# Overview

We can extract the date from a datetime column in the following ways:

1. The `.dt` accessor
2. The `normalize()` method

## The `.dt` accessor

The **`.dt` accessor method** is used to access the datetime-like properties for the series.

> **Note:** We can refer to [.dt accessor](https://pandas.pydata.org/pandas-docs/stable/user_guide/basics.html#dt-accessor) to learn more about `.dt` accessor.

## Code example
Let's look at the code below:

import pandas as pd

df = pd.DataFrame({"timestamp": ["2013-01-01 09:10:12", "2022-01-02 09:10:12", "2022-01-03 09:10:12", "2022-01-04 09:10:12"]})

print(pd.to_datetime(df['timestamp']).dt.date)

python39

## Code explanation

- Line 1: We import the `pandas` module.
- Line 3: We create a dataframe `df` with a `timestamp` column.
- Line 5: We access the date part of the `timestamp` column by accessing the `date` of `dt` accessor.

# 
## The `normalize()` method

The **`normalize()` method** converts times to midnight. It sets all the values to `00:00:00`.

## Code example
Let's look at the code below:



import pandas as pd

df = pd.DataFrame({"timestamp": ["2013-01-01 09:10:12", "2022-01-02 09:10:12", "2022-01-03 09:10:12", "2022-01-04 09:10:12"]})

print(pd.to_datetime(df['timestamp']).dt.normalize())

## Code explanation

- Line 1: We import the `pandas` module.
- Line 3: We create a dataframe `df` with a `timestamp` column.
- Line 5: We access the date part of the `timestamp` column by invoking the `normalize()` function of the `dt` accessor.

pandas.tar.gz

How to return only the date from DateTime column in pandas

Extract dates from a pandas datetime column using .dt accessor for datetime-like properties or normalize() to set times to midnight.

How to return only the date from DateTime column in pandas

Overview

The .dt accessor

Code example

Code explanation

The normalize() method

Code example

Code explanation

The `.dt` accessor

The `normalize()` method