands several commonly used gnuplot commands can be replaced with a keyword. E.g. you can use","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"@gp ... xrange=[-1,5] ...","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"in place of","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"@gp ... \"set xrange [-1:5]\" ...","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"This help reducing the number of strings, as well as the associated interpolating characters ($), and results in a more concise syntax.","category":"page"},{"location":"style/#Use-abbreviations-for-commands-and-keywords:-1","page":"Style guide","title":"3 - Use abbreviations for commands and keywords:","text":"","category":"section"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"Many gnuplot commands, as well as all keywords (see Keywords for common commands), can be abbreviated as long as the abbreviation is unambiguous. E.g., the following code:","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"@gp \"set grid\" \"set key left\" \"set logscale y\"\n@gp :- \"set title 'Plot title'\" \"set label 'X label'\" \"set xrange [0:*]\"\n@gp :- x y \"with lines\"","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"can be replaced with a shorter version:","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"@gp \"set grid\" k=\"left\" ylog=true\n@gp :- tit=\"Plot title\" xlab=\"X label\" xr=[0,NaN]\n@gp :- x y \"w l\"","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"Besides being more idiomatic, the possibility to exploit abbreviations is of great importance when performing interactive data exploration.","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"Moreover, in many gnuplot examples and documentation it is very common to use abbreviations (i.e. w l in place of with lines) so there is no reason to avoid them in Gnuplot.jl.","category":"page"},{"location":"style/#If-possible,-follow-the-*commands*-*data*-*plot-specs*-order-1","page":"Style guide","title":"4 - If possible, follow the commands -> data + plot specs order","text":"","category":"section"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"The two following examples produce exactly the same plot:","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"x = -10.:10\n@gp \"set grid\" \"set multiplot layout 2,1\"\n@gp :- 1 x x.^2 \"w l t 'f(x) = x^2\" # first plot\n@gp :- 2 x x.^3 \"w l t 'f(x) = x^3\" # second plot","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"and","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"@gp 2 x x.^3 \"w l t 'f(x) = x^3\" # second plot\n@gp :- 1 x x.^2 \"w l t 'f(x) = x^2\" # first plot\n@gp :- \"set grid\" \"set multiplot layout 2,1\"","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"However, the first form appears more logical and easy to follow.","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"In analogy with previous example, even on single plot, the following form","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"@gp \"set grid\"\n@gp :- x x.^2 \"w l t 'f(x) = x^2\"","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"should be preferred over","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"@gp x x.^2 \"w l t 'f(x) = x^2\"\n@gp :- \"set grid\"","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"even if the output is exactly the same.","category":"page"},{"location":"style/#Join-multiple-command-strings:-1","page":"Style guide","title":"5 - Join multiple command strings:","text":"","category":"section"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"Instead of specifying several commands as strings","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"@gp :- \"set key off\" \"set auto fix\" \"set size square\"\n@gp :- \"set offsets graph .05, graph .05, graph .05, graph .05\"\n@gp :- \"set border lw 1 lc rgb 'white'\"","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"join them in a single string using triple quotes and ;","category":"page"},{"location":"style/#","page":"Style guide","title":"Style guide","text":"@gp :- \"\"\"set key off; set auto fix; set size square;\n set offsets graph .05, graph .05, graph .05, graph .05;\n set border lw 1 lc rgb 'white'; \"\"\"","category":"page"},{"location":"api/#API-1","page":"API","title":"API","text":"","category":"section"},{"location":"api/#Index-1","page":"API","title":"Index","text":"","category":"section"},{"location":"api/#","page":"API","title":"API","text":"","category":"page"},{"location":"api/#Exported-symbols-1","page":"API","title":"Exported symbols","text":"","category":"section"},{"location":"api/#","page":"API","title":"API","text":"The list of Gnuplot.jl exported symbols is as follows:","category":"page"},{"location":"api/#","page":"API","title":"API","text":"@gp\n@gsp\nboxxyerror\ncontourlines\ndataset_names\ngpexec\ngpmargins\ngpranges\ngpvars\nhist\nlinetypes\npalette\npalette_names\nrecipe\nsave\nsession_names\nstats\nterminals\nterminal\ntest_terminal","category":"page"},{"location":"api/#Gnuplot.@gp","page":"API","title":"Gnuplot.@gp","text":"@gp args...