3.2. A Wiframe plot¶

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm

# Create a 3D array
# meshgrid produces all combinations of given x and y
x=np.linspace(-3,3,256) # x goes from -3 to 3, with 256 steps
y=np.linspace(-3,3,256) # y goes from -3 to 3, with 256 steps
X,Y=np.meshgrid(x,y) # combine all x with all y

# A function of x and y for demo purposes
Z=np.sinc(np.sqrt(X**2 + Y**2))

fig=plt.figure(figsize=(5,5))
ax=fig.gca(projection='3d')

# rstride: Array row stride (step size), defaults to 1
# cstride: Array column stride (step size), defaults to 1
# rcount: Use at most this many rows, defaults to 50
# ccount: Use at most this many columns, defaults to 50

ax.plot_wireframe(X,Y,Z,color='k',rcount=25,ccount=25)

plt.show()

/tmp/ipykernel_33136/3390824246.py:16: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().
  ax=fig.gca(projection='3d')

Example Jupyter Book

A Wiframe plot

3.2. A Wiframe plot¶