In [1]:

    

import pandas as pd


    

In [2]:

    

import numpy as np


    

In [3]:

    

import matplotlib.pyplot as plt


    

In [4]:

    

marina_25_34 = open('marina_25_34.csv','r')
l_marina_25_34 = marina_25_34.readlines()
marina_25_34.close()


    

In [5]:

    

for i in xrange(len(l_marina_25_34)):
    l_marina_25_34[i] = l_marina_25_34[i].rstrip('\n').split(';')


    

In [6]:

    

data = []
for j in l_marina_25_34:
    data += [[float(j[1]),float(j[3])]]


    

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df = pd.DataFrame(data=data,columns=['% Total', '% 25 a 34 anos'])


    

In [8]:

    

df.plot(kind="scatter", x="% 25 a 34 anos", y="% Total")


    

    
Out[8]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f4dac06ce10>

In [9]:

    

plt.show()


    

    




/usr/lib/python2.7/dist-packages/matplotlib/collections.py:571: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
  if self._edgecolors == str('face'):

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