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.
# 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.
# 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.
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Example #2: Use TimedeltaIndex.hasnans attribute to check if there is any NaN value present in the given TimedeltaIndex object.
# 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.
# 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.
