In this python pandas program, we will get the datatypes of columns of a DataFrame using the pandas library.
Steps to solve the program
- Import pandas library as pd.
- Create a dataframe using pd.DataFrame().
- Get the datatypes of columns of a DataFrame using df.types.
- Print the output.
import pandas as pd
import numpy as np
d = {'Sr.no.':[1,2,3,4],'Name':['Alex','John','Peter','Klaus'],'Age':[30,27,29,33],'Salary':[50000,65000,58000,66000]}
df = pd.DataFrame(d)
print(df)
print(df.dtypes)
Output :
0 Sr.no. Name Age Salary
0 1 Alex 30 50000
1 2 John 27 65000
2 3 Peter 29 58000
3 4 Klaus 33 66000
Sr.no. int64
Name object
Age int64
Salary int64
dtype: object