Python | Pandas TimedeltaIndex.hasnans

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.hasnans attribute return a boolean value. It return True if the Timedeltaindex object contains any NaN values else it return False indicating there is no NaN values present in the object.

Syntax: TimedeltaIndex.hasnans Return : boolean

Example #1: Use TimedeltaIndex.hasnans attribute to check if there is any NaN value present in the given TimedeltaIndex object. Python3

# importing pandas as pd
import pandas as pd

# Create the TimedeltaIndex object
tidx = pd.TimedeltaIndex(data =['1 days 02:00:00', '1 days 06:05:01.000030', None])

# Print the TimedeltaIndex
print(tidx)

Output : Now we will check if there is any NaN value present in the given TimedeltaIndex object. Python3

# check for missing values
tidx.hasnans

Output : As we can see in the output, the TimedeltaIndex.hasnans attribute has returned True indicating there is NaN value present in the object.   Example #2: Use TimedeltaIndex.hasnans attribute to check if there is any NaN value present in the given TimedeltaIndex object. Python3

# importing pandas as pd
import pandas as pd

# Create the TimedeltaIndex object
tidx = pd.TimedeltaIndex(data =['-1 days 2 min 3us', '1 days 06:05:01.000030', 
                                                  '-1 days + 23:59:59.999999'])

# Print the TimedeltaIndex
print(tidx)

Output : Now we will check if there is any NaN value present in the given TimedeltaIndex object. Python3

# check for missing values
tidx.hasnans

Output : As we can see in the output, the TimedeltaIndex.hasnans attribute has returned False indicating there is no NaN value present in the object.