PYTHON

Import matplotlib python

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

import pyplot python

import matplotlib.pyplot as plt

Use matplotlib in python

import matplotlib.pyplot as plt # Import the matplotlib module
from matplotlib import style # Optionally you dont need to use style
style.use('ggplot') # Just for style

x = [10, 20, 30, 40, 50] # Get points to plot on graph

plt.plot(x) # We want to plot x on our graph
plt.show()

python matplotlib

#install matplotlib
pip install matplotlib

python matplotlib

import matplotlib.pyplot as plt
import numpy as np

# Simple data to display in various forms
x = np.linspace(0, 2 * np.pi, 400)
y = np.sin(x ** 2)

fig, axarr = plt.subplots(2, 2)
fig.suptitle("This Main Title is Nicely Formatted", fontsize=16)

axarr[0, 0].plot(x, y)
axarr[0, 0].set_title('Axis [0,0] Subtitle')
axarr[0, 1].scatter(x, y)
axarr[0, 1].set_title('Axis [0,1] Subtitle')
axarr[1, 0].plot(x, y ** 2)
axarr[1, 0].set_title('Axis [1,0] Subtitle')
axarr[1, 1].scatter(x, y ** 2)
axarr[1, 1].set_title('Axis [1,1] Subtitle')

# Fine-tune figure;
# hide x ticks for top plots and y ticks for right plots

plt.setp([a.get_xticklabels() for a in axarr[0, :]], visible=False)
plt.setp([a.get_yticklabels() for a in axarr[:, 1]], visible=False)


# Tight layout often produces nice results
# but requires the title to be spaced accordingly

fig.tight_layout()
fig.subplots_adjust(top=0.88)

plt.show()

matplotlib

# importing matplotlib module
 from matplotlib import pyplot as plt
  
# Plotting to our canvas  
 plt.plot([1,2,3],[4,5,1])
  
# Showing what we plotted 
 plt.show()

how to import matplotlib in python

import matplotlib