subplots([axis_rows, axis_cols, ncols, ...])
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A thin wrapper around matplotlib.pyplot.subplots() which allows for providing axis names to the rows and columns. |
plot(*args[, ax, axis, where, ...])
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A thin wrapper around matplotlib.axes.Axes.plot() for named arrays. |
fill(*args[, ax, axis, where, ...])
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Plot filled polygons |
scatter(*args[, s, c, ax, where, ...])
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A thin wrapper around matplotlib.axes.Axes.scatter() for named arrays. |
stairs(*args[, ax, axis, where])
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A thin wrapper around matplotlib.axes.Axes.stairs() for named arrays. |
axhline([y, xmin, xmax, ax])
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A wrapper around matplotlib.axes.Axes.axhline(). |
axvline([x, ymin, ymax, ax])
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A wrapper around matplotlib.axes.Axes.axvline(). |
axhspan(ymin, ymax[, xmin, xmax, ax])
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A wrapper around matplotlib.axes.Axes.axhspan(). |
axvspan(xmin, xmax[, ymin, ymax, ax])
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A wrapper around matplotlib.axes.Axes.axvspan(). |
imshow(X, *, axis_x, axis_y[, axis_rgb, ax, ...])
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A thin wrappper around matplotlib.pyplot.imshow() for named arrays. |
pcolormesh(*XY, C[, axis_rgb, ax, ...])
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A thin wrapper around matplotlib.pyplot.pcolormesh() for named arrays. |
rgbmesh(*WXY, C, axis_wavelength[, ax, ...])
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A convenience function that calls pcolormesh() with the outputs from named_arrays.colorsynth.rgb() and returns a colorbar. |
pcolormovie(*TXY, C, axis_time[, axis_rgb, ...])
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Animate a sequence of images using matplotlib.animation.FuncAnimation and repeated calls to pcolormesh(). |
rgbmovie(*TWXY, C, axis_time, axis_wavelength)
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A convenience function that calls pcolormovie() with the outputs from named_arrays.colorsynth.rgb() and returns an animation instance and a colorbar. |
text(x, y, s[, ax])
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A thin wrapper around matplotlib.axes.Axes.text() for named arrays. |
annotate(text, xy[, xytext, components, ax, ...])
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A thin wrapper around matplotlib.axes.Axes.annotate() for named arrays. |
brace_vertical(x, width, ymin, ymax[, ax, ...])
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Plot a vertical curly bracket at the given coordinates. |
set_xlabel(xlabel[, ax])
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A thin wrapper around matplotlib.axes.Axes.set_xlabel() for named arrays. |
get_xlabel([ax])
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A thin wrapper around matplotlib.axes.Axes.get_xlabel() for named arrays. |
set_ylabel(ylabel[, ax])
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A thin wrapper around matplotlib.axes.Axes.set_ylabel() for named arrays. |
get_ylabel([ax])
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A thin wrapper around matplotlib.axes.Axes.get_ylabel() for named arrays. |
set_xlim([left, right, ax])
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A thin wrapper around matplotlib.axes.Axes.set_xlim() for named arrays. |
get_xlim([ax])
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A thin wrapper around matplotlib.axes.Axes.get_xlim() for named arrays. |
set_ylim([bottom, top, ax])
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A thin wrapper around matplotlib.axes.Axes.set_ylim() for named arrays. |
get_ylim([ax])
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A thin wrapper around matplotlib.axes.Axes.get_ylim() for named arrays. |
set_title(label[, ax])
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A thin wrapper around matplotlib.axes.Axes.set_title() for named arrays. |
get_title([ax])
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A thin wrapper around matplotlib.axes.Axes.get_title() for named arrays. |
set_xscale(value[, ax])
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A thin wrapper around matplotlib.axes.Axes.set_xscale() for named arrays. |
get_xscale([ax])
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A thin wrapper around matplotlib.axes.Axes.get_xscale() for named arrays. |
set_yscale(value[, ax])
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A thin wrapper around matplotlib.axes.Axes.set_yscale() for named arrays. |
get_yscale([ax])
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A thin wrapper around matplotlib.axes.Axes.get_yscale() for named arrays. |
set_aspect(aspect[, ax])
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A thin wrapper around matplotlib.axes.Axes.set_aspect() for named arrays. |
get_aspect([ax])
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A thin wrapper around matplotlib.axes.Axes.get_aspect() for named arrays. |
transAxes([ax])
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A thin wrapper around matplotlib.axes.Axes.transAxes for named arrays. |
transData([ax])
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A thin wrapper around matplotlib.axes.Axes.transData for named arrays. |
twinx([ax])
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A thin wrapper around matplotlib.axes.Axes.twinx() for named arrays. |
twiny([ax])
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A thin wrapper around matplotlib.axes.Axes.twiny() for named arrays. |
invert_xaxis([ax])
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A thin wrapper around matplotlib.axes.Axes.invert_xaxis() for named arrays. |
invert_yaxis([ax])
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A thin wrapper around matplotlib.axes.Axes.invert_yaxis() for named arrays. |