In [ ]:

    




    

In [15]:

    

#! /usr/bin/python3
import sys
import numpy as np
import pandas as pd


    

In [34]:

    

df = pd.read_csv('dados.csv', index_col=None, parse_dates=['Timestamp'])
del(df['Unnamed: 0'])
df.set_index('Timestamp', inplace=True)
df = df[['AirTC', 'RH', 'Rain_mm']]


    

In [89]:

    

#mostra na coluna da chuva, onde n ha valores
print(df.Rain_mm[np.isnan(df.Rain_mm)])


    

    




Timestamp
2011-12-13 09:10:00   NaN
2011-12-13 09:10:10   NaN
2011-12-13 09:10:20   NaN
2011-12-13 09:10:30   NaN
2011-12-13 09:10:40   NaN
2011-12-13 09:10:50   NaN
2011-12-13 09:11:00   NaN
2011-12-13 09:11:10   NaN
2011-12-13 09:11:20   NaN
2011-12-13 09:11:30   NaN
2011-12-13 09:11:40   NaN
2011-12-13 09:11:50   NaN
2011-12-13 09:12:00   NaN
2011-12-13 09:12:10   NaN
2011-12-13 09:12:20   NaN
2011-12-13 09:12:30   NaN
2011-12-13 09:12:40   NaN
2011-12-13 09:12:50   NaN
2011-12-13 09:55:00   NaN
2011-12-13 09:55:10   NaN
2011-12-13 09:55:20   NaN
2011-12-13 09:55:30   NaN
2011-12-13 09:55:40   NaN
2011-12-13 09:55:50   NaN
Name: Rain_mm, dtype: float64

In [146]:

    

#df.Rain_mm.index[0]
print("Existem %d NaN's" % (len( df.Rain_mm[np.isnan(df.Rain_mm)])) )


    

    




Existem 24 NaN's

In [149]:

    

# dados.csv          = 259876 linhas
# df.Rain_mm.count() = 259851 

#x=float('nan')
#np.isnan(x)
cnan = 0 #contador para marcar sequencias de nans
i=-1
j=1
for valor in df.Rain_mm:
    i = i + 1
    if np.isnan(valor):
        #print("NaN em: %s %s" % (df.Rain_mm.index[i], valor))
        if (i - j) == 1 :
            j = i            
            print(df.Rain_mm.index[i], cnan)
            
        else:
            j = i
            cnan += 1
            print(df.Rain_mm.index[i],cnan)


    

    




2011-12-13 09:10:00 1
2011-12-13 09:10:10 1
2011-12-13 09:10:20 1
2011-12-13 09:10:30 1
2011-12-13 09:10:40 1
2011-12-13 09:10:50 1
2011-12-13 09:11:00 1
2011-12-13 09:11:10 1
2011-12-13 09:11:20 1
2011-12-13 09:11:30 1
2011-12-13 09:11:40 1
2011-12-13 09:11:50 1
2011-12-13 09:12:00 1
2011-12-13 09:12:10 1
2011-12-13 09:12:20 1
2011-12-13 09:12:30 1
2011-12-13 09:12:40 1
2011-12-13 09:12:50 1
2011-12-13 09:55:00 2
2011-12-13 09:55:10 2
2011-12-13 09:55:20 2
2011-12-13 09:55:30 2
2011-12-13 09:55:40 2
2011-12-13 09:55:50 2

In [118]:

    




    

    
Out[118]:





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