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plot-utils
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from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes | |
from mpl_toolkits.axes_grid1.inset_locator import mark_inset | |
# E.g., plot focal loss | |
def focal_loss(p, gamma): | |
return -np.power((1 - p), gamma) * np.log(p) | |
fig, ax = plt.subplots(figsize=[16, 5]) | |
[ax.plot(xs, focal_loss(xs, g), label='$\gamma = {}$'.format(g)) for g in [0, 0.5, 1, 2, 5]] | |
ax.set_xlabel('') | |
ax.set_ylabel('') | |
ax.spines["top"].set_visible(False) | |
ax.spines["right"].set_visible(False) | |
ax.legend() | |
# zoom-factor: (int), location: (int) center, bbox_to_anchor: (tuple) need adjustment | |
axins = zoomed_inset_axes(ax, zoom_factor, loc=10, bbox_to_anchor=(680, 200)) | |
[axins.plot(xs, focal_loss(xs, g)) for g in [0, 0.5, 1, 2, 5]] | |
# specify the limits | |
x1, x2, y1, y2 = 0.7, 0.9, -0.05, 0.4 | |
axins.set_xlim(x1, x2) # apply the x-limits | |
axins.set_ylim(y1, y2) # apply the y-limits | |
axins.set_title('Well Classification Samples') | |
axins.spines["top"].set_visible(False) | |
axins.spines["right"].set_visible(False) | |
axins.grid() | |
mark_inset(ax, axins, loc1=1, loc2=3, fc="none", ec="0.5") | |
plt.show() |
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