Python 3 Basics # 6.2 | Implement Matplotlib with Numpy | Python for Beginners
Python 3 Basics # 6.2 | Implement Matplotlib with Numpy | Python for Beginners
Matplotlib with Numpy
a. Scatterplot and it various options to be explored
b. Barplot
Code Starts Here
==============
import matplotlib.pyplot as plt
import numpy as np
y = m*x + c
m = 3
c = 4
x = np.linspace(1,20)
y = m* x + c
1
plt.title('Visualisation demonstation of matplotlib with Numpy')
plt.xlabel('X axis')
plt.ylabel('Y axis')
plt.plot(x,y)
plt.show()
2
plt.title('Visualisation demonstation of matplotlib with Numpy')
plt.xlabel('X axis')
plt.ylabel('Y axis')
plt.plot(x,y,'--')
plt.show()
3
plt.title('Visualisation demonstation of matplotlib with Numpy')
plt.xlabel('X axis')
plt.ylabel('Y axis')
plt.plot(x,y,'.-')
plt.show()
4
plt.title('Visualisation demonstation of matplotlib with Numpy')
plt.xlabel('X axis')
plt.ylabel('Y axis')
plt.plot(x,y,'.',color='r')
plt.show()
opt = ['-','--','.','.-','|','^','p','D','1','2','s']
color1 = ['r','g','y','b','r','g','y','b','r','g','y']
for i in range(len(opt)):
m = 3
c = 4
x = np.linspace(1,20)
y = m* x + c
plt.title('Visualisation demonstation of matplotlib with Numpy')
plt.xlabel('X axis')
plt.ylabel('Y axis')
plt.plot(x,y,opt[i],color=color1[i])
plt.show()
x = [10,12,14]
y = [6,12,15]
x1 = [11,13,15]
y1 = [8,9,18]
plt.bar(x,y,align='center')
plt.bar(x1,y1,align='center')
plt.title('Bar Graph Demo')
plt.xlabel('X axis')
plt.ylabel('Y axis')
plt.show()
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