# Python - Calculate the maximum of column values of a Pandas DataFrame

To get the maximum of column values, use the max() function. At first, import the required Pandas library −

import pandas as pd

Now, create a DataFrame with two columns −

dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Tesla', 'Bentley', 'Jaguar'],"Units": [100, 150, 110, 80, 110, 90] }
)

Finding the maximum value of a single column “Units” using max() −

print"Maximum Units from DataFrame1 = ",dataFrame1['Units'].max()

In the same way, we have calculated the maximum value from the 2nd DataFrame.

## Example

Following is the complete code −

import pandas as pd

# Create DataFrame1
dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Tesla', 'Bentley', 'Jaguar'],"Units": [100, 150, 110, 80, 110, 90] }
)

print"DataFrame1 ...\n",dataFrame1

# Finding maximum value of a single column "Units"
print"Maximum Units from DataFrame1 = ",dataFrame1['Units'].max()

# Create DataFrame2
dataFrame2 = pd.DataFrame(
{
"Product": ['TV', 'PenDrive', 'HeadPhone', 'EarPhone', 'HDD', 'SSD'],"Price": [8000, 500, 3000, 1500, 3000, 4000]
}
)

print"\nDataFrame2 ...\n",dataFrame2

# Finding maximum value of a single column "Price"
print"Maximum Price from DataFrame2 = ",dataFrame2['Price'].max()

## Output

This will produce the following output −

DataFrame1 ...
Car   Units
0      BMW     100
1    Lexus     150
2     Audi     110
3    Tesla      80
4  Bentley     110
5   Jaguar      90
Maximum Units from DataFrame1 = 150

DataFrame2 ...
Price   Product
0   8000        TV
1    500  PenDrive
3   1500  EarPhone
4   3000       HDD
5   4000       SSD
Maximum Price from DataFrame2 = 8000

Updated on: 20-Sep-2021

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