def visualize(profile):
"""
Automatically creates plots for the provided data structure. In some cases
many plots are created. For example, when a MatrixProfile is passed with
corresponding motifs and discords, the matrix profile, discords and motifs
will be plotted.
Parameters
----------
profile : dict_like
A MatrixProfile, Pan-MatrixProfile or Statistics data structure.
Returns
-------
list : figures
A list of matplotlib figures.
"""
figures = []
if not is_visualizable(profile):
raise ValueError(
'MatrixProfile, Pan-MatrixProfile or Statistics data structure expected!'
)
# plot MP
if core.is_mp_obj(profile):
figures = __combine(figures, plot_mp(profile))
if 'cmp' in profile and len(profile['cmp']) > 0:
figures = __combine(figures, plot_cmp_mp(profile))
if 'av' in profile and len(profile['av']) > 0:
figures = __combine(figures, plot_av_mp(profile))
if 'motifs' in profile and len(profile['motifs']) > 0:
figures = __combine(figures, plot_motifs_mp(profile))
if 'discords' in profile and len(profile['discords']) > 0:
figures = __combine(figures, plot_discords_mp(profile))
# plot PMP
if core.is_pmp_obj(profile):
figures = __combine(figures, plot_pmp(profile))
if 'motifs' in profile and len(profile['motifs']) > 0:
figures = __combine(figures, plot_motifs_pmp(profile))
if 'discords' in profile and len(profile['discords']) > 0:
figures = __combine(figures, plot_discords_pmp(profile))
# plot stats
if core.is_stats_obj(profile):
figures = __combine(figures, plot_stats(profile))
return figures
def is_visualizable(obj):
"""
Helper function to determine if the passed in object can be visualized or
not based on the data structure.
Parameters
----------
obj : Object
The object to test.
Returns
-------
A list of matplotlib figures.
"""
return core.is_mp_obj(obj) or core.is_pmp_obj(obj) or core.is_stats_obj(obj)