Get the index of maximum value in DataFrame column

Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). 
Let’s see how can we get the index of maximum value in DataFrame column.
Observe this dataset first. We’ll use ‘Weight’ and ‘Salary’ columns of this data in order to get the index of maximum values from a particular column in Pandas DataFrame.

Python3

# importing pandas module
import pandas as pd

# making data frame
df = pd.read_csv("https://media.geeksforgeeks.org/wp-content/uploads/nba.csv")

df.head(10)

Code #1: Check the index at which maximum weight value is present. 

Python3

# importing pandas module
import pandas as pd

# making data frame
df = pd.read_csv("nba.csv")

# Returns index of maximum weight
df[['Weight']].idxmax()

Output:

We can verify whether the maximum value is present in index or not. 

Python3

# importing pandas module
import pandas as pd

# making data frame
df = pd.read_csv("nba.csv")

# from index 400 to 409
df.iloc[400:410]

Output:

Code #2: Let’s insert a new row at index 0, having maximum salary and then verify. 

Python3

# importing pandas module
import pandas as pd

# making data frame
df = pd.read_csv("nba.csv")

new_row = pd.DataFrame({'Name':'Geeks', 'Team':'Boston', 'Number':3,
                        'Position':'PG', 'Age':33, 'Height':'6-2',
                        'Weight':189, 'College':'MIT', 'Salary':999999999}
                         , index=[0])

df = pd.concat([new_row, df]).reset_index(drop=True)
df.head(5)

Output:

Now, let’s check if the maximum salary is present at index 0 or not. 

Python3

# Returns index of minimum salary
df[['Salary']].idxmax()

Output: