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.ndim attribute return the number of dimensions of the underlying data, by definition it is 1.
Syntax : TimedeltaIndex.ndim
Return : dimension of the object
Example #1: Use TimedeltaIndex.ndim attribute to find out the dimension of the given TimedeltaIndex object.
# 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)
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Output :
Now we will find the dimension of the tidx object.
# return the dimension of the tidx object tidx.ndim |
Output :
As we can see in the output, the TimedeltaIndex.ndim attribute has returned 1 indicating that the dimension of tidx object is 1. By definition the dimension of the TimedeltaIndex object is 1.
Example #2: Use TimedeltaIndex.ndim attribute to find out the dimension of the given TimedeltaIndex object.
# 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)
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Output :
Now we will find the dimension of the tidx object.
# return the dimension of the tidx object tidx.ndim |
Output :
As we can see in the output, the TimedeltaIndex.ndim attribute has returned 1 indicating that the dimension of tidx object is 1. By definition the dimension of the TimedeltaIndex object is 1.