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()
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()
import numpy as npimport matplotlib.pyplot as plt# Create dataN = 60g1 = (0.6 + 0.6 * np.random.rand(N), np.random.rand(N))g2 = (0.4+0.3 * np.random.rand(N), 0.5*np.random.rand(N))g3 = (0.3*np.random.rand(N),0.3*np.random.rand(N))data = (g1, g2, g3)colors = ("red", "green", "blue")groups = ("coffee", "tea", "water")# Create plotfig = plt.figure()ax = fig.add_subplot(1, 1, 1, axisbg="1.0")for data, color, group in zip(data, colors, groups):x, y = dataax.scatter(x, y, alpha=0.8, c=color, edgecolors='none', s=30, label=group)plt.title('Matplot scatter plot')plt.legend(loc=2)plt.show()