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corrected and extended documentation
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@ -128,9 +128,9 @@ As an example, if line 3 of the input is "0 9 1 20"
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How many extra values are given for each data point. Normally this
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is 0, and does not need to be specified, but sometimes we want
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extra data, like for colors or point sizes or error bars, etc.
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Feedgnuplot options that require this (colormap, circles) are
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automatically set. This option is ONLY needed if unknown styles are used,
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with --curvestyleall for instance
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feedGnuplot options that require this (colormap, circles)
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automatically set it. This option is ONLY needed if unknown styles are
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used, with --curvestyleall for instance
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--dump Instead of printing to gnuplot, print to STDOUT. For
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debugging.
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@ -714,29 +714,36 @@ output and streaming display of live data. A simple example:
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$ seq 5 | awk '{print 2*$1, $1*$1}' | feedGnuplot
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You should see a plot with two curves: one on the y1 axis (left) and the other
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on the y2 axis (right). The plots should have a legend and a title. The C<awk>
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command generates some data to plot and the C<feedGnuplot> reads it in from
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STDIN and generates the plot. The <awk> invocation is just an example; more
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interesting things would be plotted in normal usage. None of the
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commandline-options are required for the most basic plotting. Input parsing is
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flexible; every line need not have the same number of points. New curves will be
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created as needed.
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You should see a plot with two curves. The C<awk> command generates some data to
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plot and the C<feedGnuplot> reads it in from STDIN and generates the plot. The
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<awk> invocation is just an example; more interesting things would be plotted in
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normal usage. None of the commandline-options are required for the most basic
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plotting. Input parsing is flexible; every line need not have the same number of
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points. New curves will be created as needed.
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The most commonly used functionality of gnuplot is supported directly by the
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script. Anything not directly supported can still be done with the
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C<--extracmds> and C<--curvestyle> options.
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C<--extracmds> and C<--curvestyle> options. Arbitrary gnuplot commands can be
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passed in with C<--extracmds>. For example, to turn off the grid, pass in
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C<--extracmds 'unset grid'>. As many of these options as needed can be pased
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in. To add arbitrary curve styles, use C<--curvestyle extrastyle>. Pass these
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more than once to affect more than one curve. To apply an extra style to I<all>
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the curves, pass in C<--curvestyleall extrastyle>.
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=head2 Data formats
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By default, each value present in the incoming data represents a distinct data
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point, as demonstrated in the above example (we had 10 numbers in the input and
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10 points in the plot). If requested, the script supports more sophisticated
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interpretation of input data
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=head3 Domain selection
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There are 2 main commandline options to control the interpretation of the input
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data. If C<--domain> is passed in, the first value on each line of input is
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If C<--domain> is passed in, the first value on each line of input is
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interpreted as the I<X>-value for the rest of the data on that line. Without
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C<--domain> the I<X>-value is the line number, and the first value on a line is
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a plain data point like the others. Default is C<--nodomain>. Thus the example
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above produced 2 curves, with B<1,2,3,4,5> as the I<X>-values. If we run the
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above produces 2 curves, with B<1,2,3,4,5> as the I<X>-values. If we run the
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same command with --domain:
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$ seq 5 | awk '{print 2*$1, $1*$1}' | feedGnuplot --domain
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@ -747,7 +754,7 @@ with the I<X>-value at the start of that line.
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=head3 Curve indexing
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By default, each column represents a separate curve. This works unless sparse
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By default, each column represents a separate curve. This is fine unless sparse
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data is to be plotted. With the C<--dataid> option, each point is represented by
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2 values: a string identifying the curve, and the value itself. If we add
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C<--dataid> to the original example:
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@ -755,30 +762,46 @@ C<--dataid> to the original example:
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$ seq 5 | awk '{print 2*$1, $1*$1}' | feedGnuplot --dataid --autolegend
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we get 5 different curves with one point in each. The first column, as produced
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by awk, is B<2,4,6,8,10>. These are interpreted as the IDs of the curves to be
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plotted. The C<--autolegend> option adds a legend using the given IDs to label
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the curves. The IDs need not be numbers; generic strings are accepted. As many
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points as desired can appear on a single line. C<--domain> can be used in
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by C<awk>, is B<2,4,6,8,10>. These are interpreted as the IDs of the curves to
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be plotted. The C<--autolegend> option adds a legend using the given IDs to
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label the curves. The IDs need not be numbers; generic strings are accepted. As
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many points as desired can appear on a single line. C<--domain> can be used in
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conjunction with C<--dataid>.
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=head3 Multi-value style support
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Depending on how gnuplot is plotting the data, more than one value may be needed
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to represent a single point. For example, the script has support to plot all the
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data with C<--circles>. This requires a radius to be specified for each point in
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addition to the position of the point. Thus, when plotting with C<--circles>, 2
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numbers are read for each data point instead of 1. A similar situation exists
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with C<--colormap> where each point contains the position I<and> the
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color. There are other gnuplot styles that require more data (such as error
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bars), but none of these are directly supported by the script. They can still be
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used, though, by specifying the specific style with C<--curvestyle>, and
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specifying how many extra values are needed for each point with
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C<--extraValuesPerPoint extra>. C<--extraValuesPerPoint> is ONLY needed for the
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styles not explicitly supported; supported styles set that variable
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automatically.
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=head3 3D data
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To plot 3D data, pass in C<--3d> (for 3D curves) or C<--colormap> (top-down
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view, color encoding I<Z>). C<--domain> MUST be given when plotting 3D data to
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avoid domain ambiguity. If 3D data is being plotted, there are by definition 2
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domain values instead of one (I<Z> as a function of I<X> and I<Y> instead of
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I<Y> as a function of I<X>). Thus the first 2 values on each line are
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To plot 3D data, pass in C<--3d>. C<--domain> MUST be given when plotting 3D
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data to avoid domain ambiguity. If 3D data is being plotted, there are by
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definition 2 domain values instead of one (I<Z> as a function of I<X> and I<Y>
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instead of I<Y> as a function of I<X>). Thus the first 2 values on each line are
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interpreted as the domain instead of just 1. The rest of the processing happens
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the same way as before.
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=head2 Real-time streaming data
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To plot display realtime data, pass in the C<--stream> option. Data will then be
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To plot real-time data, pass in the C<--stream> option. Data will then be
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plotted as it is received, with the refresh rate limited to 1Hz (currently
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hard-coded). To plot only the most recent data (instead of I<all> the data),
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C<--xlen windowsize> can be given. This will create an constantly-updating,
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scrolling view of the recent past. The windowsize is given in domain units
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(passed-in values if C<--domain> or line numbers otherwise).
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scrolling view of the recent past. C<windowsize> should be replaced by the
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desired length of the domain window to plot, in domain units (passed-in values
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if C<--domain> or line numbers otherwise).
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=head2 Hardcopy output
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