Convert numeric column to character in pandas python (integer to string)

Converting numeric column to character in pandas python is accomplished using astype() function. astype() function converts or Typecasts integer column to string column in pandas. Let’s see how to

• Typecast or convert numeric column to character in pandas python with astype() function.
• Typecast or convert numeric to character in pandas python with apply() function.

First let’s create a dataframe.

import pandas as pd
import numpy as np

#Create a DataFrame
df1 = {
     'Name':['George','Andrea','micheal','maggie','Ravi','Xien','Jalpa'],
   'is_promoted':[0,1,0,0,1,0,1]}

df1 = pd.DataFrame(df1,columns=['Name','is_promoted'])
print(df1)

df1 will be

Datatypes of df1 will be

Note: Object datatype of pandas is nothing but character (string) datatype of python.

Typecast numeric to character column in pandas python:

astype() function converts numeric column (is_promoted) to character column as shown below

 
# Get current data type of columns 

df1['is_promoted'] = df1.is_promoted.astype(str)
df1.dtypes 

“is_promoted” column is converted from numeric(integer)  to character (object).

Typecast numeric to character column in pandas python using apply():

apply() function takes “str” as argument and converts numeric column (is_promoted) to character column as shown below

 
# Get current data type of columns 

df1['is_promoted'] = df1['is_promoted'].apply(str)
df1.dtypes 

“is_promoted” column is converted from numeric(integer)  to character (object) using apply() function

Other Related Topics:

• Get the data type of column in pandas python
• Convert column to categorical in pandas python
• Convert character column to numeric in pandas python (string to integer)
• Extract first n characters from left of column in pandas python
• Extract last n characters from right of the column in pandas python
• Replace a substring of a column in pandas python
• Check and Count Missing values in pandas python

for further details on astype() function one can refer this documentation.