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‎README.md

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‎doc/common.md

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<a name="gnuplot.commons.dok"></a>
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## Common Operations ##
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It is possible to manage multiple plots at a time, printing plots to
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png, eps or pdf files or creating plots directly on png or eps or pdf files.
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There are also several handy operations for decorating plots which are
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common to many of the plotting functions.
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<a name="gnuplot.setgnuplotexe"></a>
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### gnuplot.setgnuplotexe(exe) ###
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Manually set the location of gnuplot executable.
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<a name="gnuplot.setterm"></a>
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### gnuplot.setterm(teerm) ###
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Manually set the gnuplot terminal.
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<a name="gnuplot.closeall"></a>
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### gnuplot.closeall() ###
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Close all gnuplot active connections. This will not be able to close
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open windows, since on the backend gnuplot also can not close windows.
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<a name="gnuplot.figure"></a>
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### gnuplot.figure([n]) ###
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Select (or create) a new figure with id `n`. Note that until a plot
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command is given, the window will not be created. When `n` is
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skipped, a new figure is created with the next consecutive id.
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<a name="gnuplot.xlabel"></a>
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### gnuplot.xlabel(label) ###
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Sets the label of `x` axis to `label`. Only supported for gnuplot
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version 4.4 and above.
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<a name="gnuplot.ylabel"></a>
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### gnuplot.ylabel(label) ###
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Sets the label of `y` axis to `label`. Only supported for gnuplot
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version 4.4 and above.
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<a name="gnuplot.zlabel"></a>
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### gnuplot.zlabel(label) ###
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Sets the label of `z` axis to `label`. Only supported for gnuplot
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version 4.4 and above.
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<a name="gnuplot.title"></a>
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### gnuplot.title(title) ###
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Sets the title of the plot to `title`. Only supported for gnuplot
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version 4.4 and above.
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<a name="gnuplot.grid"></a>
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### gnuplot.grid(toggle) ###
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If `toggle` is `true` then a grid is displayed, else it is
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hidden. Only supported for gnuplot version 4.4 and above.
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<a name="gnuplot.movelegend"></a>
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### gnuplot.movelegend(hloc,vloc) ###
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Set the location of legend key. `hloc` can be `left`, `right` or
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`center`. `vloc` can be `top`, `bottom` or `middle`. Only
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supported for gnuplot version 4.4 and above.
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<a name="gnuplot.axis"></a>
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### gnuplot.axis(axis) ###
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Sets the properties of axis for the current plot.
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* `auto` : auto scales the axis to fit data and plot canvas
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* `image` : scales the axis aspect ratio so that a circle is drawn as circle.
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* `equal` : same as `image`.
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* `fill` : resets the aspect ratio of the plot to original values so that it fills up the canvas as good as possible.
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* `{xmin,xmax,ymin,ymax}` : Sets the limits of x and y axes. Use an empty string (2 apostophes in a row) if you want to keep the current value.
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<a name="gnuplot.raw"></a>
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### gnuplot.raw(command) ###
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This command is useful for advanced users of gnuplot. `command` is
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directly passed to gnuplot without any formatting.
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Let's see an example, by plotting labels for the `xtic`
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```lua
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LondonTemp = torch.Tensor{{9, 10, 12, 15, 18, 21, 23, 23, 20, 16, 12, 9},
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{5, 5, 6, 7, 10, 13, 15, 15, 13, 10, 7, 5}}
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gnuplot.plot({'High [°C]',LondonTemp[1]},{'Low [°C]',LondonTemp[2]})
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gnuplot.raw('set xtics ("Jan" 1, "Feb" 2, "Mar" 3, "Apr" 4, "May" 5, "Jun" 6, "Jul" 7, "Aug" 8, "Sep" 9, "Oct" 10, "Nov" 11, "Dec" 12)')
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gnuplot.plotflush()
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gnuplot.axis{0,13,0,''}
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gnuplot.grid(true)
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gnuplot.title('London average temperature')
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```
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![](plot_raw.png)

