Example 1: how to plot a graph using matplotlib
from matplotlib import pyplot as plt
plt.plot([0, 1, 2, 3, 4, 5], [0, 1, 4, 9, 16, 25])
plt.show()
Example 2: how to plot a scatter plot in matplotlib
import matplotlib.pyplot as plt
%matplotlib inline
plt.figure(figsize=(10,6))
plt.scatter(x, y, label = "label_name" )
plt.xlabel('X Values')
plt.ylabel('Y Values')
plt.title('Scatter Title')
plt.legend()
plt.show()
Example 3: matplotlib line plot
from matplotlib import pyplot as plt
dev_x = [25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]
dev_y = [38496, 42000, 46752, 49320, 53200,
56000, 62316, 64928, 67317, 68748, 73752]
plt.plot(dev_x, dev_y)
plt.xlabel('Ages')
plt.ylabel('Median Salary (USD)')
plt.title('Median Salary (USD) by Age')
plt.show()
Example 4: python plot
import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4], [1, 4, 9, 16])
plt.show()
Example 5: 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.
Example 6: how do a plot on matplotlib python
import matplotlib.pyplot as plt
%matplotlib inline
plt.plot(data)
plt.ylabel('y axis means ...')
plt.xlabel('x axis means ...')