eelbrain.plot.BarplotHorizontal¶
-
class
eelbrain.plot.
BarplotHorizontal
(y, x=None, match=None, sub=None, cells=None, test=False, tail=0, par=True, corr='Hochberg', trend=False, test_markers=True, ylabel=True, error='sem', pool_error=None, ec='k', xlabel=True, xticks=True, xtick_delim=' ', colors=False, bottom=0, top=None, origin=None, pos=None, width=0.5, c='#0099FF', edgec=None, ds=None, **kwargs)¶ Horizontal barplot for a continuous variable
For consistency with
plot.Barplot
,y
refers to the horizontal axis andx
refers to the vertical (categorial) axis.- Parameters
y (Var) – Dependent variable.
x (categorial) – Model (Factor or Interaction).
match (None | categorial) – Match cases for a repeated measures design.
sub (index-array) – Use a subset of the data.
cells (None | sequence of cells of x) – 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 (0 | 1 | -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 (None | 'hochberg' | 'bonferroni' | 'holm') – Method for multiple comparison correction (default ‘hochberg’).
trend (str) – Marker for a trend in pairwise comparisons.
test_markers (bool) – For pairwise tests, plot markers indicating significance level (stars).
ylabel (str | None) – Y axis label (default is inferred from the data).
error (
str
) – Measure of variability to plot. Examples:sem
: Standard error of the mean;2sem
: 2 standard error of the mean;ci
: 95% confidence interval;99%ci
: 99% confidence interval.pool_error (bool) – Pool the errors for the estimate of variability (default is True for related measures designs, False for others). See Loftus & Masson (1994).
ec (matplotlib color) – Error bar color.
xlabel (str | bool) – X axis label (default is
x.name
).xticks (None | sequence of str | dict) – X-axis tick labels describing the categories. The default is to use the cell names from
x
. Use list of labels or{cell: label}
dict
for custom labels. None to plot no labels.xtick_delim (str) – Delimiter for x axis category descriptors (default
' '
).hatch (bool | str) – Matplotlib Hatch pattern to fill boxes (True to use the module default; default is False).
colors (bool | dict | sequence of matplitlib colors) – Matplotlib colors to use for boxes (True to use the module default; default is False, i.e. no colors).
left (scalar) – Left end of the data axis (default is determined from the data).
right (scalar) – Right end of the data axis (default is determined from the data).
origin (scalar) – Origin of the bars on the data axis (the default is
0
).pos (sequence of scalar) – Position of the bars on the x-axis (default is
range(n_cells)
).width (scalar or sequence of scalar) – Width of the bars (deault 0.5).
c (matplotlib color) – Bar color (ignored if colors is specified).
edgec (matplotlib color) – Barplot edge color.
ds (Dataset) – If a Dataset is specified, all data-objects can be specified as names of Dataset variables
.. – Also accepts General layout 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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Draw vertical bars over 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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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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Set the x-axis limits for all axes |
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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 |