‎doc/custom.md

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<a name="gnuplot.custom.dok"></a>
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## Customizing Gnuplot Defaults ##
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The default styles of gnuplot can be customized using a personal `.gnuplot` file
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located in the users home directory. A sample file is given below as a sample. You can
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paste the contents into `$HOME/.gnuplot` file and gnuplot will use the styles
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specified in this file.
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```
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##### Modified version of the sample given in
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##### http://www.guidolin.net/blog/files/2010/03/gnuplot
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set macro
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##### Color Palette by Color Scheme Designer
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##### Palette URL: http://colorschemedesigner.com/#3K40zsOsOK-K-
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blue_000 = "#A9BDE6" # = rgb(169,189,230)
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blue_025 = "#7297E6" # = rgb(114,151,230)
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blue_050 = "#1D4599" # = rgb(29,69,153)
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blue_075 = "#2F3F60" # = rgb(47,63,96)
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blue_100 = "#031A49" # = rgb(3,26,73)
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green_000 = "#A6EBB5" # = rgb(166,235,181)
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green_025 = "#67EB84" # = rgb(103,235,132)
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green_050 = "#11AD34" # = rgb(17,173,52)
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green_075 = "#2F6C3D" # = rgb(47,108,61)
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green_100 = "#025214" # = rgb(2,82,20)
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red_000 = "#F9B7B0" # = rgb(249,183,176)
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red_025 = "#F97A6D" # = rgb(249,122,109)
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red_050 = "#E62B17" # = rgb(230,43,23)
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red_075 = "#8F463F" # = rgb(143,70,63)
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red_100 = "#6D0D03" # = rgb(109,13,3)
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brown_000 = "#F9E0B0" # = rgb(249,224,176)
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brown_025 = "#F9C96D" # = rgb(249,201,109)
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brown_050 = "#E69F17" # = rgb(230,159,23)
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brown_075 = "#8F743F" # = rgb(143,116,63)
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brown_100 = "#6D4903" # = rgb(109,73,3)
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grid_color = "#d5e0c9"
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text_color = "#222222"
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my_font = "SVBasic Manual, 12"
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my_export_sz = "1024,768"
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my_line_width = "2"
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my_axis_width = "1"
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my_ps = "1.5"
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my_font_size = "14"
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# must convert font fo svg and ps
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# set term svg size @my_export_sz fname my_font fsize my_font_size enhanced dynamic rounded
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# set term png size @my_export_sz large font my_font
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# set term jpeg size @my_export_sz large font my_font
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# set term wxt enhanced font my_font
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set style data linespoints
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set style function lines
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set pointsize my_ps
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set style line 1 linecolor rgbcolor blue_050 linewidth @my_line_width pt 7
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set style line 2 linecolor rgbcolor green_050 linewidth @my_line_width pt 5
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set style line 3 linecolor rgbcolor red_050 linewidth @my_line_width pt 9
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set style line 4 linecolor rgbcolor brown_050 linewidth @my_line_width pt 13
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set style line 5 linecolor rgbcolor blue_025 linewidth @my_line_width pt 11
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set style line 6 linecolor rgbcolor green_025 linewidth @my_line_width pt 7
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set style line 7 linecolor rgbcolor red_025 linewidth @my_line_width pt 5
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set style line 8 linecolor rgbcolor brown_025 linewidth @my_line_width pt 9
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set style line 9 linecolor rgbcolor blue_075 linewidth @my_line_width pt 13
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set style line 10 linecolor rgbcolor green_075 linewidth @my_line_width pt 11
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set style line 11 linecolor rgbcolor red_075 linewidth @my_line_width pt 7
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set style line 12 linecolor rgbcolor brown_075 linewidth @my_line_width pt 5
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set style line 13 linecolor rgbcolor blue_100 linewidth @my_line_width pt 9
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set style line 14 linecolor rgbcolor green_100 linewidth @my_line_width pt 13
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set style line 15 linecolor rgbcolor red_100 linewidth @my_line_width pt 11
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set style line 16 linecolor rgbcolor brown_100 linewidth @my_line_width pt 7
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set style line 17 linecolor rgbcolor "#224499" linewidth @my_line_width pt 5
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## plot 1,2,3,4,5,6,7,8,9
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set style increment user
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set style arrow 1 filled
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## used for bar chart borders
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set style fill solid 0.5
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set size noratio
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set samples 300
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set border 31 lw @my_axis_width lc rgb text_color
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```

