/ Python And R Data science skills: 69 MatPlot Lib part01
Showing posts with label 69 MatPlot Lib part01. Show all posts
Showing posts with label 69 MatPlot Lib part01. Show all posts

Friday, 16 February 2018

69 MatPlot Lib part01

https://vlrtraining.com/courses/python-data-science-beginner-tutorial 69 MatPlot Lib part01

import matplotlib.pyplot as plt

import matplotlib.pyplot as plt

In [19]:
import matplotlib.pyplot as plt
In [20]:
import numpy as np
In [32]:
x=np.linspace(1,6,10             )
In [36]:
%matplotlib inline
In [38]:
x
Out[38]:
array([ 1.        ,  1.55555556,  2.11111111,  2.66666667,  3.22222222,
        3.77777778,  4.33333333,  4.88888889,  5.44444444,  6.        ])
In [39]:
y
Out[39]:
array([  1.        ,   2.41975309,   4.45679012,   7.11111111,
        10.38271605,  14.27160494,  18.77777778,  23.90123457,
        29.64197531,  36.        ])
In [41]:
plt.plot(x,y,"r")
Out[41]:
[<matplotlib.lines.Line2D at 0xa510b00>]
In [43]:
plt.plot(x, y, 'G')
Out[43]:
[<matplotlib.lines.Line2D at 0xa5c1b00>]
In [4]:
%matplotlib inline
In [45]:
plt.xlabel('X Axis Title Here')
plt.ylabel('Y Axis Title Here')
plt.title('String Title Here')
Out[45]:
Text(0.5,1,'String Title Here')
In [44]:
plt.xlabel(" my marks")
Out[44]:
Text(0.5,0,' my marks')
In [ ]:
pl