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Pandas DataFrame dtypes Property | Find DataType of Columns

Last Updated : 11 Jul, 2025

Pandas DataFrame is a two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). 

Pandas DataFrame.dtypes attribute returns a series with the data type of each column.

Example:

import pandas as pd
df = pd.DataFrame({'Weight': [45, 88, 56, 15, 71],
                   'Name': ['Sam', 'Andrea', 'Alex', 'Robin', 'Kia'],
                   'Age': [14, 25, 55, 8, 21]})
index_ = ['Row_1', 'Row_2', 'Row_3', 'Row_4', 'Row_5']
df.index = index_
print(df)

Output: 

Syntax: DataFrame.dtypes 

Parameter : None 

Returns : data type of each column

Let's check some examples of how to find the data type of each column of a DataFrame using the dtypes property of DataFrame.

Now we will use the dtypes attribute to find out the data type of each column in the given DataFrame. 

# return the dtype of each column
result = df.dtypes

# Print the result
print(result)

Output: 

As we can see in the output, the DataFrame.dtypes attribute has successfully returned the data types of each column in the given Dataframe.   

Use the DataFrame dtypes attribute to find out the data type (dtype) of each column in the given DataFrame. 

# importing pandas as pd
import pandas as pd

# Creating the DataFrame
df = pd.DataFrame({& quot
                    A&quot: [12, 4, 5, None, 1],
                    & quot
                    B&quot
                    : [7, 2, 54, 3, None],
                    & quot
                    C&quot
                    : [20, 16, 11, 3, 8],
                    & quot
                    D&quot
                    : [14, 3, None, 2, 6]})

# Create the index
index_ = ['Row_1', 'Row_2', 'Row_3', 'Row_4', 'Row_5']

# Set the index
df.index = index_

# Print the DataFrame
print(df)

Output:

 Now we will use DataFrame.dtypes attribute to find out the data type of each column in the given DataFrame. 

# return the dtype of each column
result = df.dtypes

# Print the result
print(result)

Output:

As we can see in the output, the DataFrame.dtypes attribute has successfully returned the data types of each column in the given DataFrame.

Check More Properties of DataFrame

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