‎doc/file.md

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<a name="gnuplot.files.dok"></a>
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## Saving Plots to Files ##
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Any of the above plotting utilities can also be used for directly plotting
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into `eps` or `png` files, or `pdf` files if your gnuplot installation
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allows. A final gnuplot.plotflush() command ensures that all output is
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written to the file properly.
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```lua
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gnuplot.epsfigure('test.eps')
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gnuplot.plot({'Sin Curve',torch.sin(torch.linspace(-5,5))})
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gnuplot.xlabel('X')
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gnuplot.ylabel('Y')
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gnuplot.plotflush()
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```
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<a name="gnuplot.epsfigure"></a>
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### gnuplot.epsfigure(fname) ###
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Creates a figure directly on the `eps` file given with
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`fname`. This uses `Gnuplot` terminal `postscript eps enhanced color`.
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<a name="gnuplot.pdffigure"></a>
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### gnuplot.pdffigure(fname) ###
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Only available if your installation of gnuplot has been compiled
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with `pdf` support enabled.
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Creates a figure directly on the `pdf` file given with
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`fname`. This uses `Gnuplot` terminal `pdf enhanced color`,
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or `pdfcairo enhanced color` if available.
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<a name="gnuplot.pngfigure"></a>
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### gnuplot.pngfigure(fname) ###
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Creates a figure directly on the `png` file given with
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`fname`. This uses `Gnuplot` terminal `png`, or `pngcairo` if available.
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<a name="gnuplot.svgfigure"></a>
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### gnuplot.svgfigure(fname) ###
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Creates a figure directly on the `svg` file given with `fname`. This uses
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`Gnuplot` terminal `svg`.
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<a name="gnuplot.figprint"></a>
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### gnuplot.figprint(fname) ###
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Prints the current figure to the given file with name `fname`. Only `png`
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or `eps` files are supported by default. If your gnuplot installation
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allows, `pdf` files are also supported.
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<a name="gnuplot.plotflush"></a>
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### gnuplot.plotflush([n]) ###
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This command sends `unset output` to underlying gnuplot. Usefull for
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flushing file based terminals.

‎doc/index.md

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<a name="gnuplot.dok"></a>
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# Plotting Package Manual with Gnuplot #
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A plotting package to visualize [Tensor](https://github.com/torch/torch7/blob/master/doc/tensor.md#tensor) objects.
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Functions fall into several types of categories:
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* [Plotting lines](plotline.md#gnuplot.line.dok)
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* [Plotting matrices](plotmatrix.md#gnuplot.image.dok)
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* [Plotting surfaces](plotsurface.md#gnuplot.surface.dok)
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* [Plotting histograms](plothistogram.md#gnuplot.histogram.dok)
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* [Saving to Files](file.md#gnuplot.files.dok)
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* [Common operations](decorateplot.md#gnuplot.commons.dok)
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The plotting package currently uses [gnuplot](http://gnuplot.info) as
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a backend to display data. In particular, `Gnuplot` version `4.4`
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or above is suggested for full support of all functionality.
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By default, the plot package will search for terminal in following order:
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* ` windows ` terminal if operating system is windows
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* ` wxt `, ` qt `, ` x11 ` terminal if operating system is linux
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* ` aqua `, `wxt`, ` qt `, ` x11 ` terminal if operating system is mac
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It is also possible to manually set any terminal type using
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[gnuplot.setterm](#gnuplot.setterm). Interactivity is
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dependent on the terminal being used. By default, `x11` and ''wxt
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support'' different interactive operations like, zooming, panning,
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rotating...
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The `Gnuplot` port uses `pipes` to communicate with `gnuplot`,
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therefore each plotting session is persistent and additional commands
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can be sent. For advanced users [gnuplot.raw](common.md#gnuplot.raw)
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provides a free form interface to gnuplot.

