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.

df.dtypes

This should yield a result like the following:

col1    int64
col2   object 
dtype: object

Using df.info()

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

df.info()

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.

df.dtypes['col1']

This should yield a result like the following:

dtype('int64')