Concatenate two columns of dataframe in pandas python

Concatenating two columns of the dataframe in pandas can be easily achieved by using simple ‘+’ operator . Let’s see how to

• Concatenate two columns of dataframe in pandas (two string columns)
• Concatenate integer (numeric) and string column of dataframe in pandas python

Let’s first create the dataframe.

import pandas as pd
import numpy as np

#Create a DataFrame
df1 = {
    'State':['Arizona','Georgia','Newyork','Indiana','Florida'],
    'State_code':['AZ','GG','NY','IN','SL'],
   'Score':[62,47,55,74,31]}

df1 = pd.DataFrame(df1,columns=['State','State_code','Score'])
print(df1)

So the resultant dataframe will be

 

Concatenate two string columns pandas:

Let’s concatenate two columns of dataframe with ‘+’ as shown below

df1['state_and_code'] = df1['State'] + df1['State_code']
print(df1)

So the result will be

 

Concatenate two string columns with space in pandas:

Let’s concatenate two columns of dataframe with space as shown below

df1['state_and_code'] = df1['State'] +' '+ df1['State_code']
print(df1)

So the result will be

 

Concatenate two string columns with – (hyphen) in pandas:

Let’s concatenate two columns of dataframe with – (hyphen) as shown below

df1['state_and_code'] = df1['State'] +'-'+ df1['State_code']
print(df1)

So the result will be

 

Concatenate String and numeric column in pandas:

First we need to convert integer column to string column using map(str) function and then concatenate  as shown below

df1['code_and_score'] = df1["State_code"]+ "-" + df1["Score"].map(str)
print(df1)

So the resultant dataframe will be