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Use bool for bool keyword arguments #22821

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Merged
merged 1 commit into from
Apr 11, 2022
Merged

Use bool for bool keyword arguments #22821

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2 changes: 1 addition & 1 deletion doc/users/next_whats_new/custom_cap_widths.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -12,5 +12,5 @@ widths of the caps in box and whisker plots.
x = np.linspace(-7, 7, 140)
x = np.hstack([-25, x, 25])
fig, ax = plt.subplots()
ax.boxplot([x, x], notch=1, capwidths=[0.01, 0.2])
ax.boxplot([x, x], notch=True, capwidths=[0.01, 0.2])
plt.show()
6 changes: 3 additions & 3 deletions examples/statistics/boxplot_demo.py
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Expand Up @@ -105,7 +105,7 @@
fig.canvas.manager.set_window_title('A Boxplot Example')
fig.subplots_adjust(left=0.075, right=0.95, top=0.9, bottom=0.25)

bp = ax1.boxplot(data, notch=0, sym='+', vert=1, whis=1.5)
bp = ax1.boxplot(data, notch=False, sym='+', vert=True, whis=1.5)
plt.setp(bp['boxes'], color='black')
plt.setp(bp['whiskers'], color='black')
plt.setp(bp['fliers'], color='red', marker='+')
Expand Down Expand Up @@ -221,7 +221,7 @@ def fake_bootstrapper(n):
fig, ax = plt.subplots()
pos = np.arange(len(treatments)) + 1
bp = ax.boxplot(treatments, sym='k+', positions=pos,
notch=1, bootstrap=5000,
notch=True, bootstrap=5000,
usermedians=medians,
conf_intervals=conf_intervals)

Expand All @@ -239,7 +239,7 @@ def fake_bootstrapper(n):
x = np.hstack([-25, x, 25])
fig, ax = plt.subplots()

ax.boxplot([x, x], notch=1, capwidths=[0.01, 0.2])
ax.boxplot([x, x], notch=True, capwidths=[0.01, 0.2])

plt.show()

Expand Down
2 changes: 1 addition & 1 deletion examples/user_interfaces/embedding_in_tk_sgskip.py
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Expand Up @@ -62,6 +62,6 @@ def update_frequency(new_val):
button_quit.pack(side=tkinter.BOTTOM)
slider_update.pack(side=tkinter.BOTTOM)
toolbar.pack(side=tkinter.BOTTOM, fill=tkinter.X)
canvas.get_tk_widget().pack(side=tkinter.TOP, fill=tkinter.BOTH, expand=1)
canvas.get_tk_widget().pack(side=tkinter.TOP, fill=tkinter.BOTH, expand=True)

tkinter.mainloop()
2 changes: 1 addition & 1 deletion tutorials/introductory/pyplot.py
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Expand Up @@ -327,7 +327,7 @@ def f(t):
x = mu + sigma * np.random.randn(10000)

# the histogram of the data
n, bins, patches = plt.hist(x, 50, density=1, facecolor='g', alpha=0.75)
n, bins, patches = plt.hist(x, 50, density=True, facecolor='g', alpha=0.75)


plt.xlabel('Smarts')
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2 changes: 1 addition & 1 deletion tutorials/introductory/quick_start.py
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Expand Up @@ -288,7 +288,7 @@ def my_plotter(ax, data1, data2, param_dict):
x = mu + sigma * np.random.randn(10000)
fig, ax = plt.subplots(figsize=(5, 2.7), layout='constrained')
# the histogram of the data
n, bins, patches = ax.hist(x, 50, density=1, facecolor='C0', alpha=0.75)
n, bins, patches = ax.hist(x, 50, density=True, facecolor='C0', alpha=0.75)

ax.set_xlabel('Length [cm]')
ax.set_ylabel('Probability')
Expand Down