Python | Pandas TimedeltaIndex.isnull

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas TimedeltaIndex.isnull() function detect all the missing values from the given TimedeltaIndex object. The function is similar to TimedeltaIndex.isna().

Syntax : TimedeltaIndex.isnull()

Parameters : None

Return : a boolean array of whether the values are NA



Example #1: Use TimedeltaIndex.isnull() function to detect all the missing values from the given TimedeltaIndex object.

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# importing pandas as pd
import pandas as pd
  
# Create the TimedeltaIndex object
tidx = pd.TimedeltaIndex(data =['06:05:01.000030', None, '22 day 2 min 3us 10ns'
                                  '+23:59:59.999999', None, '+12:19:59.999999'])
  
# Print the TimedeltaIndex object
print(tidx)

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Output :

Now we will use the TimedeltaIndex.isnull() function to detect all the missing values from the tidx object.

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# detect all missing values
tidx.isnull()

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Output :

As we can see in the output, the TimedeltaIndex.isnull() function has returned an array object which contains True value corresponding to the missing values.
 
Example #2: Use TimedeltaIndex.isnull() function to detect all the missing values from the given TimedeltaIndex object.

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# importing pandas as pd
import pandas as pd
  
# Create the TimedeltaIndex object
tidx = pd.TimedeltaIndex(data =[None, '1 days 06:05:01.000030', None,
                       '1 days 02:00:00', '21 days 06:15:01.000030'])
  
# Print the TimedeltaIndex object
print(tidx)

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Output :

Now we will use the TimedeltaIndex.isnull() function to detect all the missing values from the tidx object.

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# find all missing values
tidx.isnull()

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Output :

As we can see in the output, the TimedeltaIndex.isnull() function has returned an array object which contains True value corresponding to the missing values.

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