def __init__(self, name, segmented_data, index=None, **kwargs):
if index is None:
# If index not given, RGB colors are evenly-spaced in colormap.
index = np.linspace(0, 1, len(segmented_data['red']))
for key, value in segmented_data.items():
# Combine color index with color values.
segmented_data[key] = zip(index, value)
segmented_data = dict((key, [(x, y, y) for x, y in value])
for key, value in segmented_data.items())
LinearSegmentedColormap.__init__(self, name, segmented_data, **kwargs)
def __init__(self, name, segmented_data, index=None, **kwargs):
if index is None:
# If index not given, RGB colors are evenly-spaced in colormap.
index = np.linspace(0, 1, len(segmented_data['red']))
for key, value in segmented_data.items():
# Combine color index with color values.
segmented_data[key] = zip(index, value)
segmented_data = dict((key, [(x, y, y) for x, y in value])
for key, value in segmented_data.items())
LinearSegmentedColormap.__init__(self, name, segmented_data, **kwargs)
def __init__(self, name, color_data, index=None, **kwargs):
if not hasattr(color_data, 'keys'):
color_data = rgb_list_to_colordict(color_data)
if index is None:
# If index not given, RGB colors are evenly-spaced in colormap.
index = np.linspace(0, 1, len(color_data['red']))
# Adapt color_data to the form expected by LinearSegmentedColormap.
color_data = dict((key, [(x, y, y) for x, y in zip(index, value)])
for key, value in color_data.items())
LinearSegmentedColormap.__init__(self, name, color_data, **kwargs)
def __init__(self, name, color_data, index=None, **kwargs):
if not hasattr(color_data, 'keys'):
color_data = rgb_list_to_colordict(color_data)
if index is None:
# If index not given, RGB colors are evenly-spaced in colormap.
index = np.linspace(0, 1, len(color_data['red']))
# Adapt color_data to the form expected by LinearSegmentedColormap.
color_data = dict((key, [(x, y, y) for x, y in zip(index, value)])
for key, value in color_data.items())
LinearSegmentedColormap.__init__(self, name, color_data, **kwargs)
def __init__(self, name, segmented_data, **kwargs):
segmented_data = dict((key, [(x, y, y) for x, y in value])
for key, value in segmented_data.items())
LinearSegmentedColormap.__init__(self, name, segmented_data, **kwargs)
def __init__(self, name, segmented_data, **kwargs):
segmented_data = dict((key, [(x, y, y) for x, y in value])
for key, value in segmented_data.items())
LinearSegmentedColormap.__init__(self, name, segmented_data, **kwargs)
def __init__(self, name, segmented_data, **kwargs):
segmented_data = {
key: [(x, y, y) for x, y in value]
for key, value in segmented_data.items()
}
LinearSegmentedColormap.__init__(self, name, segmented_data, **kwargs)
def __init__(self, name, segmented_data, **kwargs):
segmented_data = {key: [(x, y, y) for x, y in value]
for key, value in segmented_data.items()}
LinearSegmentedColormap.__init__(self, name, segmented_data, **kwargs)
