date parser | python parser for human readable dates | analyst library (2023)

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dateparser is a Python library commonly used in utilities, Parser applications. dateparser has no bugs, no vulnerabilities, has a build file available, is licensed and highly supported. You can install using 'pip install dateparser' or download from GitHub, PyPI.

python parser for human readable dates

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            date parser | python parser for human readable dates | analyst library (1)Support

              dateparser has a very active ecosystem.

              It has 2,250 stars with 441 forks. There are 133 viewers for this library.

              There have been 4 major releases in the last 6 months.

              There are 249 open issues and 366 closed ones. On average, cases are closed in 424 days. There are 46 open pull requests and 0 closed pull requests.

              date parser | python parser for human readable dates | analyst library (2)

              It has negative sentiment in the developer community.

              The latest version of dateparser is 1.1.8

            date parser | python parser for human readable dates | analyst library (3)Quality

              dateparser has 0 bugs and 0 code smells.

            date parser | python parser for human readable dates | analyst library (4)Security

              dateparser has no reported vulnerabilities and its dependent libraries have no reported vulnerabilities.

              Date analysis code analysis shows 0 unresolved vulnerabilities.

              There are 0 security access points to check.

            date parser | python parser for human readable dates | analyst library (5)Permission

              dateparser is licensed under the BSD-3-Clause license. This permission is allowed.

              Permissive licenses have the fewest restrictions, and you can use them in most projects.

            date parser | python parser for human readable dates | analyst library (6)reuse

              Versions of dateparser are available for installation and embedding.

              The dropdown package is available on PyPI.

              The build file is available. You can build the component from source.

              dateparser will save you 60,729 man-hours of effort developing the same functionality from scratch.

              It has 57527 lines of code, 734 functions, and 261 files.

              It has a high code complexity. The complexity of the code directly affects the maintainability of the code.

            Main features reviewed by kandi - BETA

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            and find out the following as its main features. This is meant to give you an immediate overview

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            applied functionality and help you decide if they meet your requirements.

            • Retrieve data for a specific locale
            • run a search
            • Translate a search string
            • Remove words found in future words
            • Analyze a file
            • split a string
            • Converts a string to a date object
            • Parse a string using the parse method
            • Apply time zone to date time
            • Find the difference between two dictionaries
            • Repeat languages ​​available
            • Normalize has a dictionary
            • Returns the period of the query.
            • Convert a dictionary to a string
            • Returns a date object
            • Returns a date object for the given token
            • Return a language - local dictionary
            • Mono patch of strptime-module
            • Replaces the number of days in the source
            • Returns a function to sort the language of the language.
            • Write the complete data to a file.
            • Find the intersection between two periods
            • Download the cldr data folder
            • Entry point for date parser
            • Create offsets from search_regex_parts
            • Decorator to set a record

            Download all verified Kandi functions for this library.

            Date parsing key features

            python parser for human readable dates

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            Java

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            License: Permissive (MIT)

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            May 8, 2009 17:57:51 Oct 7, 1970 Oct 7, 70 Oct 7, 1970 7, 70

            Implementation

            Java

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            Code lines: 9

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            License: Permissive (MIT)

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            Reference Mode Cnt Score Error UnitsSingleBenchmark.java gem 6 921 632 ± 12 299 ns/opSingleBenchmark.parser gem 6 1553 909 ± 70 664 ns/op Reference Mode CntScore Error

            date parser

            Java

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            Code lines: 5

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            License: no license

            (Video) Django Numbers and Dates Using Humanize - human readable format

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            net.rationalminds DateParser 1.4

            Error converting string to brazilian date format in python

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            License: Strong Copyleft (CC BY-SA 4.0)

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            import dateparservalues​​​​= ['app', 'Feb 5, 2022', 'Feb 6, 2022', 'Feb 7, 2022', 'Feb 8, 2022'][dateparser.parse(x ) for x in prices]
            [None, datetime.datetime(2022, 2

            Python partial date parser function

            Piton

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            s = "jan 21" import datetime = datetime.datetime.strptime(s, "%y%b").date()print(d)
            01-01-2021

            Python/Pandas: parsing date and time formats using different date resolution locales

            Piton

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            >>> # parse ambiguous date>>> parse('02-03-2016') # assume English language, use MDY date orderdatetime.datetime(2016, 2, 3, 0, 0)>>> parse( 'le 02-03-2016') # detect French, use DMY order date

            Do I have to downgrade the conda version to install a module?

