In [2]:

    

import pandas as pd


    

In [3]:

    

df = pd.DataFrame({'1stcolumn':[100,200], '2ndcolumn':[10,20]}) # this just creates a DataFrame for the example!
print('With the old column names:\n') # the \n makes a new line, so it's easier to see
print(df)


    

    




With the old column names:

   1stcolumn  2ndcolumn
0        100         10
1        200         20

In [4]:

    

df.columns = ['FirstColumn','SecondColumn'] # rename the columns!
print('\n\nWith the new column names:\n')
print(df)


    

    





With the new column names:

   FirstColumn  SecondColumn
0          100            10
1          200            20

In [5]:

    

import matplotlib.pyplot as plt
%matplotlib inline


    

In [6]:

    

list_numbers = [1.5, 4, 2.2, 5.7]
plt.plot(list_numbers)
plt.show()


    

In [7]:

    

plt.plot([6.8, 4.3, 3.2, 8.1], list_numbers)
plt.show()


    

In [8]:

    

plt.plot([6.8, 4.3, 3.2, 8.1], list_numbers, 'ro-.')
    plt.axis([0,10,0,6])
    plt.show()


    

In [9]:

    

import numpy as np

    # create a numpy array between 0 and 10, with values evenly spaced every 0.5
    t = np.arange(0., 10., 0.5)

    # red dashes with no symbols, blue squares with a solid line, and green triangles with a dotted line
    plt.plot(t, t, 'r--', t, t**2, 'bs-', t, t**3, 'g^:')

    plt.xlabel('This is the x axis')
    plt.ylabel('This is the y axis')
    plt.title('This is the figure title')

    plt.show()


    

In [10]:

    

# red dashes with no symbols, blue squares with a solid line, and green triangles with a dotted line
    plt.plot(t, t, 'r--', label='linear')
    plt.plot(t, t**2, 'bs-', label='square')
    plt.plot(t, t**3, 'g^:', label='cubic')

    plt.legend(loc='upper left', shadow=True, fontsize='x-large')

    plt.xlabel('This is the x axis')
    plt.ylabel('This is the y axis')
    plt.title('This is the figure title')

    plt.show()


    

In [11]:

    

# this is the first figure
    plt.figure(1)
    plt.plot(t, t, 'r--', label='linear')

    plt.legend(loc='upper left', shadow=True, fontsize='x-large')
    plt.title('This is figure 1')

    plt.show()

    # this is a second figure
    plt.figure(2)
    plt.plot(t, t**2, 'bs-', label='square')

    plt.legend(loc='upper left', shadow=True, fontsize='x-large')
    plt.title('This is figure 2')

    plt.show()


    

In [12]:

    

plt.figure(1)

    plt.subplot(2,2,1) # two row, two columns, position 1
    plt.plot(t, t, 'r--', label='linear')

    plt.subplot(2,2,2) # two row, two columns, position 2
    plt.plot(t, t**2, 'bs-', label='square')

    plt.subplot(2,2,3) # two row, two columns, position 3
    plt.plot(t, t**3, 'g^:', label='cubic')

    plt.show()


    

In [ ]: