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"""
=====================
3D surface (colormap)
=====================
Demonstrates plotting a 3D surface colored with the coolwarm colormap.
The surface is made opaque by using ``antialiased=False``.
Also demonstrates using the `.LinearLocator` and custom formatting for the
z axis tick labels.
"""
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cm
from matplotlib.ticker import LinearLocator
fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
# Make data.
X = np.arange(-5, 5, 0.25)
Y = np.arange(-5, 5, 0.25)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = np.sin(R)
# Plot the surface.
surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,
linewidth=0, antialiased=False)
# Customize the z axis.
ax.set_zlim(-1.01, 1.01)
ax.zaxis.set_major_locator(LinearLocator(10))
# A StrMethodFormatter is used automatically
ax.zaxis.set_major_formatter('{x:.02f}')
# Add a color bar which maps values to colors.
fig.colorbar(surf, shrink=0.5, aspect=5)
plt.show()
# %%
#
# .. admonition:: References
#
# The use of the following functions, methods, classes and modules is shown
# in this example:
#
# - `matplotlib.pyplot.subplots`
# - `matplotlib.axis.Axis.set_major_formatter`
# - `matplotlib.axis.Axis.set_major_locator`
# - `matplotlib.ticker.LinearLocator`
# - `matplotlib.ticker.StrMethodFormatter`
#
# .. tags::
# plot-type: 3D,
# styling: colormap,
# level: advanced
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