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            conda forge --name foo -c conda-forge axelrod

            Convert PDT/PST time zone column to UTC time zone

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            εισαγωγή dateparserdf['PDT/PST'] = pd.to_datetime(df['PDT/PST'].apply(dateparser.parse), utc=True)print (df) PDT/PST0 29-10-2021 07:18: 38+00:001 2021-10-29 08:08:19+00:002 2021-11-09 03:43:58+00:003 2021-11-09 03:5

            Override multiple changes to a dataframe column (datetime column)

            Piton

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            # Python env: pip install dateparser# Anaconda env: conda install dateparserimport dateparserfrom datetime import datetimeNOW = datetime.now()data = { 'Published data': ['27 minutes', '18 hours', '1 slide', '1 month', '2 months']}df = pd.D

            Efficiently process date string data with inconsistent format in pandas dataframes?

            Piton

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            def date_process(x): if bool(re.search("^\D\D\D \d\d\d\d$", x)): return dt.datetime.strptime(x, "%b %Y ") elif bool(re.search("^\d\d \D\D\D \d\d\d\d$", x)): return dt.datetime.strptime(x, "%d %b %Y") elif bool(re

            community discussions

            Popular discussions about dateparser

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            YOU ARE WELCOME

            How do you find a specific word in articles from the last 6 months and rank them week by week?

            sought

            March 25, 2022 at 2:31 p.m.

            I'm new to Kotlin and trying to figure out the best way to do this. I have an api call that I call and convert the response to a list of objects:

            ...

            ANSWER

            Answered Mar 25 '22 at 2:31 PM m.

            It's a very extreme anti-pattern to use Maps to store different types of data that you need to inspect. This attempts to force a strongly typed language to behave like a weakly typed language, losing all the protection it gets by using the script.

            Maps are appropriate if the keys are something you don't know about at compile time and you know you need to look up elements of your keys at run time.

            So instead of onechange map>return value, you must create classes to hold the results. From what I know, for each week you want to return an array of line items in the input range, so you can create a class like this to display a line item, and then return a simple list of them from your function. It currently returns the scope as well, but I don't see what you're using it for, so I left it out.

            You're working a lot with a week of the year, so I think it would be useful to have a class that represents that as well, along with some functions to help convert LocalDate.

            bronhttps://stackoverflow.com/questions/71604296

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            python-binance client.get_historical_klines fuera

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            March 23, 2022 at 4:01 pm

            hi all, i'm having a weird problem calling get_historical_klines from binance-python in my code. I tried to run it on my PC (Windows) and it worked, but on my VPS it shows this error, that's where my program fails. I tried different versions of python (3.8,3.9) and different versions of python-binance module (1.0.15) but same problem. I made sure that my PC (Windows) and my VPS (Ubuntu 20.04) have the same python version and the python-binance module. Any suggestions why this is happening and how I can fix it?

            ...

            ANSWER

            Answered on March 16, 2022 at 8:56 PM

            try downgrading the regex module from 2022.3.15 to 2022.3.2

            Greetings

            bronhttps://stackoverflow.com/questions/71502356

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            heroku error [regex._regex_core.error: bad escape \d at position 7] when using python binance

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            I tried to upload my python code (Binance trading bot) to Heroku but an error occurred. Can someone please help me?

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            Answered Mar 16 '22 at 6:49 PM m.

            I had the same problem: the regex library was updated from 2022.3.2 to 2022.3.15. You can set the version according to the requirements for a while, the problem will be solved in the next version.

            bronhttps://stackoverflow.com/questions/71498132

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            Python partial date parser function

            sought

            March 20, 2022 at 06:04

            I have a function that takes a string and converts the value to a date via a parser.

            Let's call it a date converter:

            ...

            ANSWER

            Answered Mar 18 '22 at 12:13 am

            This is what I think you're looking for:

            bronhttps://stackoverflow.com/questions/71520235

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            Python/Pandas: parsing date and time formats using different date resolution locales

            sought

            January 27, 2022 at 6:20 pm

            (Video) Pandas Time Series Analysis 4: to_datetime

            This is my first post here, so feedback on how I can best convey my questions is also appreciated.

            Basically I want to apply a date parser to a folder of .csv files. The problem is that the files can contain different (local) data time formats.

            I chose dateparser because it can handle different "out of the box" locales. The countries in the files are: German, English, French, Italian, Spanish, Swedish, Polish and Dutch. A single file has only ONE pure date format. File one is German, file 2 is English, and so on.

