Example 1: import matplotlib.pyplot as plt
from matplotlib import pyplot as plt
import matplotlib.pyplot as plt
Example 2: import matplotlib plt
import matplotlib.pyplot as plt
Example 3: 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 4: matplotlib line plot
from matplotlib import pyplot as plt
# Median Developer Salaries by Age
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()
#Basic line graph using python module matplotlib
Example 5: how to import matplotlib.pyplo in python
import matplotlib.pylot as plt
Example 6: plot in python
import numpy as np
import matplotlib.pyplot as plt
fig = plt.figure()
ax1 = fig.add_axes((0.1,0.4,0.5,0.5))
ax1.set_title('Title of Plot')
ax1.set_xlabel('X')
ax1.set_ylabel('Y')
ax1.plot(X,Y,c='black',linestyle='--',linewidth=0.5)
ax1.scatter(X,Y,c='red',s=0.5)
ax1.legend(['Line','Scatter'])
ax1.xaxis.set_ticks([0.0,0.1,0.2,0.3])
ax1.yaxis.set_ticks([0.0,0.1,0.2,0.3])
ax1.grid(which='major')
ax1.tick_params(direction='in')
txt = 'Write something on the graph page\
\n over one or more lines.'
fig.text(0.5,0.05,txt,ha='center')
fig.savefig('Figure.pdf')