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.nunique() function return number of unique elements in the object. It excludes NA values by default.
Syntax : TimedeltaIndex.nunique()
Parameters :
dropna : Don’t include NaN in the countReturn : nunique : int
Example #1: Use TimedeltaIndex.nunique() function to find the number of unique values in the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =['06:05:01.000030', None, '22 day 2 min 3us 10ns', '+23:59:59.999999', None, '+12:19:59.999999']) # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.nunique() function to find the number of unique values in the tidx object.
# find the number of unique values # in the tidx object. tidx.nunique() |
Output :
As we can see in the output, the TimedeltaIndex.nunique() function has returned the total number of unique values in the tidx object.
Example #2: Use TimedeltaIndex.nunique() function to find the number of unique values in the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data =[None, '1 days 06:05:01.000030', None, '1 days 02:00:00', '21 days 06:15:01.000030']) # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.nunique() function to find the number of unique values in the tidx object.
# find the number of unique values # in the tidx object. tidx.nunique() |
Output :
As we can see in the output, the TimedeltaIndex.nunique() function has returned the total number of unique values in the tidx object.