\n\nThe @gp macro, and its companion @gsp for 3D plots, allows to send data and commands to the gnuplot using an extremely concise syntax. The macros accepts any number of arguments, with the following meaning:\n\none, or a group of consecutive, array(s) of either Real or String build up a dataset. The different arrays are accessible as columns 1, 2, etc. from the gnuplot process. The number of required input arrays depends on the chosen plot style (see gnuplot documentation);\na string occurring before a dataset is interpreted as a gnuplot command (e.g. set grid);\na string occurring immediately after a dataset is interpreted as a plot element for the dataset, by which you can specify using clause, with clause, line styles, etc.. All keywords may be abbreviated following gnuplot conventions. Moreover, \"plot\" and \"splot\" can be abbreviated to \"p\" and \"s\" respectively;\nthe special symbol :- allows to split one long statement into multiple (shorter) ones. If given as first argument it avoids starting a new plot. If it given as last argument it avoids immediately running all commands to create the final plot;\nany other symbol is interpreted as a session ID;\nan Int (>= 1) is interpreted as the plot destination in a multi-plot session (this specification applies to subsequent arguments, not previous ones);\nan input in the form \"\\$name\"=>(array1, array2, etc...) is interpreted as a named dataset. Note that the dataset name must always start with a \"$\";\nan input in the form keyword=value is interpreted as a keyword/value pair. The accepted keywords and their corresponding gnuplot commands are as follows:\nxrange=[low, high] => \"set xrange [low:high];\nyrange=[low, high] => \"set yrange [low:high];\nzrange=[low, high] => \"set zrange [low:high];\ncbrange=[low, high]=> \"set cbrange[low:high];\nkey=\"...\" => \"set key ...\";\ntitle=\"...\" => \"set title \"...\"\";\nxlabel=\"...\" => \"set xlabel \"...\"\";\nylabel=\"...\" => \"set ylabel \"...\"\";\nzlabel=\"...\" => \"set zlabel \"...\"\";\ncblabel=\"...\" => \"set cblabel \"...\"\";\nxlog=true => set logscale x;\nylog=true => set logscale y;\nzlog=true => set logscale z.\ncblog=true => set logscale cb;\nmargins=... => set margins ...;\nlmargin=... => set lmargin ...;\nrmargin=... => set rmargin ...;\nbmargin=... => set bmargin ...;\ntmargin=... => set tmargin ...;\n\nAll Keyword names can be abbreviated as long as the resulting name is unambiguous. E.g. you can use xr=[1,10] in place of xrange=[1,10].\n\na PlotElement object is expanded in its fields and processed as one of the previous arguments;\nany other data type is processed through an implicit recipe. If a suitable recipe do not exists an error is raised.\n\n\n\n\n\n","category":"macro"},{"location":"api/#Gnuplot.@gsp","page":"API","title":"Gnuplot.@gsp","text":"@gsp args...\n\nThis macro accepts the same syntax as @gp, but produces a 3D plot instead of a 2D one.\n\n\n\n\n\n","category":"macro"},{"location":"api/#Gnuplot.boxxyerror","page":"API","title":"Gnuplot.boxxyerror","text":"boxxyerror(x, y; xmin=NaN, ymin=NaN, xmax=NaN, ymax=NaN, cartesian=false)\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.contourlines","page":"API","title":"Gnuplot.contourlines","text":"contourlines(x::Vector{Float64}, y::Vector{Float64}, h::Matrix{Float64}; cntrparam=\"level auto 10\")\n\nCompute paths of contour lines for 2D data, and return a vector of IsoContourLines object.\n\nArguments:\n\nx, y: Coordinates;\nh: the levels on which iso contour lines are to be calculated\ncntrparam: settings to compute contour line paths (see gnuplot documentation for cntrparam).\n\nExample\n\nx = randn(5000);\ny = randn(5000);\nh = hist(x, y, nbins1=20, nbins2=20);\nclines = contourlines(h.bins1, h.bins2, h.counts, cntrparam=\"levels discrete 15, 30, 45\");\n@gp \"set size ratio -1\"\nfor i in 1:length(clines)\n @gp :- clines[i].data \"w l t '$(clines[i].z)' dt $i\"\nend\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.dataset_names","page":"API","title":"Gnuplot.dataset_names","text":"dataset_names(sid::Symbol)\ndataset_names()\n\nReturn a vector with all dataset names for the sid session. If sid is not provided the default session is considered.\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.gpexec","page":"API","title":"Gnuplot.gpexec","text":"gpexec(sid::Symbol, command::String)\ngpexec(command::String)\n\nExecute the gnuplot command command on the underlying gnuplot process of the sid session, and return the results as a Vector{String}. If a gnuplot error arises it is propagated as an ErrorException.\n\nIf the sid argument is not provided, the default session is considered.\n\nExamples:\n\ngpexec(\"print GPVAL_TERM\")\ngpexec(\"plot sin(x)\")\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.gpmargins","page":"API","title":"Gnuplot.gpmargins","text":"gpmargins(sid::Symbol)\ngpmargins()\n\nReturn a NamedTuple with keys l, r, b and t containing respectively the left, rigth, bottom and top margins of the current plot (in screen coordinates).\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.gpranges","page":"API","title":"Gnuplot.gpranges","text":"gpranges(sid::Symbol)\ngpranges()\n\nReturn a NamedTuple with keys x, y, z and cb containing respectively the current plot ranges for the X, Y, Z and color box axis.\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.gpvars","page":"API","title":"Gnuplot.gpvars","text":"gpvars(sid::Symbol)\ngpvars()\n\nReturn a NamedTuple with all currently defined gnuplot variables. If the sid argument is not provided, the default session is considered.\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.hist","page":"API","title":"Gnuplot.hist","text":"hist(v::Vector{T}; range=extrema(v), bs=NaN, nbins=0, pad=true) where T <: Real\n\nCalculates the histogram of the values in v and returns a Histogram1D structure.\n\nArguments\n\nv: a vector of values to compute the histogra;\nrange: values of the left edge of the first bin and of the right edge of the last bin;\nbs: size of histogram bins;\nnbins: number of bins in the histogram;\npad: if true add one dummy bins with zero counts before the first bin and after the last.\n\nIf bs is given nbins is ignored.