Line Plots

In [1]:

    

%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np


    

In [2]:

    

x = np.arange(-np.pi,np.pi,0.001)
plt.plot(x,np.sin(x))


    

    
Out[2]:





[<matplotlib.lines.Line2D at 0x7f6ae47d1810>]






    

In [3]:

    

x = np.arange(-np.pi,np.pi,0.001)
plt.plot(x,np.sin(x))
plt.title('y = sin(x)')


    

    
Out[3]:





<matplotlib.text.Text at 0x7f6ae46a5f90>






    

In [4]:

    

x = np.arange(-np.pi,np.pi,0.001)
plt.plot(x,np.sin(x))
plt.title(r'$y = \sin(x)$')


    

    
Out[4]:





<matplotlib.text.Text at 0x7f6ae45fe810>






    

In [5]:

    

x = np.arange(-np.pi,np.pi,0.001)
plt.plot(x,np.sin(x))
plt.title('y = sin(x)')
plt.xlabel('x (radians)')
plt.ylabel('y')


    

    
Out[5]:





<matplotlib.text.Text at 0x7f6ae43ab450>






    

In [6]:

    

x1 = np.linspace(0.0, 5.0)
x2 = np.linspace(0.0, 2.0)

y1 = np.cos(2 * np.pi * x1) * np.exp(-x1)
y2 = np.cos(2 * np.pi * x2)

plt.subplot(2, 1, 1)
plt.plot(x1, y1, 'o-')
plt.title('A tale of 2 subplots')
plt.ylabel('Damped oscillation')

plt.subplot(2, 1, 2)
plt.plot(x2, y2, '.-')
plt.xlabel('time (s)')
plt.ylabel('Undamped')


    

    
Out[6]:





<matplotlib.text.Text at 0x7f6ae428c3d0>






    

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