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Fix NumPy 2.0 compatibility: replace deprecated .ptp() method calls with np.ptp() #229

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Fix NumPy 2.0 compatibility: replace deprecated .ptp() method calls with np.ptp() #229

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Copilot Aug 6, 2025
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Fix NumPy 2.0 compatibility: replace .ptp() method calls with np.ptp()
Copilot Aug 6, 2025
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26 changes: 13 additions & 13 deletions lectures/match_transport.md
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Original file line number Diff line number Diff line change
Expand Up @@ -575,9 +575,9 @@ def plot_H_z(self, figsize=(15, 8), range_x_axis=None, scatter=True):
plt.axhline(0, color='black', linewidth=1)

# determine the step points for horizontal lines
step = np.concatenate(([self.support_z.min() - .05 * self.support_z.ptp()],
step = np.concatenate(([self.support_z.min() - .05 * np.ptp(self.support_z)],
self.support_z,
[self.support_z.max() + .05 * self.support_z.ptp()]))
[self.support_z.max() + .05 * np.ptp(self.support_z)]))
height = np.concatenate(([0], H_z, [0]))

# plot the horizontal lines of the step function
Expand Down Expand Up @@ -699,9 +699,9 @@ def plot_layers(self, figsize=(15, 8)):
plt.figure(figsize=figsize)

# Plot H(z)
step = np.concatenate(([self.support_z.min() - .05 * self.support_z.ptp()],
step = np.concatenate(([self.support_z.min() - .05 * np.ptp(self.support_z)],
self.support_z,
[self.support_z.max() + .05 * self.support_z.ptp()]))
[self.support_z.max() + .05 * np.ptp(self.support_z)]))
height = np.concatenate((H_z, [0]))
plt.step(step, height, where='post', color='black', label='CDF', zorder=1)

Expand Down Expand Up @@ -984,7 +984,7 @@ def plot_layer_matching(self, layer, matching_layer):
ax.spines['top'].set_color('none')
ax.spines['right'].set_color('none')
ax.yaxis.set_ticks([])
ax.set_ylim(bottom= -self.support_z.ptp() / 100)
ax.set_ylim(bottom= -np.ptp(self.support_z) / 100)

plt.show()

Expand Down Expand Up @@ -1319,29 +1319,29 @@ def plot_matching(self, matching_off_diag, title, figsize=(15, 15),
ax.spines['top'].set_color('none')
ax.spines['right'].set_color('none')
ax.yaxis.set_ticks([])
ax.set_ylim(- self.X_types.ptp() / 10,
(max_height / 2) + self.X_types.ptp()*.01)
ax.set_ylim(- np.ptp(self.X_types) / 10,
(max_height / 2) + np.ptp(self.X_types)*.01)

# Plot H_z on the main axis if enabled
if plot_H_z:
H_z = np.cumsum(self.q_z)

step = np.concatenate(([self.support_z.min()
- .02 * self.support_z.ptp()],
- .02 * np.ptp(self.support_z)],
self.support_z,
[self.support_z.max()
+ .02 * self.support_z.ptp()]))
+ .02 * np.ptp(self.support_z)]))

H_z = H_z/H_z.ptp() * self.support_z.ptp() /2
H_z = H_z/np.ptp(H_z) * np.ptp(self.support_z) /2
height = np.concatenate(([0], H_z, [0]))

# Plot the compressed H_z on the same main x-axis
ax.step(step, height, color='green', lw=2,
label='$H_z$', where='post')

# Set the y-limit to keep H_z and maximum circle size in the plot
ax.set_ylim(np.min(H_z) - H_z.ptp() *.01,
np.maximum(np.max(H_z), max_height / 2) + H_z.ptp() *.01)
ax.set_ylim(np.min(H_z) - np.ptp(H_z) *.01,
np.maximum(np.max(H_z), max_height / 2) + np.ptp(H_z) *.01)

# Add label and legend for H_z
ax.legend(loc="upper right")
Expand Down Expand Up @@ -1907,7 +1907,7 @@ def plot_hierarchies(self, subpairs, scatter=True, range_x_axis=None):

if range_x_axis is not None:
ax.set_xlim(range_x_axis)
ax.set_ylim(- self.X_types.ptp() / 10,
ax.set_ylim(- np.ptp(self.X_types) / 10,
(range_x_axis[1] - range_x_axis[0]) / 2 )

# Title and layout settings for the main plot
Expand Down
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