\n\nExample\n\nv = randn(1000)\nh = hist(v, bs=0.5)\n@gp h # preview\n@gp h.bins h.counts \"w histep notit\"\n\n\n\n\n\nhist(v1::Vector{T1 <: Real}, v2::Vector{T2 <: Real}; range1=[NaN,NaN], bs1=NaN, nbins1=0, range2=[NaN,NaN], bs2=NaN, nbins2=0)\n\nCalculates the 2D histogram of the values in v1 and v2 and returns a Histogram2D structure.\n\nArguments\n\nv1: a vector of values along the first dimension;\nv2: a vector of values along the second dimension;\nrange1: values of the left edge of the first bin and of the right edge of the last bin, along the first dimension;\nrange1: values of the left edge of the first bin and of the right edge of the last bin, along the second dimension;\nbs1: size of histogram bins along the first dimension;\nbs2: size of histogram bins along the second dimension;\nnbins1: number of bins along the first dimension;\nnbins2: number of bins along the second dimension;\n\nIf bs1 (bs2) is given nbins1 (nbins2) is ignored.\n\nExample\n\nv1 = randn(1000)\nv2 = randn(1000)\nh = hist(v1, v2, bs1=0.5, bs2=0.5)\n@gp h # preview\n@gp \"set size ratio -1\" \"set auto fix\" h.bins1 h.bins2 h.counts \"w image notit\"\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.linetypes","page":"API","title":"Gnuplot.linetypes","text":"linetypes(cmap::ColorScheme; lw=1, ps=1, dashed=false, rev=false)\nlinetypes(s::Symbol; lw=1, ps=1, dashed=false, rev=false)\n\nConvert a ColorScheme object into a string containing the gnuplot commands to set up linetype colors.\n\nIf the argument is a Symbol it is interpreted as the name of one of the predefined schemes in ColorSchemes.\n\nIf rev=true the line colors are reversed. If a numeric or string value is provided through the lw and ps keywords thay are used to set the line width and the point size respectively. If dashed is true the linetypes with index greater than 1 will be displayed with dashed pattern.\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.palette","page":"API","title":"Gnuplot.palette","text":"palette(cmap::ColorScheme; rev=false)\npalette(s::Symbol; rev=false)\n\nConvert a ColorScheme object into a string containing the gnuplot commands to set up the corresponding palette.\n\nIf the argument is a Symbol it is interpreted as the name of one of the predefined schemes in ColorSchemes. If rev=true the palette is reversed.\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.palette_names","page":"API","title":"Gnuplot.palette_names","text":"palette_names()\n\nReturn a vector with all available color schemes for the palette and linetypes function.\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.recipe","page":"API","title":"Gnuplot.recipe","text":"recipe(h::Histogram1D)\nrecipe(h::Histogram2D)\n\nImplicit recipes to visualize 1D and 2D histograms.\n\n\n\n\n\nrecipe(M::Matrix{ColorTypes.RGB{T}}, opt=\"flipy\")\nrecipe(M::Matrix{ColorTypes.RGBA{T}}, opt=\"flipy\")\nrecipe(M::Matrix{ColorTypes.Gray{T}}, opt=\"flipy\")\nrecipe(M::Matrix{ColorTypes.GrayA{T}}, opt=\"flipy\")\n\nImplicit recipes to show images.\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.save","page":"API","title":"Gnuplot.save","text":"save(sid::Symbol; term=\"\", output=\"\")\nsave(sid::Symbol, script_filename::String, ;term=\"\", output=\"\")\nsave(; term=\"\", output=\"\")\nsave(script_filename::String ;term=\"\", output=\"\")\n\nExport a (multi-)plot into the external file name provided in the output= keyword. The gnuplot terminal to use is provided through the term= keyword.\n\nIf the script_filename argument is provided a gnuplot script will be written in place of the output image. The latter can then be used in a pure gnuplot session (Julia is no longer needed) to generate exactly the same original plot.\n\nIf the sid argument is provided the operation applies to the corresponding session.\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.session_names","page":"API","title":"Gnuplot.session_names","text":"session_names()\n\nReturn a vector with all currently active sessions.\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.stats","page":"API","title":"Gnuplot.stats","text":"stats(sid::Symbol,name::String)\nstats(name::String)\nstats(sid::Symbol)\nstats()\n\nPrint a statistical summary for the name dataset, belonging to sid session. If name is not provdied a summary is printed for each dataset in the session. If sid is not provided the default session is considered.\n\nThis function is actually a wrapper for the gnuplot command stats.\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.terminals","page":"API","title":"Gnuplot.terminals","text":"terminals()\n\nReturn a Vector{String} with the names of all the available gnuplot terminals.\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.terminal","page":"API","title":"Gnuplot.terminal","text":"terminal(sid::Symbol)\nterminal()\n\nReturn a String with the current gnuplot terminal (and its options) of the process associated to session sid, or to the default session (if sid is not provided).\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.test_terminal","page":"API","title":"Gnuplot.test_terminal","text":"test_terminal(term=nothing; linetypes=nothing, palette=nothing)\n\nRun the test and test palette commands on a gnuplot terminal.\n\nIf no term is given it will use the default terminal. If lt and pal are given they are used as input to the linetypes and palette function repsetcively to load the associated color scheme.