Python Pandas Series.argmax()

The argmax() method in Pandas series returns the index location of the maximum value in the series. It helps in identifying the position of the maximum value in the series.

Syntax

Series.argmax(axis=None, skipna=True, *args, **kwargs)

Parameters

• axis: The axis along which to operate. If None, the method will find the index of the maximum over all dimensions. The default is None.
• skipna: Determines whether to exclude missing values (True) or also treat them as maxima (False). The default is True.

Returns

argmax() method returns the index location of the maximum value in the series.

Example

import pandas as pd

# Create a sample Pandas series
data = {'a': 10, 'b': 20, 'c': 30, 'd': 40, 'e': 50}
s = pd.Series(data)

# Print the original series
print("Original Series:\n{}".format(s))

# Find the index location of the maximum value in the series
print("\nIndex location of the maximum value: {}".format(s.argmax()))

Output

Original Series:
a    10
b    20
c    30
d    40
e    50
dtype: int64

Index location of the maximum value: 4

In the above example, argmax() method returns the index location of the maximum value in the series. The maximum value in the series is 50, which is located at index position 4.

Conclusion

argmax() method in Pandas series is a powerful method to find the index location of the maximum value in the series. It is a handy method when dealing with large data sets or when we want to find specific information in the data set.