def show_image(img: np.array, ax: plt.Subplot = None, title: str = ''):
if ax:
ax.set_title(title)
ax.set_yticklabels([])
ax.set_xticklabels([])
ax.axes.get_xaxis().set_visible(False)
ax.axes.get_yaxis().set_visible(False)
ax.imshow(img)
else:
plt.imshow(img)
def plot_stop_accessibility_cdf(subplot: Subplot, result: CrossStopRemovalResult):
"""Plot the accessibility difference in ``result`` as a subplot onto ``subplot``."""
# pylint: disable=invalid-name
# Configure plot
subplot.set_xlabel("Distance to stop (km)", size=20)
subplot.set_ylabel("Percentile", size=20)
subplot.set_title(result.stop_removed.cross_name, size=24)
# Plot CDF
x, y = result.metrics_before.get_quantile_cdf(20)
subplot.plot(x, y, label="Before")
x, y = result.metrics_after.get_quantile_cdf(20)
subplot.plot(x, y, label="After")
# Post-configure the plot
subplot.legend(loc="upper right")
def plot_stop_accessibility_hist(subplot: Subplot,
result: CrossStopRemovalResult):
"""Plot the accessibility difference in ``result`` as a subplot onto ``subplot``."""
# ----- Plot histogram
# https://datavizpyr.com/overlapping-histograms-with-matplotlib-in-python/
# Configure plot
subplot.set_xlabel("Distance to stop (km)", size=14)
subplot.set_ylabel("Agent count", size=14)
subplot.set_title(
f"Distance to stop between before and after removing {result.stop_removed.cross_name}"
)
# Plot histograms
subplot.hist(result.metrics_before.data,
bins=20,
alpha=0.5,
label="Before")
subplot.hist(result.metrics_after.data, bins=20, alpha=0.5, label="After")
# Post-configure the plot
subplot.legend(loc="upper right")