eelbrain.plot.Topomap
- class eelbrain.plot.Topomap(y, xax=None, data=None, sub=None, vmax=None, vmin=None, cmap=None, contours=None, proj='default', res=None, interpolation=None, clip='even', clip_distance=0.05, head_radius=None, head_pos=0, im_interpolation=None, sensors='.', sensorlabels=None, mark=None, mcolor=None, msize=20, marker='o', axtitle=True, xlabel=None, margins=None, **kwargs)
Plot individual topogeraphies
- Parameters:
y (Union[NDVarArg, Sequence[NDVarArg]]) – Data to plot.
xax (CategorialArg) – Create a separate plot for each cell in this model.
data (Dataset) – If a Dataset is provided, data can be specified as strings.
sub (IndexArg) – Specify a subset of the data.
vmax (float) – Upper limits for the colormap (default is determined from data).
vmin (float) – Lower limit for the colormap (default
-vmax
).cmap (CMapArg) – Colormap (default depends on the data).
contours (Union[int, Sequence, Dict]) – Contours to draw on topomaps. Can be an int (number of contours, including
vmin
/vmax
), a sequence (values at which to draw contours), or a**kwargs
dict (must contain at least the “levels” key). Default is no contours.proj (str) – The sensor projection to use for topomaps (or one projection per plot).
res (int) – Resolution of the topomaps (width = height =
res
).interpolation (InterpolationArg) – Method for interpolating topo-map between sensors (default is based on mne-python).
clip (bool | 'even' | 'circle') – Outline for clipping topomaps: ‘even’ to clip at a constant distance (default), ‘circle’ to clip using a circle.
clip_distance (float) – How far from sensor locations to clip (1 is the axes height/width).
head_radius (Union[float, Tuple[float, float]]) – Radius of the head outline drawn over sensors (on sensor plots with normalized positions, 0.45 is the outline of the topomap); 0 to plot no outline; tuple for separate (right, anterior) radius. The default is determined automatically.
head_pos (Union[float, Sequence[float]]) – Head outline position along the anterior axis (0 is the center, 0.5 is the top end of the plot).
im_interpolation (str) – Topomap image interpolation (see Matplotlib’s
imshow()
). Matplotlib 1.5.3’s SVG output can’t handle uneven aspect withinterpolation='none'
, useinterpolation='nearest'
instead.sensors (Union[str, matplotlib.markers.MarkerStyle]) – How to mark sensor locations in the topomap (empty string
''
to omit marks).sensorlabels (SensorLabelsArg) – Show sensor labels. For ‘name’, any prefix common to all names is removed; with ‘fullname’, the full name is shown.
mark (IndexArg) – Sensors which to mark.
mcolor (Union[ColorArg, Sequence[ColorArg]]) – Color for marked sensors (see
matplotlib.pyplot.scatter()
).msize (Union[float, Sequence[float]]) – Size of the markers (see
matplotlib.pyplot.scatter()
).marker (Union[str, matplotlib.markers.MarkerStyle]) – Marker shape (see
matplotlib.pyplot.scatter()
).axtitle (Union[bool, Sequence[str]]) – Title for the individual axes. The default is to show the names of the epochs, but only if multiple axes are plotted.
xlabel (Union[bool, str]) – Label below the topomaps (default is no label;
True
to usey
names).... – Also accepts General layout parameters.
Notes
- Keys:
t
: open aTopomap
plot for the region under the mouse pointer.T
: open a largerTopomap
plot with visible sensor names for the map under the mouse pointer.
Methods
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Add a contour line |
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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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Retrieve colormap value limits as |
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Create FMTXT Image from the figure |
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Mark given sensors on the plots |
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Plot a colorbar corresponding to the displayed data |
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Short-cut for Matplotlib's |
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Move overlapping labels apart along the x axis |
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Change the colormap in the array plots |
|
|
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Add/remove sensor labels |
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Set the figure window title |
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Change the colormap limits |
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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 |