133 lines
41 KiB
Plaintext
133 lines
41 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Plots.jl] Switched to backend: gadfly\n"
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]
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}
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],
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"source": [
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"using Plots\n",
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"gadfly();"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Plots.jl] Initializing backend: gadfly"
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]
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},
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{
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"data": {
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"image/png": 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",
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"text/plain": [
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"Plot{Plots.GadflyPackage() n=1}"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"WARNING: Base.String is deprecated, use AbstractString instead.\n",
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"WARNING: Base.String is deprecated, use AbstractString instead.\n",
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"WARNING: Base.String is deprecated, use AbstractString instead.\n",
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"WARNING: Base.String is deprecated, use AbstractString instead.\n",
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"WARNING: Base.String is deprecated, use AbstractString instead.\n",
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"WARNING: Base.String is deprecated, use AbstractString instead.\n",
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"WARNING: Base.String is deprecated, use AbstractString instead.\n",
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"WARNING: Base.String is deprecated, use AbstractString instead.\n",
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"WARNING: Base.String is deprecated, use AbstractString instead.\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"in concrete_minimum at /Users/tom/.julia/v0.4/Showoff/src/Showoff.jl:50\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"in concrete_minimum at /Users/tom/.julia/v0.4/Showoff/src/Showoff.jl:50\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"in concrete_maximum at /Users/tom/.julia/v0.4/Showoff/src/Showoff.jl:72\n",
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"WARNING: Base.FloatingPoint is deprecated, use AbstractFloat instead.\n",
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"in concrete_maximum at /Users/tom/.julia/v0.4/Showoff/src/Showoff.jl:72\n"
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]
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}
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],
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"source": [
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"plot(1:1000,1:1000, xscale=:log10, yscale=:log)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"Plots.getLeftAxis(current().o[1])[:set_xscale](\"linear\")\n",
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"current()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Julia 0.4.0-rc2",
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"language": "julia",
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"name": "julia-0.4"
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},
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"language_info": {
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"file_extension": ".jl",
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"mimetype": "application/julia",
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"name": "julia",
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"version": "0.4.0"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
|