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.components attribute return a dataframe of the components (days, hours, minutes, seconds, milliseconds, microseconds, nanoseconds) of the Timedeltas.
Syntax: TimedeltaIndex.components
Return : a DataFrame
Example #1: Use TimedeltaIndex.components attribute to return a dataframe of the components of the Timedeltas.
# 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'])   # Print the TimedeltaIndex print(tidx) |
Output :
Now we want to return a dataframe of the components of the tidx object.
# return a dataframe constructed from # the components of the Timedelta tidx.components |
Output :
As we can see in the output, the TimedeltaIndex.components attribute has returned a dataframe constructed from the components of the Timedelta
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Example #2: Use TimedeltaIndex.components attribute to return a dataframe of the components of the Timedeltas.
# 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 want to return a dataframe of the components of the tidx object.
# return a dataframe constructed from # the components of the Timedelta tidx.components |
Output :
As we can see in the output, the TimedeltaIndex.components attribute has returned a dataframe constructed from the components of the Timedelta
