Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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96 lines
3.4 KiB
96 lines
3.4 KiB
# being a bit too dynamic
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import warnings
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import matplotlib.cm as cm
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import matplotlib.colors
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import numpy as np
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from pandas.core.dtypes.common import is_list_like
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import pandas.core.common as com
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def _get_standard_colors(
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num_colors=None, colormap=None, color_type="default", color=None
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):
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import matplotlib.pyplot as plt
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if color is None and colormap is not None:
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if isinstance(colormap, str):
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cmap = colormap
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colormap = cm.get_cmap(colormap)
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if colormap is None:
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raise ValueError(f"Colormap {cmap} is not recognized")
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colors = [colormap(num) for num in np.linspace(0, 1, num=num_colors)]
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elif color is not None:
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if colormap is not None:
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warnings.warn(
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"'color' and 'colormap' cannot be used simultaneously. Using 'color'"
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)
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colors = (
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list(color)
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if is_list_like(color) and not isinstance(color, dict)
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else color
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)
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else:
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if color_type == "default":
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# need to call list() on the result to copy so we don't
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# modify the global rcParams below
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try:
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colors = [c["color"] for c in list(plt.rcParams["axes.prop_cycle"])]
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except KeyError:
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colors = list(plt.rcParams.get("axes.color_cycle", list("bgrcmyk")))
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if isinstance(colors, str):
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colors = list(colors)
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colors = colors[0:num_colors]
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elif color_type == "random":
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def random_color(column):
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""" Returns a random color represented as a list of length 3"""
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# GH17525 use common._random_state to avoid resetting the seed
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rs = com.random_state(column)
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return rs.rand(3).tolist()
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colors = [random_color(num) for num in range(num_colors)]
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else:
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raise ValueError("color_type must be either 'default' or 'random'")
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if isinstance(colors, str):
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conv = matplotlib.colors.ColorConverter()
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def _maybe_valid_colors(colors):
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try:
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[conv.to_rgba(c) for c in colors]
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return True
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except ValueError:
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return False
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# check whether the string can be convertible to single color
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maybe_single_color = _maybe_valid_colors([colors])
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# check whether each character can be convertible to colors
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maybe_color_cycle = _maybe_valid_colors(list(colors))
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if maybe_single_color and maybe_color_cycle and len(colors) > 1:
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hex_color = [c["color"] for c in list(plt.rcParams["axes.prop_cycle"])]
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colors = [hex_color[int(colors[1])]]
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elif maybe_single_color:
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colors = [colors]
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else:
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# ``colors`` is regarded as color cycle.
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# mpl will raise error any of them is invalid
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pass
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# Append more colors by cycling if there is not enough color.
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# Extra colors will be ignored by matplotlib if there are more colors
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# than needed and nothing needs to be done here.
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if len(colors) < num_colors:
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try:
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multiple = num_colors // len(colors) - 1
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except ZeroDivisionError:
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raise ValueError("Invalid color argument: ''")
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mod = num_colors % len(colors)
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colors += multiple * colors
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colors += colors[:mod]
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return colors
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