python matplotlib
#install matplotlib
pip install matplotlibmatplotlib python
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator
import numpy as np
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()Use matplotlib in python
import matplotlib.pyplot as plt # Import the matplotlib module
from matplotlib import style # Optionally you dont need to use style
style.use('ggplot') # Just for style
x = [10, 20, 30, 40, 50] # Get points to plot on graph
plt.plot(x) # We want to plot x on our graph
plt.show()figure in matplotlib
pyplot.figure(num=None, figsize=None, dpi=None, facecolor=None,
edgecolor=None, frameon=True, FigureClass=<class 'matplotlib.figure.Figure'>,
clear=False, **kwargs)Copyright © 2021 Codeinu
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