def show(self, method='', title='', indices=None, **kwargs):
"""Create a figure displaying the function in 1d or 2d.
Parameters
----------
method : `str`, optional
1d methods:
'plot' : graph plot
2d methods:
'imshow' : image plot with coloring according to value,
including a colorbar.
'scatter' : cloud of scattered 3d points
(3rd axis <-> value)
indices : index expression
Display a slice of the array instead of the full array.
The index expression is most easily created with the
`numpy.s_` constructur, i.e. supply ``np.s_[:, 1, :]``
to display the first slice along the second axis.
title : `str`, optional
Set the title of the figure
kwargs : {'figsize', 'saveto', ...}
Extra keyword arguments passed on to display method
See the Matplotlib functions for documentation of extra
options.
title : `str`, optional
Set the title of the figure
kwargs : {'figsize', 'saveto', ...}
Extra keyword arguments passed on to display method
See the Matplotlib functions for documentation of extra
options.
See Also
--------
matplotlib.pyplot.plot : Show graph plot
matplotlib.pyplot.imshow : Show data as image
matplotlib.pyplot.scatter : Show scattered 3d points
"""
from odl.util.graphics import show_discrete_function
show_discrete_function(self, method=method, title=title,
indices=indices, **kwargs)
def show(self, method='', title='', indices=None,
show=False, fig=None, **kwargs):
"""Display the function graphically.
Parameters
----------
method : `str`, optional
1d methods:
'plot' : graph plot
2d methods:
'imshow' : image plot with coloring according to value,
including a colorbar.
'scatter' : cloud of scattered 3d points
(3rd axis <-> value)
indices : index expression
Display a slice of the array instead of the full array.
The index expression is most easily created with the
`numpy.s_` constructur, i.e. supply ``np.s_[:, 1, :]``
to display the first slice along the second axis.
title : `str`, optional
Set the title of the figure
show : `bool`, optional
If the plot should be showed now or deferred until later.
fig : ``matplotlib`` figure
The figure to show in. Expected to be of same "style", as
the figure given by this function. The most common use case
is that ``fig`` is the return value from an earlier call to
this function.
kwargs : {'figsize', 'saveto', ...}
Extra keyword arguments passed on to display method
See the Matplotlib functions for documentation of extra
options.
Returns
-------
fig : ``matplotlib`` figure
The resulting figure. It is also shown to the user.
See Also
--------
matplotlib.pyplot.plot : Show graph plot
matplotlib.pyplot.imshow : Show data as image
matplotlib.pyplot.scatter : Show scattered 3d points
"""
from odl.util.graphics import show_discrete_function
return show_discrete_function(self, method=method, title=title,
indices=indices, show=show, fig=fig,
**kwargs)
def show(self, method='', title='', **kwargs):
"""Create a figure displaying the function in 1d or 2d.
Parameters
----------
method : `str`, optional
1d methods:
'plot' : graph plot
2d methods:
'imshow' : image plot with coloring according to value,
including a colorbar.
'scatter' : cloud of scattered 3d points
(3rd axis <-> value)
'wireframe', 'plot_wireframe' : surface plot
title : `str`, optional
Set the title of the figure
kwargs : {'figsize', 'saveto', ...}
Extra keyword arguments passed on to display method
See the Matplotlib functions for documentation of extra
options.
See Also
--------
matplotlib.pyplot.plot : Show graph plot
matplotlib.pyplot.imshow : Show data as image
matplotlib.pyplot.scatter : Show scattered 3d points
"""
from odl.util.graphics import show_discrete_function
show_discrete_function(self, method=method, title=title,
**kwargs)