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.shape attribute return a tuple of the shape of the underlying data present in the object under consideration.
Syntax : TimedeltaIndex.shape
Return : shape
Example #1: Use TimedeltaIndex.shape attribute to find out the shape of the underlying data in the given 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) |
Output :
Now we will find out the shape of the given object.
# print the shape of the tidx object tidx.shape |
Output :
As we can see in the output, the TimedeltaIndex.shape attribute has returned the (5, ) which is the shape of the underlying data of the tidx object.
Example #2: Use TimedeltaIndex.shape attribute to find out the shape of the underlying data in the given 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) |
Output :
Now we will find out the shape of the given object.
# print the shape of the tidx object tidx.shape |
Output :
As we can see in the output, the TimedeltaIndex.shape attribute has returned the (3, ) which is the shape of the underlying data of the tidx object.