\n\nExamples\n\ntest_terminal()\ntest_terminal(\"wxt\", lt=:rust, pal=:viridis)\n\n\n\n\n\n","category":"function"},{"location":"api/#Non-exported-symbols-1","page":"API","title":"Non-exported symbols","text":"","category":"section"},{"location":"api/#","page":"API","title":"API","text":"The following functions are not exported by the Gnuplot.jl package since they are typically not used in every day work, or aimed to debugging purposes. Still, they can be useful in some case, hence they are documented here.","category":"page"},{"location":"api/#","page":"API","title":"API","text":"In order to call these functions you should add the Gnuplot. prefix to the function name.","category":"page"},{"location":"api/#","page":"API","title":"API","text":"Gnuplot.Dataset\nGnuplot.DatasetEmpty\nGnuplot.DatasetText\nGnuplot.DatasetBin\nGnuplot.Histogram1D\nGnuplot.Histogram2D\nGnuplot.IsoContourLines\nGnuplot.Options\nGnuplot.Path2d\nGnuplot.PlotElement\nGnuplot.gpversion\nGnuplot.quit\nGnuplot.quitall\nGnuplot.repl_init\nGnuplot.version","category":"page"},{"location":"api/#Gnuplot.Dataset","page":"API","title":"Gnuplot.Dataset","text":"Dataset\n\nAbstract type for all dataset structures.\n\n\n\n\n\n","category":"type"},{"location":"api/#Gnuplot.DatasetEmpty","page":"API","title":"Gnuplot.DatasetEmpty","text":"DatasetEmpty\n\nAn empty dataset.\n\n\n\n\n\n","category":"type"},{"location":"api/#Gnuplot.DatasetText","page":"API","title":"Gnuplot.DatasetText","text":"DatasetText\n\nA dataset whose data are stored as a text buffer.\n\nTransmission to gnuplot may be slow for large datasets, but no temporary file is involved, and the dataset can be saved directly into a gnuplot script. Also, the constructor allows to build more flexible datasets (i.e. mixing arrays with different dimensions).\n\nConstructors are defined as follows:\n\nDatasetText(data::Vector{String})\nDatasetText(data::Vararg{AbstractArray, N}) where N =\n\nIn the second form the type of elements of each array must be one of Real, AbstractString and Missing.\n\n\n\n\n\n","category":"type"},{"location":"api/#Gnuplot.DatasetBin","page":"API","title":"Gnuplot.DatasetBin","text":"DatasetBin\n\nA dataset whose data are stored as a binary file.\n\nEnsure best performances for large datasets, but involve use of a temporary files. When saving a script the file is stored in a directory with the same name as the main script file.\n\nConstructors are defined as follows:\n\nDatasetBin(cols::Vararg{AbstractMatrix, N}) where N\nDatasetBin(cols::Vararg{AbstractVector, N}) where N\n\nIn both cases the element of the arrays must be a numeric type.\n\n\n\n\n\n","category":"type"},{"location":"api/#Gnuplot.Histogram1D","page":"API","title":"Gnuplot.Histogram1D","text":"Histogram1D\n\nA 1D histogram data.\n\nFields\n\nbins::Vector{Float64}: bin center values;\ncounts::Vector{Float64}: counts in the bins;\nbinsize::Float64: size of each bin;\n\n\n\n\n\n","category":"type"},{"location":"api/#Gnuplot.Histogram2D","page":"API","title":"Gnuplot.Histogram2D","text":"Histogram2D\n\nA 2D histogram data.\n\nFields\n\nbins1::Vector{Float64}: bin center values along first dimension;\nbins2::Vector{Float64}: bin center values along second dimension;\ncounts::Vector{Float64}: counts in the bins;\nbinsize1::Float64: size of each bin along first dimension;\nbinsize2::Float64: size of each bin along second dimension;\n\n\n\n\n\n","category":"type"},{"location":"api/#Gnuplot.IsoContourLines","page":"API","title":"Gnuplot.IsoContourLines","text":"IsoContourLines\n\nCoordinates of all contour lines of a given level.\n\nFields\n\npaths::Vector{Path2d}: vector of Path2d objects, one for each continuous path;\ndata::Vector{String}: vector with string representation of all paths (ready to be sent to gnuplot);\nz::Float64: level of the contour lines.\n\n\n\n\n\n","category":"type"},{"location":"api/#Gnuplot.Options","page":"API","title":"Gnuplot.Options","text":"Options\n\nStructure containing the package global options, accessible through Gnuplot.options.\n\nFields\n\ndry::Bool: whether to use dry sessions, i.e. without an underlying Gnuplot process (default: false)\ncmd::String: command to start the Gnuplot process (default: \"gnuplot\")\ndefault::Symbol: default session name (default: :default)\ninit::Vector{String}: commands to initialize the session when it is created (e.g., to set default terminal);\nreset::Vector{String}: commands to initialize the session when it is reset (e.g., to set default palette);\nverbose::Bool: verbosity flag (default: false)\npreferred_format::Symbol: preferred format to send data to gnuplot. Value must be one of:\nbin: fastest solution for large datasets, but uses temporary files;\ntext: may be slow for large datasets, but no temporary file is involved;\nauto (default) automatically choose the best strategy.\n\n\n\n\n\n","category":"type"},{"location":"api/#Gnuplot.Path2d","page":"API","title":"Gnuplot.Path2d","text":"Path2d\n\nA path in 2D.\n\nFields\n\nx::Vector{Float64}\ny::Vector{Float64}\n\n\n\n\n\n","category":"type"},{"location":"api/#Gnuplot.PlotElement","page":"API","title":"Gnuplot.PlotElement","text":"PlotElement\n\nStructure containing element(s) of a plot (commands, data, plot specifications) that can be used directly in @gp and @gsp calls.\n\nFields\n\nmid::Int: multiplot ID (use 0 for single plots);\nis3d::Bool: true if the data are supposed to be displayed in a 3D plot;\ncmds::Vector{String}: commands to set plot properties;\nname::String: name of the dataset (use \"\" to automatically generate a unique name);\ndata::Dataset: a dataset\nplot::Vector{String}: plot specifications for the associated Dataset;\n\nThe constructor is defined as follows:\n\nPlotElement(;mid::Int=0, is3d::Bool=false,\n cmds::Union{String, Vector{String}}=Vector{String}(),\n name::String=\"\",\n data::Dataset=DatasetEmpty(),\n plot::Union{String, Vector{String}}=Vector{String}(),\n kwargs...)