How to Get the Data Type of a DataFrame Column in Pandas

Published Dec 25, 2021  ∙  Updated May 2, 2022

How can we get the data type of a column in a Pandas DataFrame?

Suppose we have a DataFrame df with columns col1 and col2.

Get all column types

Using df.dtypes

We can use df.dtypes to return the type of each column in our DataFrame.


This should yield a result like the following:

col1    int64
col2   object 
dtype: object


We could also use to obtain a detailed summary of our DataFrame, which will include our column data types.

This would be our output:

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 5 entries, 0 to 4
Data columns (total 2 columns):
 #   Column     Non-Null Count  Dtype
---  ------     --------------  -----
 0   col1       5 non-null      int64
 1   col2       5 non-null      object
dtypes: int64(1), object(1)
memory usage: 148.0+ bytes

Get a single column type using df.dtypes[]

We can use df.dtypes[col_name] to return the type of a single column in our DataFrame.


This should yield a result like the following: