mvpa2.misc.plot.scatter.plot_scatter

mvpa2.misc.plot.scatter.plot_scatter(dataXd, mask=None, masked_opacity=0.0, labels=None, colors=True, dimcolor=1, title=None, limits='auto', thresholds=None, hint_opacity=0.9, x_jitter=None, y_jitter=None, fig=None, ax_scatter=None, ax_hist_x=None, ax_hist_y=None, bp_location='scatter', xlim=None, ylim=None, rasterized=None, uniq=False, include_stats=False)
Parameters :

dataXd: array :

The volumetric (or not) data to plot where first dimension should only have 2 items

mask: array, optional :

Additional mask to specify which values do not consider to plot. By default values with 0s in both dimensions are not plotted.

masked_opacity: float, optional :

By default masked out values are not plotted at all. Value in (0,1] will make them visible with this specified opacity

labels: list of str, optional :

Labels to place for x and y axes

colors: bool or string or colormap, optional :

Either to use colors to associate with physical location and what colormap to use (jet by default if colors=True)

dimcolor: int :

If colors, then which dimension (within given 3D volume) to “track”

limits: ‘auto’, ‘same’, ‘per-axis’ or (min, max) :

Limits for axes: when ‘auto’ if data ranges overlap is more than 50% of the union range, ‘same’ is considered. When ‘same’ – the same limits on both axes as determined by data. If two-element tuple or list is provided, then that range is applied to both axes.

hint_opacity: float, optional :

If colors is True, to then a “slice” of the volumetric data is plotted in the specified opacity to hint about the location of points in the original Xd data in dimcolor dimension

x_jitter: float, optional :

Half-width of uniform noise added to x values. Might be useful if data is quantized so it is valuable to jitter points a bit.

y_jitter: float, optional :

Half-width of uniform noise added to y values. Might be useful if data is quantized so it is valuable to jitter points a bit

fig : Figure, optional

Figure to plot on, otherwise new one created

ax_*: axes, optional :

Axes for the scatter plot and histograms. If none of them is specified (which is the default) then ‘classical’ plot is rendered with histograms above and to the right

bp_location: (‘scatter’, ‘hist’, None), optional :

Where to place boxplots depicting data range

xlim: tuple, optional :

ylim: tuple, optional :

To fix plotted range

rasterized: bool, optional :

Passed to scatter call, to allow rasterization of heavy scatter plots

uniq: bool, optional :

Plot uniq values (those present in one but not in the other) along each axis with crosses

include_stats: bool, optional :

Whether to report additional statistics on the data. Stats are also reported via verbose at level 2

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