\n\nNo field is mandatory, i.e. even Gnuplot.PlotElement() provides a valid structure. The constructor also accept all the keywords accepted by parseKeywords.\n\n\n\n\n\n","category":"type"},{"location":"api/#Gnuplot.gpversion","page":"API","title":"Gnuplot.gpversion","text":"Gnuplot.gpversion()\n\nReturn the gnuplot application version.\n\nRaise an error if version is < 5.0 (required to use data blocks).\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.quit","page":"API","title":"Gnuplot.quit","text":"Gnuplot.quit(sid::Symbol)\n\nQuit the session identified by sid and the associated gnuplot process (if any).\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.quitall","page":"API","title":"Gnuplot.quitall","text":"Gnuplot.quitall()\n\nQuit all the sessions and the associated gnuplot processes.\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.repl_init","page":"API","title":"Gnuplot.repl_init","text":"Gnuplot.init_repl(; start_key='>')\n\nInstall a hook to replace the common Julia REPL with a gnuplot one. The key to start the REPL is the one provided in start_key (default: >).\n\nNote: the gnuplot REPL operates only on the default session.\n\n\n\n\n\n","category":"function"},{"location":"api/#Gnuplot.version","page":"API","title":"Gnuplot.version","text":"Gnuplot.version()\n\nReturn the Gnuplot.jl package version.\n\n\n\n\n\n","category":"function"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"using Gnuplot\nGnuplot.quitall()\nmkpath(\"assets\")\nGnuplot.splash(\"assets/logo.png\")\nempty!(Gnuplot.options.init)\npush!( Gnuplot.options.init, \"set term unknown\")\nempty!(Gnuplot.options.reset)\npush!( Gnuplot.options.reset, linetypes(:Set1_5, lw=1.5, ps=1.5))\nsaveas(file) = save(term=\"pngcairo size 550,350 fontscale 0.8\", output=\"assets/$(file).png\")","category":"page"},{"location":"basic/#Basic-usage-1","page":"Basic usage","title":"Basic usage","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"The main purpose of the Gnuplot.jl package is to send data and commands to the underlying gnuplot process, in order to generate plots. Unlike other packages, however, the actual commands to plot, or the plot attributes, are not specified through function calls. This is what makes Gnuplot.jl easy to learn and use: there are no functions or keywords names to memorize[1].","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"The most important symbols exported by the package are the @gp (for 2D plots) and @gsp (for 3D plots) macros. The simplemost example is as follows:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"using Gnuplot\n@gp 1:20\nsaveas(\"basic000\") # hide","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(Image: )","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"Both macros accept any number of arguments, whose meaning is interpreted as follows:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"one, or a group of consecutive, array(s) build up a dataset. The different arrays are accessible as columns 1, 2, etc. from the gnuplot process. The number of required input arrays depends on the chosen plot style (see gnuplot documentation);\na string occurring before a dataset is interpreted as a gnuplot command (e.g. set grid);\na string occurring immediately after a dataset is interpreted as a plot element for the dataset, by which you can specify using clause, with clause, line styles, etc.;\nthe special symbol :-, whose meaning is to avoid starting a new plot (if given as first argument), or to avoid immediately running all commands to create the final plot (if given as last argument). Its purpose is to allow splitting one long statement into multiple (shorter) ones.","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"The above list shows all the fundamental concepts to follow the examples presented below. The @gp and @gsp macros also accepts further arguments, but their use will be discussed in Advanced usage.","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"[1]: a previous knowledge of gnuplot usage is, nevertheless, required.","category":"page"},{"location":"basic/#plots2d-1","page":"Basic usage","title":"2D plots","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"Here we will show a few examples to generate 2D plots. The examples are intentionally very simple to highlight the behavior of Gnuplot.jl. See Examples for more complex ones.","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"Remember to run:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"using Gnuplot","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"before running the examples.","category":"page"},{"location":"basic/#Simple-examples-involving-just-gnuplot-commands:-1","page":"Basic usage","title":"Simple examples involving just gnuplot commands:","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"","category":"page"},{"location":"basic/#Plot-a-sinusoid:-1","page":"Basic usage","title":"Plot a sinusoid:","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"@gp \"plot sin(x)\"\nsaveas(\"basic001\") # hide","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(Image: )","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"","category":"page"},{"location":"basic/#Plot-two-curves:-1","page":"Basic usage","title":"Plot two curves:","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"@gp \"set key left\" \"plot sin(x)\" \"pl cos(x)\"\nsaveas(\"basic002\") # hide","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(Image: )","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"note: Note\nNote that all gnuplot commands can be abbreviated as long as the resulting string is not ambiguous. In the example above we used pl in place of