Python dataframe datetime to date

Pandas Convert Datetime to Date Column

You can convert DateTime to Date in pandas by using dt.date and dt.normalize() methods. In Pandas, DateTime is a collection of date and time in the format of “YYYY-MM-DD HH:MM:SS” where YYYY-MM-DD is referred to as the date and HH:MM:SS is referred to as Time.

In this article, I will cover how to convert DateTime to date by extracting only date from the date and time column of DataFrame.

1. Quick Examples of pandas Convert Datetime to Date

If you are in a hurry, below are some quick examples of how to convert the DateTime column to Date.

 # Below are quick example # Using Date function df['Date'] = pd.to_datetime(df["InsertedDateTime"]).dt.date # Using single date function Datetime = '2021-11-15 21:04:15' df2 = pd.to_datetime(Datetime).date() # Using normalize() method df['Date'] = pd.to_datetime(df["InsertedDateTime"]).dt.normalize() 

Now, let’s create a DataFrame with a few rows and columns, execute these examples and validate results. Our DataFrame contains column names Courses , Fee and InsertedDateTime .

 # Create Pandas DataFrame import pandas as pd technologies = (< 'Courses':["Spark","PySpark","Hadoop","Python","Pandas"], 'Fee':[22000,25000,23000,24000,26000], "InsertedDateTime":['2021-11-15 21:04:15','2020-05-04 22:04:10','2018-01-26 15:23:14','2019-02-18 10:05:18','2021-12-10 15:13:21'] >) df = pd.DataFrame(technologies) print(df) 

 # Output: Courses Fee InsertedDateTime 0 Spark 22000 2021-11-15 21:04:15 1 PySpark 25000 2020-05-04 22:04:10 2 Hadoop 23000 2018-01-26 15:23:14 3 Python 24000 2019-02-18 10:05:18 4 Pandas 26000 2021-12-10 15:13:21 

2. Convert Datetime to Date

The DateTime column can store date and time together, If you want just the date and do not want time in format YYYY-MM-DD format use pandas.to_datetime().dt.date. Here, pandas.to_datetime() is used to convert String column to DateTime.

 # Using Date function df['Date'] = pd.to_datetime(df["InsertedDateTime"]).dt.date print(df) 

 # Output: Courses Fee InsertedDateTime Date 0 Spark 22000 2021-11-15 21:04:15 2021-11-15 1 PySpark 25000 2020-05-04 22:04:10 2020-05-04 2 Hadoop 23000 2018-01-26 15:23:14 2018-01-26 3 Python 24000 2019-02-18 10:05:18 2019-02-18 4 Pandas 26000 2021-12-10 15:13:21 2021-12-10 

If the date in the string column is already in date format, then just use date() to truncate the time.

 # Using single date function Datetime = '2021-11-15 21:04:15' df2 = pd.to_datetime(Datetime).date() print(df2) # Output: # 2021-11-15 

3. Convert Datetime to Date Using normalize() Method

You can convert DateTime to date using normalize() method. Use pd.to_datetime(df[«InsertedDateTime»]).dt.normalize() method to normalize the data by extracting the date from DateTime.

 # Using normalize() method df['Date'] = pd.to_datetime(df["InsertedDateTime"]).dt.normalize() print(df) 

Yields same output as above.

5. Complete Example Of Convert Datetime to Date

 # Example Of Convert Datetime to Date import pandas as pd technologies = (< 'Courses':["Spark","PySpark","Hadoop","Python","Pandas"], 'Fee':[22000,25000,23000,24000,26000], "InsertedDateTime":['2021-11-15 21:04:15','2020-05-04 22:04:10','2018-01-26 15:23:14','2019-02-18 10:05:18','2021-12-10 15:13:21'] >) df = pd.DataFrame(technologies) print(df) # Using Date function df['Date'] = pd.to_datetime(df["InsertedDateTime"]).dt.date print(df) # Using single date function Datetime = '2021-11-15 21:04:15' df2 = pd.to_datetime(Datetime).date() print(df2) # Using normalize() method df['Date'] = pd.to_datetime(df["InsertedDateTime"]).dt.normalize() print(df) 

Conclusion

In this article, you have learned how to convert DateTime to date in pandas by using dt.date() and dt.normalize() methods and with more examples.

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Как преобразовать дату и время в дату в pandas

Часто вы можете захотеть преобразовать дату и время в дату в pandas. К счастью, это легко сделать с помощью функции .dt.date , которая имеет следующий синтаксис:

df['date_column'] = pd.to_datetime(df['datetime_column']). dt.date 

Пример: Datetime to Date в Pandas

Например, предположим, что у нас есть следующий кадр данных pandas:

import pandas as pd #create pandas DataFrame with two columns df = pd.DataFrame() #view DataFrame print(df) sales time 0 4 2020-01-15 20:02:58 1 11 2020-01-18 14:43:24 

Чтобы преобразовать столбец «время» только в дату, мы можем использовать следующий синтаксис:

#convert datetime column to just date df['time'] = pd.to_datetime(df['time']). dt.date #view DataFrame print(df) sales time 0 4 2020-01-15 1 11 2020-01-18 

Теперь в столбце «время» просто отображается дата без времени.

Использование Normalize() для Dtypes datetime64

Обратите внимание, что приведенный выше код вернет объект dtype:

#find dtype of each column in DataFrame df.dtypes sales int64 time object dtype: object 

Если вместо этого вы хотите datetime64 , вы можете normalize() компонент времени, который сохранит dtype как datetime64 , но будет отображать только дату:

#convert datetime column to just date df['time'] = pd.to_datetime(df['time']). dt.normalize () #view DataFrame print(df) sales time 0 4 2020-01-15 1 11 2020-01-18 #find dtype of each column in DataFrame df.dtypes sales int64 time datetime64[ns] dtype: object 

Снова отображается только дата, но столбец «время» имеет тип datetime64 dtype.

