plotting using matplotlib code example

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: matplotlib plot

import matplotlib.pyplot as plt
fig = plt.figure(1)	#identifies the figure 
plt.title("Y vs X", fontsize='16')	#title
plt.plot([1, 2, 3, 4], [6,2,8,4])	#plot the points
plt.xlabel("X",fontsize='13')	#adds a label in the x axis
plt.ylabel("Y",fontsize='13')	#adds a label in the y axis
plt.legend(('YvsX'),loc='best')	#creates a legend to identify the plot
plt.savefig('Y_X.png')	#saves the figure in the present directory
plt.grid()	#shows a grid under the plot
plt.show()

Example 3: how to plotting bar on matplotlib

import matplotlib.pyplot as plt 

data = [5., 25., 50., 20.]
plt.bar(range(len(data)),data)
plt.show()

// to set the thickness of a bar, we can set 'width'
// plt.bar(range(len(data)), data, width = 1.)

Example 4: plot using matplotlib

import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4])
plt.ylabel('some numbers')
plt.show()

Example 5: import matplotlib.pyplot as plt

from matplotlib import pyplot as plt

import matplotlib.pyplot as plt1

print(dir(plt) == dir(plt1))
True

Example 6: how do a plot on matplotlib python

import matplotlib.pyplot as plt
%matplotlib inline
plt.plot(data)
#this is not nessisary but makes your plot more readable
plt.ylabel('y axis means ...')
plt.xlabel('x axis means ...')