plot.","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"","category":"page"},{"location":"basic/#Split-a-@gp-call-in-three-statements:-1","page":"Basic usage","title":"Split a @gp call in three statements:","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"@gp \"set grid\" :-\n@gp :- \"p sin(x)\" :-\n@gp :- \"plo cos(x)\"\nsaveas(\"basic003\") # hide","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(Image: )","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"note: Note\nThe trailing :- symbol means the plot will not be updated until the last statement.","category":"page"},{"location":"basic/#Send-data-from-Julia-to-gnuplot:-1","page":"Basic usage","title":"Send data from Julia to gnuplot:","text":"","category":"section"},{"location":"basic/#Plot-a-parabola-1","page":"Basic usage","title":"Plot a parabola","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"@gp (1:20).^2\nsaveas(\"basic004\") # hide","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(Image: )","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"","category":"page"},{"location":"basic/#Plot-a-parabola-with-scaled-x-axis,-lines-and-legend-1","page":"Basic usage","title":"Plot a parabola with scaled x axis, lines and legend","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"x = 1:20\n@gp \"set key left\" x ./ 20 x.^2 \"with lines tit 'Parabola'\"\nsaveas(\"basic005\") # hide","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(Image: )","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"","category":"page"},{"location":"basic/#Multiple-datasets,-logarithmic-axis,-labels-and-colors,-etc.-1","page":"Basic usage","title":"Multiple datasets, logarithmic axis, labels and colors, etc.","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"x = 1:0.1:10\n@gp \"set grid\" \"set key left\" \"set logscale y\"\n@gp :- \"set title 'Plot title'\" \"set label 'X label'\" \"set xrange [0:*]\"\n@gp :- x x.^0.5 \"w l tit 'Pow 0.5' dt 2 lw 2 lc rgb 'red'\"\n@gp :- x x \"w l tit 'Pow 1' dt 1 lw 3 lc rgb 'blue'\"\n@gp :- x x.^2 \"w l tit 'Pow 2' dt 3 lw 2 lc rgb 'purple'\"\nsaveas(\"basic006\") # hide","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(Image: )","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"note: Note\nThe above example lacks the trailing :- symbol. This means the plot will be updated at each command, adding one curve at a time.","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"","category":"page"},{"location":"basic/#Keywords-for-common-commands-1","page":"Basic usage","title":"Keywords for common commands","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"In order to avoid typing long, and very frequently used gnuplot commands, Gnuplot.jl provides a few keywords which can be used in both @gp and @sgp calls:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"xrange=[low, high] => \"set xrange [low:high];\nyrange=[low, high] => \"set yrange [low:high];\nzrange=[low, high] => \"set zrange [low:high];\ncbrange=[low, high]=> \"set cbrange[low:high];\nkey=\"...\" => \"set key ...\";\ntitle=\"...\" => \"set title \\\"...\\\"\";\nxlabel=\"...\" => \"set xlabel \\\"...\\\"\";\nylabel=\"...\" => \"set ylabel \\\"...\\\"\";\nzlabel=\"...\" => \"set zlabel \\\"...\\\"\";\ncblabel=\"...\" => \"set cblabel \\\"...\\\"\";\nxlog=true => set logscale x;\nylog=true => set logscale y;\nzlog=true => set logscale z;\nmargins=... => set margins ...;\nlmargin=... => set lmargin ...;\nrmargin=... => set rmargin ...;\nbmargin=... => set bmargin ...;\ntmargin=... => set tmargin ...;","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"All such keywords can be abbreviated to unambiguous names.","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"By using the above keywords the first lines of the previous example:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"@gp \"set grid\" \"set key left\" \"set logscale y\"\n@gp :- \"set title 'Plot title'\" \"set label 'X label'\" \"set xrange [0:*]\"","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"can be replaced with a shorter version:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"@gp \"set grid\" k=\"left\" ylog=true\n@gp :- tit=\"Plot title\" xlab=\"X label\" xr=[0,NaN]","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"where NaN in the xrange keyword means using axis autoscaling.","category":"page"},{"location":"basic/#Plot-matrix-as-images-1","page":"Basic usage","title":"Plot matrix as images","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"Gnuplot.jl can display a 2D matrix as an image:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"img = randn(Float64, 15, 5)\nimg[10,:] .= -5\n@gp img \"w image notit\"\nsaveas(\"basic007a\") # hide","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(Image: )","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"Note that the first index in the img matrix corresponds to the rows in the displayed image coordinate when the image is displayed.","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"A simple way to remember the convention is to compare how matrix are displayed on the REPL:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"img = reshape(1:15, 5, 3)","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"and their image representation, which is essentially upside down:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"@gp img \"w image notit\"\nsaveas(\"basic007b\") # hide","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(Image: )","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"Also note that the img[1,1] pixel is shown at coordinates x=0, y=0. See Image recipes for further info.","category":"page"},{"location":"basic/#plots3d-1","page":"Basic usage","title":"3D plots","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"3D plots follow the same rules as 2D ones, just replace the @gp macro with @gsp and add the required columns (according to the plotting style).","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"E.g., to plot a spiral increasing in size along the X direction:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"x = 0:0.1:10pi\n@gsp cbr=[-1,1].