eelbrain.plot.Boxplot
- class eelbrain.plot.Boxplot(y, x=None, match=None, sub=None, cells=None, test=True, tail=0, par=True, corr='Hochberg', trend=False, test_markers=True, bottom=None, top=None, xlabel=True, ylabel=True, labels=None, xticks=True, xtick_delim='\n', xtick_rotation=None, colors=False, data=None, label_fliers=False, **kwargs)
Boxplot for a continuous variable
- Parameters:
x (Factor | Interaction | NestedEffect | str) – Category definition (draw one box for every cell in
x
).match (Factor | Interaction | NestedEffect | str) – Match cases for a repeated measures design.
cells (Sequence[str | Tuple[str, ...]]) – Cells to plot (optional). All entries have to be cells of
x
). Can be used to change the order of the bars or plot only certain cells.test (bool | scalar) –
True
(default): perform pairwise tests;False
: no tests; scalar: 1-sample tests against this value.tail (Literal[-1, 0, 1]) – Tailedness of the test (when testing against population mean).
par (bool) – Use parametric test for pairwise comparisons (use non-parametric tests if False).
corr (bool | Literal['hochberg', 'bonferroni', 'holm']) – Method for multiple comparison correction (default ‘hochberg’).
trend (bool | str) – Marker for a trend in pairwise comparisons.
test_markers (bool) – For pairwise tests, plot markers indicating significance level (stars).
bottom (float) – Lowest possible value on the y axis (default is 0 or slightly below the lowest value).
top (float) – Set the upper x axis limit (default is to fit all the data).
xlabel (bool | str) – X-axis label. By default the label is inferred from the data.
ylabel (bool | str) – Y-axis label. By default the label is inferred from the data.
labels (Dict[str | Tuple[str, ...], str]) – Labels for cells as
{cell: label}
dictionary.xticks (bool | Dict[str | Tuple[str, ...], str] | Sequence[str]) – X-axis tick labels. The default is to use the cell names from
x
. Can be specified as list of labels or as{cell: label}
dict
, or set toFalse
to plot no labels.xtick_delim (str) – Delimiter for x axis category descriptors (default is
'\n'
, i.e. the level on each Factor ofx
on a separate line).xtick_rotation (float | str) – Tick label orientation –
'vertical'
'horizontal'
or an angle.colors (bool | sequence | dict of matplitlib colors) – Matplotlib colors to use for boxes (True to use the module default; default is False, i.e. no colors).
data (Dataset) – If a Dataset is specified, all data-objects can be specified as names of Dataset variables
label_fliers (bool) – Add labels to flier points (outliers); requires
match
to be specified.... – Also accepts General layout parameters and
boxplot()
parameters.
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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|
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Create FMTXT Image from the figure |
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Mark a pair of categories with a line and a label |
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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 |
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Set the y-axis limits |