Write a program in Python to covert the datatype of a particular column in a dataframe

Assume, you have a dataframe, the result for converting float to int as,

Before conversion Name      object Age       int64 Maths     int64 Science   int64 English   int64 Result    float64 dtype: object After conversion Name    object Age     int64 Maths   int64 Science int64 English int64 Result int64 dtype: object

To solve this, we will follow the steps given below −

Solution

• Define a dataframe

• Convert float datatype column ‘Result’ into ‘int’ as follows −

df.Result.astype(int)

Example

Let’s see the below implementation to get a better understanding −

import pandas as pd data = {'Name': ['David', 'Adam', 'Bob', 'Alex', 'Serina'],          'Age' : [13,12,12,13,12],          'Maths': [98, 59, 66, 95, 70],          'Science': [75, 96, 55, 49, 78],          'English': [79, 45, 70, 60, 80],          'Result': [8.1,6.2,6.3,7.2,8.3]} df = pd.DataFrame(data) print("Before conversion\n", df.dtypes) df.Result = df.Result.astype(int) print("After conversion\n",df.dtypes)

Output

Name      object Age       int64 Maths     int64 Science   int64 English   int64 Result    float64 dtype: object Name     object Age      int64 Maths   int64 Science int64 English int64 Result int64 dtype: object