def showHeatmap(heatmap, *args, **kwargs):
"""Show *heatmap*, which can be an two dimensional array or a Heat Mapper
:file:`.hm` file.
Heatmap is plotted using :func:`~matplotlib.pyplot.imshow` function.
Default values passed to this function are ``interpolation='nearest'``,
``aspect='auto'``, and ``origin='lower'``."""
try:
ndim, shape = heatmap.ndim, heatmap.shape
except AttributeError:
heatmap, headers = parseHeatmap(heatmap)
ndim, shape = heatmap.ndim, heatmap.shape
xorigin = headers.pop('xorigin', 0)
xextent = headers.pop('xstep', 1) * shape[0]
ylabel = kwargs.get('ylabel', '').lower()
indices = None
if ylabel:
for key in headers.get('numbering', []):
if startswith(ylabel, key.lower()):
indices = headers.get(key)
if indices is not None:
extent = [
indices[0] - .5, indices[0] + len(indices) - .5, xorigin - .5,
xextent - .5
]
else:
extent = [-.5, shape[1] * 2 - .5, xorigin - .5, xextent - .5]
kwargs.setdefault('extent', extent)
for key in ['numbering', 'min', 'max'] + headers.get('numbering', []):
headers.pop(key, None)
headers.update(kwargs)
kwargs = headers
if ndim != 2:
raise ValueError('mutinfo must be a 2D matrix')
kwargs.setdefault('interpolation', 'nearest')
kwargs.setdefault('origin', 'lower')
kwargs.setdefault('aspect', 'auto')
xlabel = kwargs.pop('xlabel', None)
ylabel = kwargs.pop('ylabel', None)
title = kwargs.pop('title', None)
import matplotlib.pyplot as plt
show = plt.imshow(heatmap, *args, **kwargs), plt.colorbar()
if xlabel is not None:
plt.xlabel(xlabel)
if ylabel is not None:
plt.ylabel(ylabel)
if title is not None:
plt.title(title)
return show
def showHeatmap(heatmap, *args, **kwargs):
"""Show *heatmap*, which can be an two dimensional array or a Heat Mapper
:file:`.hm` file.
Heatmap is plotted using :func:`~matplotlib.pyplot.imshow` function.
Default values passed to this function are ``interpolation='nearest'``,
``aspect='auto'``, and ``origin='lower'``."""
try:
ndim, shape = heatmap.ndim, heatmap.shape
except AttributeError:
heatmap, headers = parseHeatmap(heatmap)
ndim, shape = heatmap.ndim, heatmap.shape
xorigin = headers.pop('xorigin', 0)
xextent = headers.pop('xstep', 1) * shape[0]
ylabel = kwargs.get('ylabel', '').lower()
indices = None
if ylabel:
for key in headers.get('numbering', []):
if startswith(ylabel, key.lower()):
indices = headers.get(key)
if indices is not None:
extent = [indices[0] - .5, indices[0] + len(indices) - .5,
xorigin - .5, xextent - .5]
else:
extent = [-.5, shape[1] * 2 - .5, xorigin - .5, xextent - .5]
kwargs.setdefault('extent', extent)
for key in ['numbering', 'min', 'max'] + headers.get('numbering', []):
headers.pop(key, None)
headers.update(kwargs)
kwargs = headers
if ndim != 2:
raise ValueError('mutinfo must be a 2D matrix')
kwargs.setdefault('interpolation', 'nearest')
kwargs.setdefault('origin', 'lower')
kwargs.setdefault('aspect', 'auto')
xlabel = kwargs.pop('xlabel', None)
ylabel = kwargs.pop('ylabel', None)
title = kwargs.pop('title', None)
import matplotlib.pyplot as plt
show = plt.imshow(heatmap, *args, **kwargs), plt.colorbar()
if xlabel is not None:
plt.xlabel(xlabel)
if ylabel is not None:
plt.ylabel(ylabel)
if title is not None:
plt.title(title)
return show