Mauna Loa CO2 form all over the book

In [2]:

    

import matplotlib.pyplot as plt
import numpy as np
from scipy import stats
import seaborn as sns
import pandas as pd

%matplotlib inline
sns.set(font_scale=1.5)


    

In [14]:

    

data = pd.read_csv('https://raw.githubusercontent.com/PacktPublishing/Bayesian-Analysis-with-Python/master/Chapter%201/mauna_loa_CO2%20(1).csv', 
                  header=None, 
                   index_col=0, names = ['CO2'])
data.head()


    

    
Out[14]:







  

    

      

      
CO2
    
  
  

    

      
1959.000
      
315.42
    
    

      
1959.083
      
316.31
    
    

      
1959.167
      
316.50
    
    

      
1959.250
      
317.56
    
    

      
1959.333
      
318.13
    
  

In [18]:

    

data.plot(legend=False, figsize=(8,5))
plt.ylabel('CO$_2$ [ppmv]' )
plt.tight_layout()


    

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In [6]:

    

pd.read_csv?


    

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