| | |
| | |
| |
|
| | """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)) |
| |
|
