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()how to plotting points on matplotlib
import matplotlib.pyplot as plt
import numpy as np
data = np.random.rand(1024,2)
plt.scatter(data[:,0],data[:,1])
plt.show()
// Don't be
// fooled by this simplicity— plt.scatter() is a rich command.python matplotlib how to graph point on line
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_xlim(0,10)
ax.set_ylim(0,10)
# draw lines
xmin = 1
xmax = 9
y = 5
height = 1
plt.hlines(y, xmin, xmax)
plt.vlines(xmin, y - height / 2., y + height / 2.)
plt.vlines(xmax, y - height / 2., y + height / 2.)
average = (xmax+xmin)/2
# draw a point on the line
px = 5
plt.plot(px,y, 'ro', ms = 15, mfc = 'r')
# add an arrow
plt.annotate('Point', (px,y), xytext = (px+0.35, y+0.5),
horizontalalignment='right')
# add numbers
plt.text(xmin - 0.1, y, 'Left', horizontalalignment='right')
plt.text(xmax + 0.1, y, 'Right', horizontalalignment='left')
plt.axis('off')
plt.show()Copyright © 2021 Codeinu
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