How to convert floats to ints in Pandas?

Learn how to convert floats to ints in Pandas? B Pranit Sharma Last updated : September 20, 2023

Pandas is a special tool which allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of DataFrame. DataFrames are 2-dimensional data structure in pandas. DataFrames consists of rows, columns and the data. The data inside the rows and columns can be of any type like int, float, string etc.

Problem statement

Given a Pandas DataFrame, we have to convert floats to ints in it.

Converting floats to ints in pandas dataframe

For this purpose, we are going to use pandas.DataFrame.astype() method. This method is used for type casting. It cast an object to a specified dtype, it is very easy to understand when it comes to cast the data type of a particular column.

Syntax:

DataFrame.astype(
    dtype, 
    copy=True, 
    errors='raise'
    )

# or
DataFrame.astype(dtype='')

Let us understand with the help of an example.

Python program to convert floats to ints in Pandas

# Importing pandas package
import pandas as pd

# Create a dictionary for the DataFrame
dict = {
    'Name': ['Sudhir', 'Pranit', 'Ritesh','Sanskriti', 'Rani','Megha','Suman','Ranveer'],
    'Age': [16, 27, 27, 29, 29,22,19,20],
    'Height (cm)': [140.23, 143.6, 157.4, 148.78, 133.23,149.22,139.32,148.65]
}

# Converting Dictionary to Pandas Dataframe
df = pd.DataFrame(dict)

# Display original DataFrame
print("Original DataFrame:\n",df,"\n")

# Converting float to int
df['Height (cm)'] = df['Height (cm)'].astype(int)

# Display modified DataFrame
print("Modified DataFrame\n",df)