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.get_values() function return the underlying data as an ndarray of the given TimedeltaIndex object.
Syntax : TimedeltaIndex.get_values()
Parameters : None
Return : ndarray
Example #1: Use TimedeltaIndex.get_values() function to return the underlying data of the given TimedeltaIndex object as an ndarray.
# importing pandas as pd import pandas as pd   # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['3 days 06:05:01.000030', '1 days 06:05:01.000030',                                 '3 days 06:05:01.000030', '1 days 02:00:00',                                                  '21 days 06:15:01.000030'])   # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.get_values() function to return the data of tidx as an ndarray
# return data as an ndarray tidx.get_values() |
Output :
As we can see in the output, the TimedeltaIndex.get_values() function has returned the data of the tidx object as an ndarray.
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Example #2: Use TimedeltaIndex.get_values() function to return the underlying data of the given TimedeltaIndex object as an ndarray.
# importing pandas as pd import pandas as pd   # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['06:05:01.000030', '3 days 06:05:01.000030',                                 '22 day 2 min 3us 10ns', '+23:59:59.999999',                              '13 days 06:05:01.000030', '+12:19:59.999999'])   # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.get_values() function to return the data of tidx as an ndarray
# return data as an ndarray tidx.get_values() |
Output :
As we can see in the output, the TimedeltaIndex.get_values() function has returned the data of the tidx object as an ndarray.
