eelbrain.plot.Histogram
- class eelbrain.plot.Histogram(y, x=None, match=None, sub=None, data=None, pooled=True, density=False, test=False, tight=True, title=None, xlabel=True, ylabel=None, bins=None, **kwargs)
Histogram plots with tests of normality
- Parameters
Y (Var) – Dependent variable.
x (categorial) – Categories for separate histograms.
match (None | categorial) – Match cases for a repeated measures design.
sub (index-array) – Use a subset of the data.
ds (Dataset) – If a Dataset is specified, all data-objects can be specified as names of Dataset variables
pooled (bool) – Add one plot with all values/differences pooled.
density (bool) – Norm counts to approximate a probability density (default False).
test (bool) – Test for normality.
tight (bool) – Use matplotlib’s tight_layout to expand all axes to fill the figure (default True)
title (str) – Figure title.
bins (str | int | array) – Histogram bins, specified either as arry of bin edges or as
bins
parameter fornumpy.histogram_bin_edges()
).... – Also accepts General layout parameters.
data (Dataset) –
Methods
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Draw a horizontal line on one or more axes |
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Draw a horizontal bar on one or more axes |
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Draw a vertical line on one or more axes |
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Draw a vertical bar on one or more axes |
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Close the figure. |
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(Re-)draw the figure (after making manual changes). |
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Draw crosshairs under the cursor |
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Draw the outline of the figure |
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Create FMTXT Image from the figure |
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Short-cut for Matplotlib's |
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Set the figure window title |
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Set the label for the x-axis |
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Rotate every x-axis tick-label by an angle (counterclockwise, in degrees) |
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Set the label for the y-axis |