*30 x sin.(x) .* x cos.(x) .* x x./20 \"w p pt 7 ps var lc pal\"\nsaveas(\"basic008\") # hide","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(Image: )","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"Note that the fourth array in the dataset, x./20, is used as by gnuplot as point size (ps var). Also note that all the keywords discussed above can also be used in 3D plots.","category":"page"},{"location":"basic/#Palettes-and-line-types-1","page":"Basic usage","title":"Palettes and line types","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"The Gnuplot.jl package comes with all the ColorSchemes palettes readily available.","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"A gnuplot-compliant palette can be retrieved with palette(), and used as any other command. The previous example may use an alternative palette with:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"x = 0:0.1:10pi\n@gsp palette(:viridis) cbr=[-1,1].*30 :-\n@gsp :- x sin.(x) .* x cos.(x) .* x x./20 \"w p pt 7 ps var lc pal\"\nsaveas(\"basic008a\") # hide","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(Image: )","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"The list of all available palette can be retrieved with palette_names():","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"palette_names()","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"The ColorSchemes palettes can also be used to generate line type colors, and optionally the line width, point size and dashed pattern, by means of the linetypes() function, e.g.","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"@gp key=\"left\" linetypes(:Set1_5, lw=2)\nfor i in 1:10\n @gp :- i .* (0:10) \"w lp t '$i'\"\nend\nsaveas(\"basic009a\") # hide","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(Image: )","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"@gp key=\"left\" linetypes(:Set1_5, dashed=true, ps=2)\nfor i in 1:10\n @gp :- i .* (0:10) \"w lp t '$i'\"\nend\nsaveas(\"basic009b\") # hide","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(Image: )","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"The first plot features the :Set1_5 palette, with solid lines whose width is 2 times the default. The second plot shows the same palette but default line widths are 1, default point size is 2 (for the first N line types, where N is the number of discrete colors in the palette), and the dashed pattern is automatically changed.","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"As discussed in Options, you may set a default line types for all plots with:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"push!(Gnuplot.options.init, linetypes(:Set1_5, lw=1.5, ps=1.5))","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"All plot in this documentation were generated with these settings.","category":"page"},{"location":"basic/#Exporting-plots-to-files-1","page":"Basic usage","title":"Exporting plots to files","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"Gnuplot.jl can export all plots (as well as multiplots, see Multiplot) to an external file using one of the many available gnuplot terminals. To check which terminals are available in your platform type:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"terminals()","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"(see also terminal() to check your current terminal).","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"Once you choose the proper terminal (i.e. format of the exported file), use the save() function to export. As an example, all the plots in this page have been saved with:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"save(term=\"pngcairo size 550,350 fontscale 0.8\", output=\"assets/output.png\")","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"Note that you can pass both the terminal name and its options via the term= keyword. See Gnuplot terminals for further info on the terminals.","category":"page"},{"location":"basic/#Gnuplot-scripts-1","page":"Basic usage","title":"Gnuplot scripts","text":"","category":"section"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"Besides exporting plots in image files, Gnuplot.jl can also save a script, i.e. a file containing the minimum set of data and commands required to re-create a figure using just gnuplot.","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"The script allows a complete decoupling of plot data and aethetics, from the Julia code used to generate them. With scripts you can:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"modify all aesthetic details of a plot without re-running the (possibly complex and time-consuming) code used to generate it;\nshare both data and plots with colleagues without the need to share the Julia code.","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"To generate a script for one of the examples above use:","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"save(\"script.gp\")","category":"page"},{"location":"basic/#","page":"Basic usage","title":"Basic usage","text":"after the plot has been displayed. Note that when images or large datasets are involved, save() may store the data in binary files under a directory named
      Edit on GitHub

