Convert String to Date using Python

access_time 10 months ago visibility837 comment 0

In my previous article about Convert string to date in Python / Spark, I showed how to use Spark udf to convert string to date in PySpark. Today I'm going to show you how to use pure Python function to convert string to date.

Function datetime.strptime

datetime.datetime.strptime function is used to convert string to datetime object in Python. The definition of this function is:

 @classmethod
 def strptime(cls, date_string, format):
        'string, format -> new datetime parsed from a string (like time.strptime()).'
        import _strptime
        return _strptime._strptime_datetime(cls, date_string, format)

This function returns a datetime object and we can use date function of that object to get a date object. 

Parameter format

Parameter format represents of the format of datetime string.

The follow table list all the format codes that can be used for different components (from official documentation). 

Directive

Meaning

Example

%a

Weekday as locale’s abbreviated name.

Sun, Mon, …, Sat (en_US);
So, Mo, …, Sa (de_DE)

%A

Weekday as locale’s full name.

Sunday, Monday, …, Saturday (en_US);
Sonntag, Montag, …, Samstag (de_DE)

%w

Weekday as a decimal number,

where 0 is Sunday and 6 is Saturday.

0, 1, …, 6

%d

Day of the month as a zero-padded decimal number.

01, 02, …, 31

%b

Month as locale’s abbreviated name.

Jan, Feb, …, Dec (en_US);
Jan, Feb, …, Dez (de_DE)

%B

Month as locale’s full name.

January, February, …, December (en_US);
Januar, Februar, …, Dezember (de_DE)

%m

Month as a zero-padded decimal number.

01, 02, …, 12

%y

Year without century as a zero-padded decimal number.

00, 01, …, 99

%Y

Year with century as a decimal number.

0001, 0002, …, 2013, 2014, …, 9998, 9999

%H

Hour (24-hour clock) as a zero-padded decimal number.

00, 01, …, 23

%I

Hour (12-hour clock) as a zero-padded decimal number.

01, 02, …, 12

%p

Locale’s equivalent of either AM or PM.

AM, PM (en_US);
am, pm (de_DE)

%M

Minute as a zero-padded decimal number.

00, 01, …, 59

%S

Second as a zero-padded decimal number.

00, 01, …, 59

%f

Microsecond as a decimal number, zero-padded on the left. 

000000, 000001, …, 999999

%z

UTC offset in the form ±HHMM[SS[.ffffff]] (empty string if the object is naive).

(empty), +0000, -0400, +1030, +063415, -030712.345216

%Z

Time zone name (empty string if the object is naive).

(empty), UTC, EST, CST

%j

Day of the year as a zero-padded decimal number.

001, 002, …, 366

%U

Week number of the year (Sunday as the first day of the week) as a zero padded decimal number.

All days in a new year preceding the first Sunday are considered to be in week 0.

00, 01, …, 53

%W

Week number of the year (Monday as the first day of the week) as a decimal number.

All days in a new year preceding the first Monday are considered to be in week 0.

00, 01, …, 53

%c

Locale’s appropriate date and time representation.

Tue Aug 16 21:30:00 1988 (en_US);
Di 16 Aug 21:30:00 1988 (de_DE)

%x

Locale’s appropriate date representation.

08/16/88 (None);
08/16/1988 (en_US);
16.08.1988 (de_DE)

%X

Locale’s appropriate time representation.

21:30:00 (en_US);
21:30:00 (de_DE)

%%

A literal '%' character.

%


Code snippets

The following shows examples of parsing different format string to date in Python.

from datetime import datetime

datetime.strptime('Apr 1 2020  1:33PM', '%b %d %Y %I:%M%p').date()

datetime.strptime('2020-04-01', '%Y-%m-%d').date()

datetime.strptime('2020 04 01', '%Y %m %d').date()

datetime.strptime('01/04/2020', '%d/%m/%Y').date()

datetime.strptime('01/04/20', '%d/%m/%y').date()

datetime.strptime('04/01/20', '%m/%d/%y').date()

datetime.strptime('20200401', '%Y%m%d').date()

Output:

Date to string

There is another commonly used function strptime that can convert date to string using format codes.

For example, the following snippet convert the date object to YYYY-MM-DD format.

datetime.now().strftime('%Y-%m-%d')

Output:


info Last modified by Raymond 10 months ago copyright This page is subject to Site terms.
Like this article?
Share on

Please log in or register to comment.

account_circle Log in person_add Register

Log in with external accounts

Follow Kontext

Get our latest updates on LinkedIn or Twitter.

Want to publish your article on Kontext?

Learn more

More from Kontext

visibility 823
thumb_up 0
access_time 2 years ago

Pickle files are commonly used Python data related projects. This article shows how to create and load pickle files using Pandas.  import pandas as pd import numpy as np file_name="data/test.pkl" data = np.random.randn(1000, 2) # pd.set_option('display.max_rows', None) df = ...

visibility 34506
thumb_up 0
access_time 3 years ago

This post shows how to derive new column in a Spark data frame from a JSON array string column. I am running the code in Spark 2.2.1 though it is compatible with Spark 1.6.0 (with less JSON SQL functions). Refer to the following post to install Spark in Windows. Install Spark 2.2.1 in Windows ...

Pandas DataFrame Plot - Bar Chart
visibility 2142
thumb_up 0
access_time 10 months ago

Recently, I've been doing some visualization/plot with Pandas DataFrame in Jupyter notebook. In this article I'm going to show you some examples about plotting bar chart (incl. stacked bar chart with series) with Pandas DataFrame. I'm using Jupyter Notebook as IDE/code execution environment.  ...