            I almost got it to work using dateparser, but for some reason it breaks German dates, other files are rendered with no problem. 01.08.2021 (should be August 1, it will be January 8)

            Sample data (all DD/MM/YYYY HH/MM/DD in structure)

            ...

            ANSWER

            Answered Jan 27 '22 at 6:20 PM m.

            Out of context, date parsing assumes the MDY matrix. ofdocuments:

            OOTB language based preference for date ordering

            bronhttps://stackoverflow.com/questions/70880762

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            How do I declare type d when using a map in a range?

            sought

            January 24, 2022 at 7:53 p.m.

            I'm using a map to a Pandas array to implement a function that outputs any string representing a date, or an empty string if there's no date in that string.

            ...

            ANSWER

            Answered Jan 24 '22 at 7:53 PM m.

            I had a different approach with regular expressions.

            bronhttps://stackoverflow.com/questions/70839399

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            parse a string representation of time_struct

            sought

            January 19, 2022 at 11:00 am

            I am getting data from a database and have some string representations of time_struct, for example:

            ...

            ANSWER

            Answered Jan 19 '22 at 11:00 am

            Ok so I found a solution usingto divideInpeeling time

            I just thought there might be a way to use some typeassess-as a solution

            bronhttps://stackoverflow.com/questions/70767996

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            sought

            2022-Jan-18 at 22:43

            I install new modules through the following command in my miniconda

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            ANSWER

            Answered on January 6, 2022 at 20:11

            Consider creating a separate environment, e.g.

            bronhttps://stackoverflow.com/questions/70610324

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            The cfn_tools Python module is not loaded in AWS CodeBuild running on AWS CodePipeline

            sought

            2021-December 20 19:11

            I get the following error when I run CodeBuild:ModuleNotFoundError: no module named 'cfn_tools'

            Interesting note, the first time I ran it through CodeBuild with this module, I had no problems. It only started happening after I did my next push to gitHub which started my line and I saw this. The files related to it were not changed, and the changes in the next push were made in an unrelated part of the repository.

            Since then I have tried:

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            • First I used python runtime version 3.7 and then tried with 3.9 which still didn't work.

            python runtime 3.9 Any help is appreciated.

            UPDATE: To add more information, I'm downloading a .tar.gz file from S3 that contains the python scripts I need to run in this build. I extract the .tar.gz and run the script that has the error. Here is the output for when I install cfn tools and freeze points. You will see below that the cfn tools are loaded and are part of the pip freeze output, but still when I run my script I get the error above.

            ...

            ANSWER

            Answered Dec 20 '21 at 7:11 PM m.

            The drive I tried to install was not the one I was using.

            The drive to install wascfn_fliphave thecfn_toolsunit that attempted to use the code. CodeBuild didn't have it installed, so how it worked on first run remains a mystery.

            This StackOverflow question helped

            bronhttps://stackoverflow.com/questions/70405224

            YOU ARE WELCOME

            Date parsing of OCR files using the date parsing library

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            Answered Nov 7 '21 at 5:42 PM m.

            The problem is that yoursgivenis a mapping data object. i'm not sure eitherdate parser.parsedoes what you need. I would recommendfind datepackageextract dates from the text.

            This is the regular expression I would use:

            bronhttps://stackoverflow.com/questions/69696980

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            vulnerabilities

            No vulnerabilities reported

            Install date parser

            You can install using 'pip install dateparser' or download from GitHub, PyPI.
            You can use date parsing just like any standard Python library. You need to make sure you have a development environment consisting of a Python distribution that includes header, compiler, pip, and git files installed. Make sure your pip, setup tools, and wheel are up to date. When using pip, it is generally recommended to install packages in a virtual environment to avoid system changes.

            Support

            For all new features, suggestions and bugs please create an issueGitHub. If you have any questions, check out and ask questions on the community pagestack overflow.

            Find more information at:

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            (Video) Python Pandas Tutorial (Part 10): Working with Dates and Time Series Data

            FAQs

            What is the best date parser for Python? ›

            Dateutil is the most popular Python library to parse dates. Dateparser actually uses dateutil. parser as a base, and builds its features on top of it. However, Dateutil was designed for formatted dates, e.g. '22-10-15', rather than natural language dates such as '10pm yesterday'.

            How to install Dateparser? ›

            At the command line:
            1. $ pip install dateparser.
            2. $ easy_install dateparser.
            3. $ git clone https://github.com/scrapinghub/dateparser.git $ cd dateparser $ python setup.py install.

