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.fillna() function fill all the missing values in the given TimedeltaIndex object with the specified value.
Syntax : TimedeltaIndex.fillna(value=None, downcast=None)
Parameters :
value : Scalar value to use to fill holes (e.g. 0). This value cannot be a list-likes.
downcast : a dict of item->dtype of what to downcast if possible, or the string ‘infer’ which will try to downcast to an appropriate equal type (e.g. float64 to int64 if possible)Return : filled : %(klass)s
Example #1: Use TimedeltaIndex.fillna() function to fill all the missing values n the given TimedeltaIndex objects.
# 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) |
Output :
Now we will use the TimedeltaIndex.fillna() function to fill all the missing values in tidx object.
# fill the missing values tidx.fillna('10 days') |
Output :
As we can see in the output, the TimedeltaIndex.fillna() function has filled all the missing values with the specified value in the tidx object.
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Example #2: Use TimedeltaIndex.fillna() function to fill all the missing values n the given TimedeltaIndex objects.
# 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) |
Output :
Now we will use the TimedeltaIndex.fillna() function to fill all the missing values in tidx object.
# fill the missing values tidx.fillna('2 days 10:50') |
Output :
As we can see in the output, the TimedeltaIndex.fillna() function has filled all the missing values with the specified value in the tidx object.
