Python - Round number of places after the decimal for column values in a Pandas DataFrame

To round number of places after the decimal, use the display.precision attribute of the Pandas.

At first, import the required Pandas library −

import pandas as pd

Create a DataFrame with 2 columns −

dataFrame = pd.DataFrame(
   {
      "Car": ['BMW', 'Lexus', 'Tesla', 'Mustang', 'Mercedes', 'Jaguar'],
      "Reg_Price": [7000.5057, 1500, 5000.9578, 8000, 9000.75768, 6000]

   }
)

Use the set_option() method to set precision. We have set precision value 2 −

pd.set_option('display.precision', 2)

Example

Following is the complete code −

import pandas as pd

# Create DataFrame
dataFrame = pd.DataFrame(
   {
      "Car": ['BMW', 'Lexus', 'Tesla', 'Mustang', 'Mercedes', 'Jaguar'],
      "Reg_Price": [7000.5057, 1500, 5000.9578, 8000, 9000.75768, 6000]

   }
)

print"DataFrame ...\n",dataFrame

pd.set_option('display.precision', 2)
print"\nUpdated dataframe with rounding decimal values...\n", dataFrame

Output

This will produce the following output −

DataFrame ...
        Car    Reg_Price
0       BMW  7000.50570
1     Lexus  1500.00000
2     Tesla  5000.95780
3   Mustang  8000.00000
4  Mercedes  9000.75768
5    Jaguar  6000.00000

Updated dataframe with rounding decimal values...
        Car   Reg_Price
0       BMW    7000.51
1     Lexus    1500.00
2     Tesla    5000.96
3   Mustang    8000.00
4  Mercedes    9000.76
5    Jaguar    6000.00