In [2]:

    

# Imports, leave this

import numpy as np
import scipy
import csv
import pandas as pd
import glob
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import matplotlib
%matplotlib inline


    

In [9]:

    

# Specify path to the CSV file containing HR data

df_hrs = pd.read_csv('/Users/joostplattel/1Inbox/vpro/vpro-data/data/hr.csv', delimiter=';')
df_hrs = pd.DataFrame(df_hrs)


    

In [10]:

    

# plot graph tim
df_tim = df_hrs[(df_hrs['name'] == "tim")]
df_tim = df_tim['rate']
df_tim.plot() # Plot it


    

    
Out[10]:





<matplotlib.axes._subplots.AxesSubplot at 0x10e4742b0>






    

In [7]:

    

# plot graph nicolaas 
df_nic = df_hrs[(df_hrs['name'] == "nicolaas")]
df_nic = df_nic['rate']
df_nic.plot()


    

    
Out[7]:





<matplotlib.axes._subplots.AxesSubplot at 0x112e38d30>






    

In [17]:

    

# distibutie tim
df_tim.hist(bins=50)


    

    
Out[17]:





<matplotlib.axes._subplots.AxesSubplot at 0x11164d5c0>






    

In [16]:

    

# distibutie nicolaas
df_nic.hist(bins=50)


    

    
Out[16]:





<matplotlib.axes._subplots.AxesSubplot at 0x11419c978>