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.values
attribute return the underlying data for the given TimedeltaIndex object as an ndarray.
Syntax : TimedeltaIndex.values
Return : ndarray
Example #1: Use TimedeltaIndex.values
attribute to return the value of the given TimedeltaIndex object as an ndarray.
# importing pandas as pd import pandas as pd
# Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(start = '1 days 02:00:12.001124' , periods = 5 ,
freq = 'N' , name = 'Koala' )
# Print the TimedeltaIndex print (tidx)
|
Output :
Now we will print the data of the given tidx object as an ndarray.
# return the data of tidx as an ndarray tidx.values |
Output :
As we can see in the output, the TimedeltaIndex.values
attribute has returned the data of the tidx as an ndarray.
Example #2: Use TimedeltaIndex.values
attribute to return the value of the given TimedeltaIndex object as an ndarray.
# importing pandas as pd import pandas as pd
# Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data = [ '-1 days 2 min 3us 10ns' , '1 days 06:05:01.000030' ,
'-1 days + 23:59:59.999999' ])
# Print the TimedeltaIndex print (tidx)
|
Output :
Now we will print the data of the given tidx object as an ndarray.
# return the data of tidx as an ndarray tidx.values |
Output :
As we can see in the output, the TimedeltaIndex.values
attribute has returned the data of the tidx as an ndarray.