def plot_tsdiffs_image(img, axes=None, show=True):
''' Plot time series diagnostics for image
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 : bool, 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 not None
'''
if isinstance(img, basestring):
title = img
else:
title = 'Difference plots'
img = nipy.as_image(img)
res = time_slice_diffs(img)
axes = plot_tsdiffs(res, axes)
axes[0].set_title(title)
if show:
# show the plot
import matplotlib.pyplot as plt
plt.show()
return axes
def plot_tsdiffs_image(img, axes=None, show=True):
''' Plot time series diagnostics for image
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 : bool, 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 not None
'''
if isinstance(img, basestring):
title = img
else:
title = 'Difference plots'
img = nipy.as_image(img)
res = time_slice_diffs(img)
axes = plot_tsdiffs(res, axes)
axes[0].set_title(title)
if show:
# show the plot
import matplotlib.pyplot as plt
plt.show()
return axes
def plot_tsdiffs_image(img, axes=None, show=True):
""" 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
"""
if isinstance(img, string_types):
title = img
else:
title = "Difference plots"
img = nipy.as_image(img)
res = time_slice_diffs(img)
axes = plot_tsdiffs(res, axes)
axes[0].set_title(title)
if show:
# show the plot
import matplotlib.pyplot as plt
plt.show()
return axes
def plot_tsdiffs_image(img, axes=None, show=True):
''' 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
'''
if isinstance(img, string_types):
title = img
else:
title = 'Difference plots'
img = nipy.as_image(img)
res = time_slice_diffs(img)
axes = plot_tsdiffs(res, axes)
axes[0].set_title(title)
if show:
# show the plot
import matplotlib.pyplot as plt
plt.show()
return axes
