Python | Pandas TimedeltaIndex.argmax

TimedeltaIndex.argmax() Pandas TimedeltaIndex.argmax() returns the indices of the maximum values ​​along the axis in the object TimedeltaIndex. The function is similar to numpy.ndarray.argmax .

Syntax: TimedeltaIndex.argmax (axis = None, * args, ** kwargs)

Parameters:
axis: None

Return: integer index value

Example # 1: Use TimedeltaIndex.argmax () to find the indexes of the maximum value in a given TimedeltaIndex.

# import pandas as pd import pandas as pd   # Create first TimedeltaIndex tidx = pd.TimedeltaIndex (start = ’1 days 02: 00: 12.0 01124’ ,  periods = 5 , freq = ’N’ , name = ’Koala’ )    # Print the TimedeltaIndex object print (tidx)

Output:

We will now print the index of the maximum value in the tidx object.

# return the maximum index th value. tidx.argmax ()

Output:

As we can see in the output, TimedeltaIndex.argmax () has 4, indicating that the maximum value in the tidx object is present at the 4th index.

Example # 2 : Use TimedeltaIndex.argmax () to find the indexes of the maximum value in a given TimedeltaIndex.

# import pandas as pd import pandas as pd   # Create TimedeltaIndex object tidx = pd.TimedeltaI ndex (data = [ ’-1 days 2 min 3us 10ns’ ,  ’1 days 06: 05: 01.000030’ , ’ -1 days + 23: 59: 59.999999’ ])   # Print the TimedeltaIndex object print (tidx)

Output:

We will now print the index of the maximum value in the tidx object.

# return index m maximum value. tidx.argmax ()

Output:

As we can see in the output, TimedeltaIndex.argmax () has 1, which indicates that the maximum value in the tidx object is in the first index.