            What is Dateparser in Python? ›

            dateparser provides modules to easily parse localized dates in almost any string formats commonly found on web pages.

            How to parse date time in Python? ›

            1. import datetime.
            2. def convert(date_time):
            3. format = '%b %d %Y %I:%M%p'
            4. datetime_str = datetime.datetime.strptime(date_time, format)
            5. return datetime_str.
            6. date_time = 'Dec 7 2022 10:46AM'
            7. print(convert(date_time))

            Which Python library is best for date and time? ›

            Arrow is a Python library that offers a sensible and human-friendly approach to creating, manipulating, formatting and converting dates, times and timestamps.

            What is the best way to compare dates in Python? ›

            Use comparison operators (like < , > , <= , >= , != , etc.) to compare dates in Python. For example, datetime_1 > datetime_2 to check if a datetime_1 is greater than datetime_2. If you want to compare only the dates of the DateTime object, use the date() method to extract only the date part from the datetime object.

            What is date parser? ›

            parse() parses a date string and returns the time difference since January 1, 1970. parse() returns the time difference in milliseconds.

            How to parse date string Python? ›

            Code
            1. from datetime import datetime.
            2. date_time_str = '18/09/19 01:55:19'
            3. date_time_obj = datetime. strptime(date_time_str, '%d/%m/%y %H:%M:%S')
            4. print ("The type of the date is now", type(date_time_obj))

            How to use Python parser? ›

            To use Python's argparse , you'll need to follow four straightforward steps:
            1. Import argparse .
            2. Create an argument parser by instantiating ArgumentParser .
            3. Add arguments and options to the parser using the .add_argument() method.
            4. Call .parse_args() on the parser to get the Namespace of arguments.
            Dec 7, 2022

            How to parse year from date in Python? ›

            The strfttime() function in Python is another method for obtaining the current year. The function strftime() takes a string specifying the date format as the argument. It returns the given date as a string in the provided format. We will pass "% Y" to strftime() to get the year of the date object.

            How to parse date string to date? ›

            Let's see the simple code to convert String to Date in java.
            1. import java.text.SimpleDateFormat;
            2. import java.util.Date;
            3. public class StringToDateExample1 {
            4. public static void main(String[] args)throws Exception {
            5. String sDate1="31/12/1998";
            6. Date date1=new SimpleDateFormat("dd/MM/yyyy").parse(sDate1);

            How to extract date from date in Python? ›

            To extract the date, simply use a regular expression and "datetime. datetime. strptime" to parse it. For example, if you have a date in the format YYYY−MM−DD in a string, you may extract and parse it using the code below.

            Is Dateutil a standard Python library? ›

            The dateutil module is not a part of Python 3's standard library, but that doesn't mean you can't use it. You can easily install it using pip. Once you do that, you can import the dateutil module into any of your Python scripts using the standard import statement the way you normally use other Python modules.

            What is the Python library to handle dates? ›

            Python's built-in datetime library is one of the most common modules to manipulate date and time object data. You can create date and datetime objects, loop through a range of dates, parse and format date strings, and more.

            Which is the best datetime library? ›

            Here I have compiled 7 Javascript libraries that will help you with this important task.
            • MomentJS. Does this library need an introduction? ...
            • Date-fns. This library is designed to be modular and tree-shakable, allowing you to easily add only the functionality that you need in your application. ...
            • Timeago. ...
            • MS. ...
            • Luxon. ...
            • Dayjs. ...
            • Fecha.
            Feb 28, 2023

            What is the difference between datetime and time library in Python? ›

            The time module is principally for working with Unix time stamps; expressed as a floating point number taken to be seconds since the Unix epoch. the datetime module can support many of the same operations, but provides a more object oriented set of types, and also has some limited support for time zones.

            How do I compare a list of dates in Python? ›

            To compare dates in Python, you can use the `datetime` module, which provides a `datetime` class to work with dates and times. In this example, we first convert date strings to `datetime` objects by using the `strptime` function. This function takes the date string and the format of the date as its arguments.

            What method do you use to compare two dates? ›

            For comparing the two dates, we have used the compareTo() method. If both dates are equal it prints Both dates are equal. If date1 is greater than date2, it prints Date 1 comes after Date 2. If date1 is smaller than date2, it prints Date 1 comes after Date 2.

            What function can you use to compare dates? ›

            Use the DATEDIF function when you want to calculate the difference between two dates. First put a start date in a cell, and an end date in another.

