In [1]:

    

import pandas as pd


    

In [2]:

    

df = pd.read_csv('data/HumidityAirViz.txt')


    

In [4]:

    

%matplotlib inline


    

In [5]:

    

import matplotlib.pyplot as plt


    

In [6]:

    

df.head()


    

    
Out[6]:






  

    

      

      
HumidityAirViz
      
Time
      
Celsius(C)
      
Humidity(%rh)
      
Dew Point(C)
    
  
  

    

      
0
      
1
      
2016-02-25 02:12:58
      
26.0
      
31.5
      
7.8
    
    

      
1
      
2
      
2016-02-25 02:13:08
      
26.0
      
31.5
      
7.8
    
    

      
2
      
3
      
2016-02-25 02:13:18
      
25.5
      
31.5
      
7.4
    
    

      
3
      
4
      
2016-02-25 02:13:28
      
25.5
      
39.5
      
10.7
    
    

      
4
      
5
      
2016-02-25 02:13:38
      
25.5
      
41.0
      
11.3
    
  

In [21]:

    

plt.figure(figsize=(12,12))
plt.subplot(221)
plt.plot(df['Humidity(%rh)'])
plt.title('Humidity')
plt.subplot(222)
plt.plot(df['Celsius(C)'])
plt.title('Temp')
plt.subplot(223)
plt.plot(df['Dew Point(C)'])
plt.title('Dew point')


    

    
Out[21]:





<matplotlib.text.Text at 0x10a18d590>






    

In [ ]: