2 summary:: Plot data in a graph
3 categories:: Common methods, GUI
7 The link::Overviews/Methods#plot#plot method:: provides the ability to plot data in a GUI window. The method is implemented in the link::Classes/ArrayedCollection:: class but is also available for other classes for convenience, including link::Classes/Function::, link::Classes/Env::, link::Classes/Buffer::, link::Classes/SoundFile::, link::Classes/Wavetable::.
9 method:: plot (name, bounds, discrete, numChannels, minval, maxval, parent, labels)
10 All arguments are optional
12 The name to be used as the GUI window title.
15 A link::Classes/Rect:: providing coordinates for the GUI location.
18 Plots are line-plots by default. Set this to code::true:: for bar charts.
20 argument:: numChannels
21 The number of interleaved channels that an array represents. For Buffers this argument is not available, since it's filled in automatically.
24 Minimum value(s) for the display range. For a Buffer this defaults to code::-1:: but can be changed.
27 Maximum value(s) for the display range. For a Buffer this defaults to code::+1:: but can be changed.
30 By default the plot is placed in a new GUI window. This argument can be used to specify an existing GUI container to send the plot to.
33 By default labels appear at the top left of the plot giving a data readout based on mouse position. Set this argument to code::false:: to prevent them appearing.
36 If code::minval:: and/or code::maxval:: are set to code::nil:: (this is default, except for link::Classes/Buffer::s), they will be automatically calculated from the dataset minimum and/or maximum. For multi-channel data, code::minval:: and code::maxval:: may be arrays, specifying the range independently for each channel (including use of code::nil::, in which case the min/max will be calculated for the specific channel rather than for the overall dataset).
38 Hitting the strong::L-key:: on the keyboard when the window is focussed toggles the lock, and the window can be used to edit the data.
42 note:: See some of the classes linked above for more examples ::
46 [5, 6, 7, 6.5, 4.5, 3.5].plot("Some data")
47 [5, 6, 7, 6.5, 4.5, 3.5].plot("Some data, in stereo", numChannels:2)
48 [5, 6, 7, 6.5, 4.5, 3.5].plot("Some data, in stereo", numChannels:2, discrete: true)
50 { |i| { |j| j + 1 * i % 6 }.dup(5) }.dup(200).plot("Some 2-d data");
52 // 3-channel interlaced data
53 b = [{1.0.rand}.dup(50), { 20.0.rand - 30 }.dup(50),{ 10.0.rand }.dup(50)].lace(150);
54 b.plot(numChannels:3, minval: nil, maxval: nil); // Common rescaling
55 b.plot(numChannels:3, minval: [nil, nil, nil], maxval: [nil, nil, nil]); // Separate rescaling
58 Env.adsr(0.4, 0.4, 0.8, 0.9).plot
62 b = Buffer.read(s,"sounds/a11wlk01.wav");
64 b.plot(minval: nil, maxval: nil); // auto range
65 b.plot(minval: 0, maxval: nil); // semi-auto range