            What is the difference between date parse and date ParseExact? ›

            The Parse() and ParseExact() methods are quite similar. However, in ParseExact(), we pass format as an extra parameter which is not available in Parse(). The format parameter helps to convert a string date value to a DateTime object when a date is a different format like “11-07-2022”(Format should be “MM-dd-yyyy”).

            How do you parse date format? ›

            The format() method of this class accepts a java. util. Date object and returns a date/time string in the format represented by the current object.
            1. Get the input date string.
            2. Convert it into java. ...
            3. Instantiate the SimpleDateFormat class by passing the desired (new) format as string to its constructor.
            Oct 14, 2019

            How do you parse SimpleDateFormat? ›

            SimpleDateFormat format = new SimpleDateFormat("yyyy-MM-dd"); String dateString = format. format( new Date() ); Date date = format. parse ( "2009-12-31" ); The string passed as parameter to the SimpleDateFormat class is a pattern that tells how the instance is to parse and format dates.

            How to read date in Python? ›

            Python Datetime
            1. ❮ Previous Next ❯
            2. ExampleGet your own Python Server. Import the datetime module and display the current date: import datetime. ...
            3. Example. Return the year and name of weekday: import datetime. ...
            4. Example. Create a date object: ...
            5. Example. Display the name of the month: ...
            6. ❮ PreviousLog in to track progress Next ❯

            How to extract date from text string? ›

            The DATEVALUE function in Excel converts a date in the text format to a serial number that Excel recognizes as a date. So, the formula to convert a text value to date is as simple as =DATEVALUE(A1) , where A1 is a cell with a date stored as a text string.

            What is parsing how do you parse a date time string? ›

            The Parse method tries to convert the string representation of a date and time value to its DateTime equivalent. It tries to parse the input string completely without throwing a FormatException exception.

            Does Python have a parser? ›

            In Python, there is a built-in module called parse which provides an interface between the Python internal parser and compiler, where this module allows the python program to edit the small fragments of code and create the executable program from this edited parse tree of python code.

            What is parser library in Python? ›

            The parser module provides an interface to Python's internal parser and byte-code compiler. The primary purpose for this interface is to allow Python code to edit the parse tree of a Python expression and create executable code from this.

            How do you create a data parser in Python? ›

            What is meant by parsing?
            1. import parser.
            2. print ("The input expression for the parser module")
            3. expression = "5 + 4"
            4. print (" Here we are parsing the input expression")
            5. parsing = parser.expr(expression)
            6. print(parsing)
            7. print (" Convert the parsed object into a code object")
            8. code = parsing.compile()

            How do I extract a date from a column in Python? ›

            How do I extract the date/year/month from pandas dataframe?
            1. from datetime import datetime.
            2. def date_split(calendar):
            3. for row in calendar:
            4. new_calendar={}
            5. listdate=datetime.strptime(row['date'],'%Y-%M-%D')

            How to extract date from object in Python? ›

            In Python, you can extract date from datetime using three methods: the strftime() function, the %s operator, and the date() function. The strftime() function uses format codes to convert datetime into a string representation.

            How to convert date object to datetime in Python? ›

            How to convert date to datetime in Python?
            1. from datetime import date from datetime import datetime my_date = date. today() print("The date object:",my_date) my_time = datetime. ...
            2. import datetime my_date = datetime. ...
            3. from datetime import date from datetime import datetime my_date = date.

            What does date parse return? ›

            The Date.parse() static method parses a string representation of a date, and returns the number of milliseconds since January 1, 1970, 00:00:00 UTC or NaN if the string is unrecognized or, in some cases, contains illegal date values (e.g. 2015-02-31).

            How do you convert a date from one format to another in Python? ›

            To convert a datetime object into a string using the specified format, use datetime. strftime(format). The format codes are standard directives for specifying the format in which you want to represent datetime. The%d-%m-%Y%H:%M:%S codes, for example, convert dates to dd-mm-yyyy hh:mm:ss format.

            How do you convert a date string to another format in Python? ›

            Use datetime. strftime(format) to convert a datetime object into a string as per the corresponding format . The format codes are standard directives for mentioning in which format you want to represent datetime. For example, the %d-%m-%Y %H:%M:%S codes convert date to dd-mm-yyyy hh:mm:ss format.

            How to convert string to date object in Python? ›

            In Python, we can use the datetime. strptime() method to convert a string to a datetime object. The strptime() method takes two arguments: the string to be converted and a format string specifying the input string's format.

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