‎doc/plothistogram.md

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<a name="gnuplot.histogram.dok"></a>
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## Histograms ##
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Given a tensor, the distribution of values can be plotted using
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`gnuplot.hist` function.
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<a name="gnuplot.hist"></a>
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### gnuplot.hist(x, [nbins, min, max]) ###
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Plot the histogram of values in `N-D` tensor `x`, optionally using `nbins`
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number of bins and only using values between `min` and `max`.
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```lua
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gnuplot.hist(torch.randn(100000),100)
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```
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![](plot_hist.png)

‎doc/plotline.md

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<a name="gnuplot.line.dok"></a>
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## Plotting Lines ##
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Line plotting functionality covers many configurations from simplest
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case of plotting a single vector to displaying multiple lines at once
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with custom line specifictions.
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<a name="gnuplot.plot"></a>
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### gnuplot.plot(x) ###
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Plot vector ` x ` using dots of first default `Gnuplot` type.
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```lua
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x=torch.linspace(-2*math.pi,2*math.pi)
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gnuplot.plot(torch.sin(x))
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```
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![](plot_x.png)
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In more general form, plot vector `y` vs `x` using the format
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specified. The possible entries of format string can be:
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* `.` for dots
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* `+` for points
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* `-` for lines
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* `+-` for points and lines
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* `~` for using smoothed lines with cubic interpolation
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* `|` for using boxes
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* `v` for drawing vector fiels. (In this case, `x` and `y` have to be two column vectors `(x, xdelta)`, `(y, ydelta)`)
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* custom string, one can also pass custom strings to use full capability of gnuplot.
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```lua
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x = torch.linspace(-2*math.pi,2*math.pi)
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gnuplot.plot('Sin',x/math.pi,torch.sin(x),'|')
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```
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![](plot_xyf.png)
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To plot multiple curves at a time, one can pass each plot struct in a table.
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```lua
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x = torch.linspace(-2*math.pi,2*math.pi)
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gnuplot.plot({'Cos',x/math.pi,torch.cos(x),'~'},{'Sin',x/math.pi,torch.sin(x),'|'})
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```
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![](plot_sincos.png)
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One can pass data with multiple columns and use custom gnuplot style strings too. When multi-column data
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is used, the first column is assumed to be the `x` values and the rest of the columns are separate `y` series.
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```lua
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x = torch.linspace(-5,5)
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y = torch.sin(x)
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yp = y+0.3+torch.rand(x:size())*0.1
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ym = y-(torch.rand(x:size())*0.1+0.3)
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yy = torch.cat(x,ym,2)
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yy = torch.cat(yy,yp,2)
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gnuplot.plot({yy,' filledcurves'},{x,yp,'lines ls 1'},{x,ym,'lines ls 1'},{x,y,'lines ls 1'})
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```
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![](plot_filled.png)

‎doc/plotmatrix.md

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<a name="gnuplot.image.dok"></a>
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## Plotting Matrices ##
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A given matrix can be plotted using 2D contour plot on a surface.
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<a name="gnuplot.imagesc"></a>
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### gnuplot.imagesc(z, ['color' or 'gray']) ###
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Plot surface ` z ` using contour plot. The second argument defines
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the color palette for the display. By default, grayscale colors are
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used, however, one can also use any color palette available in
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`Gnuplot`.
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```lua
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x = torch.linspace(-1,1)
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xx = torch.Tensor(x:size(1),x:size(1)):zero():addr(1,x,x)
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xx = xx*math.pi*6
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gnuplot.imagesc(torch.sin(xx),'color')
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```
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![](plot_imagesc.png)

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