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How to check the dtype of a column in Python Pandas?

Given a Pandas DataFrame, we have to check the dtype of a column.
Submitted by Pranit Sharma, on June 19, 2022

Pandas is a special tool that 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 structures in pandas. DataFrames consist of rows, columns, and the data. The Data inside the DataFrame can be of any type.

And hence we need to check each and every data type of the columns of a pandas DataFrame, for this purpose, we will use pandas.DataFrame.dtypes() method.

To work with pandas, we need to import pandas package first, below is the syntax:

import pandas as pd

Let us understand with the help of an example,

Python code to check the dtype of a column in Pandas

# Importing pandas package
import pandas as pd

# Creating a dictionary
d = {
    'Name':['Raghu','Rajiv','Rajiv','Parth'],
    'Age':[30,25,25,10],
    'Gender':['Male','Male','Male','Male']
}

# Creating a DataFrame
df = pd.DataFrame(d)

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

# Returning the dtype of all columns
result = df.dtypes

# Display result
print("DataTypes:\n",result)

Output:

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