how to plot a scatter plot in matplotlib
# Import matplotlib
import matplotlib.pyplot as plt
# Set plot space as inline for inline plots and qt for external plots
%matplotlib inline
# Set the figure size in inches
plt.figure(figsize=(10,6))
plt.scatter(x, y, label = "label_name" )
# Set x and y axes labels
plt.xlabel('X Values')
plt.ylabel('Y Values')
plt.title('Scatter Title')
plt.legend()
plt.show()plot 3d points in python
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x =[1,2,3,4,5,6,7,8,9,10]
y =[5,6,2,3,13,4,1,2,4,8]
z =[2,3,3,3,5,7,9,11,9,10]
ax.scatter(x, y, z, c='r', marker='o')
ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')
plt.show()matplotlib scatter plot python
import numpy as np
np.random.seed(19680801)
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
for color in ['tab:blue', 'tab:orange', 'tab:green']:
n = 750
x, y = np.random.rand(2, n)
scale = 200.0 * np.random.rand(n)
ax.scatter(x, y, c=color, s=scale, label=color,
alpha=0.3, edgecolors='none')
ax.legend()
ax.grid(True)
plt.show()Copyright © 2021 Codeinu
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