algorithms.diagnostics.tsdiffplot¶
Module: algorithms.diagnostics.tsdiffplot
¶
plot tsdiffana parameters
Functions¶
-
nipy.algorithms.diagnostics.tsdiffplot.
plot_tsdiffs
(results, axes=None)¶ Plotting routine for time series difference metrics
Requires matplotlib
Parameters: results : dict
Results of format returned from
nipy.algorithms.diagnostics.time_slice_diff()
-
nipy.algorithms.diagnostics.tsdiffplot.
plot_tsdiffs_image
(*args, **kwds)¶ plot_tsdiffs_image is deprecated! Please see docstring for alternative code
Plot time series diagnostics for image
This function is deprecated; please use something like:
results = time_slice_diff_image(img, slice_axis=2) plot_tsdiffs(results)
instead.
Parameters: img : image-like or filename str
image on which to do diagnostics
- axes : None or sequence, optional
Axes on which to plot the diagnostics. If None, then we create a figure and subplots for the plots. Sequence should have length >=4.
- show : {True, False}, optional
If True, show the figure after plotting it
Returns: axes : Matplotlib axes
Axes on which we have done the plots. Will be same as axes input if axes input was not None