eelbrain.plot.Histogram¶
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class
eelbrain.plot.Histogram(y, x=None, match=None, sub=None, ds=None, pooled=True, density=False, test=False, tight=True, title=None, xlabel=True, *args, **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 : None | index-array
Use a subset of the data.
- ds : None | 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)
- …
Also accepts General layout parameters.
Methods¶
add_hline(self, y[, axes]) |
Draw a horizontal line on one or more axes |
add_hspan(self, bottom, top[, axes]) |
Draw a horizontal bar on one or more axes |
add_vline(self, x[, axes]) |
Draw a vertical line on one or more axes |
add_vspan(self, xmin, xmax[, axes]) |
Draw a vertical bar on one or more axes |
close(self) |
Close the figure. |
draw(self) |
(Re-)draw the figure (after making manual changes). |
draw_crosshairs(self[, enable]) |
Draw crosshairs under the cursor |
image(self[, name, format]) |
Create FMTXT Image from the figure |
save(self, *args, **kwargs) |
Short-cut for Matplotlib’s savefig() |
set_name(self, name) |
Set the figure window title |
set_xlabel(self, label[, ax]) |
Set the label for the x-axis |
set_xtick_rotation(self, rotation) |
Rotate every x-axis tick-label by an angle (counterclockwise, in degrees) |
set_ylabel(self, label[, ax]) |
Set the label for the y-axis |
