Pandas Series.round() Tutorial

In this tutorial, we’ll explore the Series.round() method in Pandas, which is used to round the numeric values in a Pandas Series to the specified number of decimals, with well detailed example programs.

The syntax of Series.round(decimals=0) is:

Series.round(decimals=0)

where

The Series.round() method is useful for formatting and presenting numeric data in a cleaner way.

Examples

1. Round values to the nearest integer using Series.round()

In this example, we’ll use Series.round() to round the numeric values in a Pandas Series to the nearest integer.

We shall pass no arguments to the round() function, and the default value of decimals which is 0 shall take effect.

import pandas as pd

# Create a Series with decimal values
original_series = pd.Series([3.14, 2.75, 6.42, 8.91])

# Round values to the nearest integer
rounded_series = original_series.round()

# Print original and rounded Series
print("Original Series:")
print(original_series)
print("\nRounded Series:")
print(rounded_series)

Output

Original Series:
0    3.14
1    2.75
2    6.42
3    8.91
dtype: float64

Rounded Series:
0    3.0
1    3.0
2    6.0
3    9.0
dtype: float64

2. Round values to a specific number of decimals using Series.round()

In this example, we’ll use Series.round() to round the numeric values in a Pandas Series to a specific number of decimals (e.g., 2 decimals).

import pandas as pd

# Create a Series with decimal values
original_series = pd.Series([3.141592, 2.718281, 1.414214, 0.577216])

# Round values to 2 decimals
rounded_series = original_series.round(decimals=2)

# Print original and rounded Series
print("Original Series:")
print(original_series)
print("\nRounded Series (2 decimals):")
print(rounded_series)

Output

Original Series:
0    3.141592
1    2.718281
2    1.414214
3    0.577216
dtype: float64

Rounded Series (2 decimals):
0    3.14
1    2.72
2    1.41
3    0.58
dtype: float64

Summary

In this tutorial, we’ve covered the Series.round() method in Pandas, which is useful for rounding the numeric values in a Series to the desired number of decimals. This method is handy for formatting and presenting data in a more readable way.