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fc0f7bd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
"""Utilities for plotting curves."""
from ._constants import _MATPLOTLIB_IMPORT_ERROR_MESSAGE
try:
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import matplotlib.colors
tab10_norm = matplotlib.colors.Normalize(vmin=0, vmax=7)
tab10_scalarMap = cm.ScalarMappable(norm=tab10_norm, cmap='Dark2')
debug_colors = [tab10_scalarMap.to_rgba(x) for x in range(10)]
debug_ncolors = len(debug_colors)
debug_colormap = {}
highlight_color = [0.95, 0.90, 0.40]
except ImportError:
raise RuntimeError(_MATPLOTLIB_IMPORT_ERROR_MESSAGE)
def _get_debug_color(key):
if key not in debug_colormap:
color = debug_colors[len(debug_colormap) % debug_ncolors]
debug_colormap[key] = color
return debug_colormap[key]
def plot_solution_and_show_plot(x_best, y_best, solution_label, xlabel, ylabel):
"""Plot the given solution with appropriate labels."""
if y_best is None:
plt.axvline(x=x_best, label=solution_label, ls='--')
else:
plt.plot(x_best, y_best, 'm*', ms=10, label=solution_label)
plt.legend()
plt.xlabel(xlabel)
plt.ylabel(ylabel)
plt.show()
def plot_overlap(x_grid, y_min):
"""Plot the overlap region."""
line, = plt.plot(x_grid, y_min, color=highlight_color, lw=8, label='overlap')
line.zorder -= 1
def plot_curve(sensitive_feature, x_col, y_col, points):
"""Plot the given curve with labels."""
color = _get_debug_color(sensitive_feature)
plt.plot(points[x_col], points[y_col], c=color, ls='-', lw=2.0,
label='sensitive feature value ' + str(sensitive_feature))
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