Python | Pandas TimedeltaIndex.inferred_type

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.inferred_type attribute return an inferred type for the object on which it is applied.

Syntax: TimedeltaIndex.inferred_type

Return : inferred_type

Example #1: Use TimedeltaIndex.inferred_type attribute to infer the type of the TimedeltaIndex object.

# importing pandas as pd
import pandas as pd

# Create the TimedeltaIndex object
tidx = pd.TimedeltaIndex(data =['1 days 02:00:00',
                   '1 days 06:05:01.000030', None])

# Print the TimedeltaIndex
print(tidx)

Output :

Now we will guess the type of the given TimedeltaIndex object.

# return the inferred type of the tidx object
tidx.inferred_type

Output :

As we can see in the output, the TimedeltaIndex.inferred_type attribute has returned ‘timedelta64’ type for tidx object.

Example #2: Use TimedeltaIndex.inferred_type attribute to infer the type of the TimedeltaIndex object.

# importing pandas as pd
import pandas as pd

# Create the TimedeltaIndex object
tidx = pd.TimedeltaIndex(data =['-1 days 2 min 3us', '1 days 06:05:01.000030',
                                                  '-1 days + 23:59:59.999999'])

# Print the TimedeltaIndex
print(tidx)

Output :

Now we will guess the type of the given TimedeltaIndex object.

# return the inferred type of the tidx object
tidx.inferred_type

Output :

As we can see in the output, the TimedeltaIndex.inferred_type attribute has returned ‘timedelta64’ type for tidx object.