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Pandas convert DateTime to date

Being able to convert a datetime64 object in Pandas to just the date can make it easier to understand and work with. In this post, I will show you how to do this simply in multiple variants.

Being able to convert a datetime64 object in Pandas to just the date can make it easier to understand and work with. In this post, I will show you how to do this simply in multiple variants.

How to convert a datetime64 Pandas object to date in Python

It’s simple to convert a Pandas datetime64 object to just the date in Python, to do so all you need to do is use the .dt.date method on the DateTime column in question.

Let’s look at some examples.

Pandas convert DateTime to date

The most common way of converting a DateTime column in Pandas to just the date is by using the .dt.date method.

This example shows a simple implementation of the method.

import pandas as pd df = pd.DataFrame() df['datetime'] = pd.to_datetime( ['2022-09-15 09:01:20', '2022-05-02 18:21:58', '2022-07-22 13:47:12'] ) df['date'] = df['datetime'].dt.date print(df) print(df.dtypes) """ Output: datetime date 0 2022-09-15 09:01:20 2022-09-15 1 2022-05-02 18:21:58 2022-05-02 2 2022-07-22 13:47:12 2022-07-22 datetime datetime64[ns] date object """ 

Convert Pandas DateTime to date but keep data type

Using .dt.date will return the column as an object data type, which has limitations. If you however want to keep the column as a datetime64 data type then you need to use either .normalize() or round to the nearest day by using .round() . Let’s look at an example of these in action.

import pandas as pd df = pd.DataFrame() df['datetime'] = pd.to_datetime( ['2022-09-15 09:01:20', '2022-05-02 18:21:58', '2022-07-22 13:47:12'] ) df['date_round'] = df['datetime'].dt.round("D") df['date_normalize'] = df['datetime'].dt.normalize() print(df) print(df.dtypes) """ Output: datetime date_round date_normalize 0 2022-09-15 09:01:20 2022-09-15 2022-09-15 1 2022-05-02 18:21:58 2022-05-03 2022-05-02 2 2022-07-22 13:47:12 2022-07-23 2022-07-22 datetime datetime64[ns] date_round datetime64[ns] date_normalize datetime64[ns] """ 

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I’m a Data Scientist currently working for Oda, an online grocery retailer, in Oslo, Norway. These posts are my way of sharing some of the tips and tricks I’ve picked up along the way.

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Convert Datetime to Date in Python

1. Use the datetime.date() Function to Convert Datetime to Date in Python
2. Use Pandas to Convert DateTime to Date in Python

Python does not contain any specific in-built data type for storing date and time. However, it provides a datetime module that supplies the user with classes that alter and manipulate the date and time in the Python code.

In this tutorial, we will learn the different ways available to convert DateTime to date in Python.

Before listing the different ways of implementing this process, let us understand the difference between a datetime and a date object.

A datetime object is capable of returning the time and date. Usually, it contains a vast variety of values, namely the microsecond, second, minute, hour, day, month, and year values. On the other hand, an object of the type date only contains the date.

Use the datetime.date() Function to Convert Datetime to Date in Python

The datetime() constructor can be utilized to generate a date.

The datetime() constructor has three parameters: day, month, and year.

These three parameters are required to generate a date with the constructor.

The programmer can simply use the date() function that returns an object of the date type.

The following code uses the date() function to convert DateTime to date in Python.

import datetime print(datetime.datetime.now()) print(datetime.datetime.now().date()) 

2021-10-17 21:27:46.018327 2021-10-17 

Explanation

• The datetime module is imported to the python code
• The current date and time are provided as a datetime object by the datetime.datetime.now() function.
• The current date as an object of the type date is supplied with the help of the date() function along with the datetime.datetime.now() function.

The datetime.date.today() function can be utilized when there is a need to find the current date directly. However, this alternative does not work if we need anything else except the current date.

The following code uses the datetime.date.today() function.

import datetime print(datetime.datetime.now()) print(datetime.date.today()) 

2021-10-17 21:27:46.018327 2021-10-17 

For this particular case, both the methods provide the same output as we are working on the current date.

Use Pandas to Convert DateTime to Date in Python

Pandas DataFrame can be utilized to generate arrays that accommodate time and date values.

To use pandas DataFrame and generate an array containing the time column, we need to import the pandas module.

The following code uses pandas DataFrame to convert DateTime to date in Python.

import pandas as pd dataf = pd.DataFrame('EMP': [3, 6],'time': ['2021-10-15 16:05:00','2021-10-17 20:00:30']>) print(dataf) dataf['time'] = pd.to_datetime(dataf['time']).dt.date print(dataf) 

EMP time 0 3 2021-10-15 16:05:00 1 6 2021-10-17 20:00:30 EMP time 0 3 2021-10-15 1 6 2021-10-17 

It is clearly visible in the above code that after the execution of the dt.date function, the time column only displays the time and the date.

Explanation

• Firstly, we create a pandas DataFrame and add the DateTime values into a column.
• Then, the dt.date() function is utilized to convert the DateTime value to a date value.
• The print command is utilized to display both the date value and the DateTime value in the output.

Vaibhhav is an IT professional who has a strong-hold in Python programming and various projects under his belt. He has an eagerness to discover new things and is a quick learner.

Related Article — Python DateTime

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