      Gnuplot terminals

      Gnuplot provides dozens of terminals to display plots or export them into files (see terminals() to get a list of enabled terminals on your platform). This section discuss a few tips on how to use the most common terminals.

      To use a specific terminal for interactive use you may either add it as initialization command for all new session with (see Options):

      push!(Gnuplot.options.init, "set term wxt")

      or directly send the command to a specific session (see Direct command execution)

      gpexec("set term wxt")

      See official gnuplot documentation for further info on terminals and their options.

      Interactive terminals (wxt and qt)

      The multiplatform wxt and qt terminals are among the most widely used ones for their nicely looking outputs on display and for their interactive capabilities.

      You may set them as terminal with:

      "set term wxt size 800,600"

      or

      "set term qt  size 800,600"

      (the size 800,600 is optional and can be omitted).

      Press the h key on the window to display an help message with all available keyboard shortcuts. In particular press 6 to enable printing plot coordinates on Julia stdout (ensure mouse is enabled with m).

      Plot in a terminal application (dumb, sixel and sixelgd)

      Gnuplot supports plotting in a terminal application, with no need for X11 or other GUI support, via the dumb, sixel and sixelgd terminals. These are extremely useful when you run Julia on a remote shell through ssh, with no X11 forwarding. You may set these terminals with one of the following command:

      "set term dumb"
-"set term sixel"
-"set term sixelgd"

      The dumb terminal uses ASCII characters to draw a plot, while sixel and sixelgd actually use bitmaps (but require Sixel support to be enabled in the terminal, e.g. xterm -ti vt340). A sixel plot on xterm looks as follows:

      The above terminals are available if gnuplot has been compiled with the --with-bitmap-terminals option enabled and Libgd (only for sixelgd).

      Export to image files

      Gnuplot provides dozens of terminals able to export on files. Examples are:

      • cairopng to export PNG files;
      • pdfcairo for PDF;
      • jpeg for JPG;
      • gif for GIF (see Animations).

      All the above terminals support the size and fontscale options to quickly adjust the size of the rasterized image and the size of the font respectively. E.g.:

      save(term="pngcairo size 480,360 fontscale 0.8", output="output.png")

      (see also save()).

      Gnuplot is also able to export vector (i.e. non-raster) plots through the svg terminal.

      The cairolatex terminal

      The cairolatex terminal allows to produce high quality plots by splitting the output into a PDF file (containing a rasterized image of a plot) and a .tex file (containing all the text as $\LaTeX$ code). The following example shows how to write plot tics and an equation in $\LaTeX$:

      x = LinRange(-2pi, 2pi, 1000)
+Gnuplot terminals · Gnuplot.jl
      Edit on GitHub
      Gnuplot terminals
      Gnuplot provides dozens of terminals to display plots or export them into files (see terminals() to get a list of enabled terminals on your platform).  This section discuss a few tips on how to use the most common terminals.
      To use a specific terminal for interactive use you may either set it as initialization command for all new session with (see Options):
      Gnuplot.options.term = "wxt")
      or directly send the command to a specific session (see Direct command execution)
      gpexec("set term wxt")
      See official gnuplot documentation for further info on terminals and their options.
      Interactive terminals (wxt and qt)
      The multiplatform wxt and qt terminals are among the most widely used ones for their nicely looking outputs on display and for their interactive capabilities.
      You may set them as terminal with:
      "set term wxt size 800,600"
      or
      "set term qt  size 800,600"
      (the size 800,600 is optional and can be omitted).
      Press the h key on the window to display an help message with all available keyboard shortcuts.  In particular press 6 to enable printing plot coordinates on Julia stdout (ensure mouse is enabled with m).
      Plot in a terminal application (dumb, sixel and sixelgd)
      Gnuplot supports plotting in a terminal application, with no need for X11 or other GUI support, via the dumb, sixel and sixelgd terminals.  These are extremely useful when you run Julia on a remote shell through ssh, with no X11 forwarding.
      The dumb terminal uses ASCII characters to draw a plot, while sixel and sixelgd actually use bitmaps (but require Sixel support to be enabled in the terminal, e.g. xterm -ti vt340).  A sixel plot on xterm looks as follows: 
      The above terminals are available if gnuplot has been compiled with the --with-bitmap-terminals option enabled and Libgd (only for sixelgd).
      Export to image files
      Gnuplot provides dozens of terminals able to export on files.  Examples are:
      • cairopng to export PNG files;
      • pdfcairo for PDF;
      • jpeg for JPG;
      • gif for GIF (see Animations).
      All the above terminals support the size and fontscale options to quickly adjust the size of the rasterized image and the size of the font respectively.  E.g.:
      save(term="pngcairo size 480,360 fontscale 0.8", output="output.png")
      (see also save()).
      Gnuplot is also able to export vector (i.e. non-raster) plots through the svg terminal.
      The cairolatex terminal
      The cairolatex terminal allows to produce high quality plots by splitting the output into a PDF file (containing a rasterized image of a plot) and a .tex file (containing all the text as $\LaTeX$ code).  The following example shows how to write plot tics and an equation in $\LaTeX$:
      x = LinRange(-2pi, 2pi, 1000)
 @gp t="Polynomial approximation of sin(x)"  "set style fill transparent solid 0.6 noborder"
 @gp :- raw"""set xtics ('$-\pi$' -pi, '$-\pi/2$' -pi/2, 0, '$\pi/2$' pi/2, '$\pi$' pi)"""
 @gp :- xr=3.8.*[-1, 1] yr=[-1.5,1.5] key="box opaque left horiz" linetypes(:Blues_3) "set grid front"
@@ -24,4 +22,4 @@ save(term="cairolatex pdf input color dashed size 5in,3.3in", output=&
 \begin{figure}
   \input{test.tex}
 \end{figure}
-\end{document}
      And the output is: 
      
+\end{document}

      And the output is: