"""
Illustrate the difference between corner_mask=False and corner_mask=True
for masked contour plots.
"""
import matplotlib.pyplot as plt
import numpy as np

# Data to plot.
x, y = np.meshgrid(np.arange(7), np.arange(10))
z = np.sin(0.5*x)*np.cos(0.52*y)

# Mask various z values.
mask = np.zeros_like(z, dtype=np.bool)
mask[2, 3:5] = True
mask[3:5, 4] = True
mask[7, 2] = True
mask[5, 0] = True
mask[0, 6] = True
z = np.ma.array(z, mask=mask)

corner_masks = [False, True]
for i, corner_mask in enumerate(corner_masks):
    plt.subplot(1, 2, i+1)
    cs = plt.contourf(x, y, z, corner_mask=corner_mask)
    plt.contour(cs, colors='k')
    plt.title('corner_mask = {0}'.format(corner_mask))

    # Plot grid.
    plt.grid(c='k', ls='-', alpha=0.3)

    # Indicate masked points with red circles.
    plt.plot(np.ma.array(x, mask=~mask), y, 'ro')

plt.show() 

　

M:\______\contour_corner_mask.py:13: FutureWarning: 
    In the future `np.bool` will be defined as the corresponding NumPy scalar.
  mask = np.zeros_like(z, dtype=np.bool)
Traceback (most recent call last):
  File "M:\______\contour_corner_mask.py", line 13, in 
    mask = np.zeros_like(z, dtype=np.bool)
                                  ^^^^^^^
  File "C:\Users\______\AppData\Local\Programs\Python\Python311\Lib
    \site-packages\numpy\__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. 
  To avoid this error in existing code, use `bool` by itself. 
  Doing this will not modify any behavior and is safe. 
  If you specifically wanted the numpy scalar type, use `np.bool_` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see 
  the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations. Did you mean: 'bool_'?  

E:\______\contour_corner_mask.py:13: FutureWarning: 
    In the future `np.bool` will be defined as the corresponding NumPy scalar.
  mask = np.zeros_like(z, dtype=np.bool)
Traceback (most recent call last):
  File "E:\______\contour_corner_mask.py", line 13, in 
    mask = np.zeros_like(z, dtype=np.bool)
                                  ^^^^^^^
  File "C:\Users\kamif\AppData\Roaming\Python\Python312\site-packages\numpy\__init__.py", 
    line 338, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. 
  To avoid this error in existing code, use `bool` by itself. Doing this will not modify 
  any behavior and is safe. If you specifically wanted the numpy scalar type, 
  use `np.bool_` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see 
  the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations. Did you mean: 'bool_'?  

"""
===================
Contour Corner Mask
===================

Illustrate the difference between ``corner_mask=False`` and
``corner_mask=True`` for masked contour plots.  The default is controlled by
:rc:`contour.corner_mask`.
"""

import matplotlib.pyplot as plt
import numpy as np

# Data to plot.
x, y = np.meshgrid(np.arange(7), np.arange(10))
z = np.sin(0.5 * x) * np.cos(0.52 * y)

# Mask various z values.
mask = np.zeros_like(z, dtype=bool)
mask[2, 3:5] = True
mask[3:5, 4] = True
mask[7, 2] = True
mask[5, 0] = True
mask[0, 6] = True
z = np.ma.array(z, mask=mask)

corner_masks = [False, True]
fig, axs = plt.subplots(ncols=2)
for ax, corner_mask in zip(axs, corner_masks):
    cs = ax.contourf(x, y, z, corner_mask=corner_mask)
    ax.contour(cs, colors='k')
    ax.set_title(f'{corner_mask=}')

    # Plot grid.
    ax.grid(c='k', ls='-', alpha=0.3)

    # Indicate masked points with red circles.
    ax.plot(np.ma.array(x, mask=~mask), y, 'ro')

plt.show()

# %%
#
# .. admonition:: References
#
#    The use of the following functions, methods, classes and modules is shown
#    in this example:
#
#    - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
#    - `matplotlib.axes.Axes.contourf` / `matplotlib.pyplot.contourf` 

　Python 3.11.6 (matplotlib 3.7.1) 及び Python 3.12.0 (matplotlib 3.8.1) 共に、正常実行です。

　

• 2023/11/23 Ver=1.04 Python 3.12.0 (matplotlib 3.8.1)で確認
• 2023/11/23 Ver=1.04 Python 3.11.6 (matplotlib 3.7.1)で確認
• 2023/04/01 Ver=1.03 Python 3.11.2 で確認
• 2020/10/31 Ver=1.01 Python 3.7.8 で確認
• 2018/11/28 Ver=1.01 初版リリース

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