Data visualization using pyplot 4

Example : 4 Line Plot

from matplotlib import pyplot as plt
from matplotlib import style

style.use('ggplot')

x = [5,8,10]
y = [12,16,6]

x2 = [6,9,11]
y2 = [6,15,7]

plt.plot(x,y,'g',label='line one', linewidth=5)
plt.plot(x2,y2,'c',label='line two',linewidth=5)

plt.title('Example Line Plot')
plt.ylabel('Y axis')
plt.xlabel('X axis')

plt.legend()

plt.grid(True,color='r')

plt.show()

Example : 5 Line Plot

# importing matplotlib module  
from matplotlib import pyplot as plt 
  
# x-axis values 
x = [5, 2, 9, 4, 7] 
  
# Y-axis values 
y = [10, 5, 8, 4, 2] 
  
# Function to plot 
plt.plot(x,y,'b',label='Line 1',linewidth=5) 

#giving title, x axis, y axis
plt.title('Example Line Plot')
plt.ylabel('Y axis')
plt.xlabel('X axis')

plt.legend()


plt.grid(True,color='r')

# function to show the plot 
plt.show() 

Example : 6 Line Plot

from matplotlib import pyplot as plt
import numpy as np
x = np.arange(1,11)
y = np.random.random(10)
print(x)
print(y)
plt.plot(x,y)
plt.show()

Output:

[ 1 2 3 4 5 6 7 8 9 10]
[0.75769183 0.15878421 0.61943324 0.31750067 0.9580151 0.17189032
0.65672839 0.18876268 0.26326319 0.22721435]
>>>

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