Pandas round()

The round() method in Pandas is used to round values to a specified number of decimal places.

Example

 import pandas as pd # create a DataFrame data = {'Value1': [1.1234, 2.3456, 3.5678], 'Value2': [4.2345, 5.6789, 6.9123]} df = pd.DataFrame(data) 
# round the entire DataFrame to 2 decimal places df_rounded = df.round(2)
print(df_rounded) ''' Output Value1 Value2 0 1.12 4.23 1 2.35 5.68 2 3.57 6.91 '''

round() Syntax

The syntax of the round() method in Pandas is:

 df.round(decimals=0, *args, **kwargs)

round() Arguments

The round() method takes following arguments:

  • decimal (optional) - number of decimal places to round to
  • *args and **kwargs (optional) - additional arguments and keyword arguments that can be passed to the function

round() Return Value

The round() method returns a new DataFrame with the data rounded to the given number of decimals.


Example 1: Round DataFrame Elements to Nearest Integer

 import pandas as pd # create a DataFrame data = {'Value1': [1.1234, 2.3456, 3.5678], 'Value2': [4.2345, 5.6789, 6.9123]} df = pd.DataFrame(data) 
# round the entire DataFrame elements to nearest integer df_rounded = df.round()
print(df_rounded)

Output

  Value1 Value2 0 1.0 4.0 1 2.0 6.0 2 4.0 7.0

In this example, the round() method rounds the elements of the df Dataframe to the nearest integer.


Example 2: Round Elements to Given Number of Decimal Places

 import pandas as pd # sample data data = { 'A': [1.12345, 2.98765], 'B': [3.10234, 4.76543] } # create a DataFrame df = pd.DataFrame(data) # round to 3 decimal places df_rounded = df.round(3) print(df_rounded)

Output

  A B 0 1.123 3.102 1 2.988 4.765

In the above example, the round() method is used to round the elements of the df DataFrame.

The argument 3 indicates that we want to round all the numeric values in df to three decimal places.


Example 3: Round Specific Columns

 import pandas as pd # create a DataFrame data = {'Value1': [1.1234, 2.3456, 3.5678], 'Value2': [4.2345, 5.6789, 6.9123]} df = pd.DataFrame(data) 
# round specific columns to given number of decimal places df_rounded = df.round({'Value1': 1, 'Value2': 2})
print(df_rounded)

Output

  Value1 Value2 0 1.1 4.23 1 2.3 5.68 2 3.6 6.91

Here, we have passed a dictionary to the round() method where:

  • 'Value1': 1 - specifies that the column labeled Value1 should be rounded to 1 decimal place.
  • 'Value2': 2 - specifies that the column labeled Value2 should be rounded to 2 decimal places.

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