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_level_values() function return an Index of values for requested level, equal to the length of the index.
Syntax : TimedeltaIndex.get_level_values(level)
Parameters :
level : level is either the integer position of the level in the MultiIndex, or the name of the level.Return : self, as there is only one level in the Index.
Example #1: Use TimedeltaIndex.get_level_values() function to find all the values present in the 0th level of the given TimedeltaIndex object.
# 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_level_values() function to find all the values in 0th level
# print values in 0th level tidx.get_level_values(0) |
Output :
As we can see in the output, the TimedeltaIndex.get_level_values() function has returned all the values present in the 0th level of tidx object. This object has only one level.
Example #2: Use MultiIndex.get_level_values() function to find all the values present in the 1st level of the given MultiIndex object.
# importing pandas as pd import pandas as pd # Create the MultiIndex object midx = pd.MultiIndex.from_arrays((['AB', 'BC', 'CD', 'DE'], ['EF', 'FG', 'GH', 'HI'])) # Print the MultiIndex object print(midx) |
Output :
Now we will use the MultiIndex.get_level_values() function to find all values in the 1st level
# print values in 1st level midx.get_level_values(1) |
Output :
As we can see in the output, the MultiIndex.get_level_values() function has returned all the values present in the 1st level of midx object.
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