workalendar | Worldwide holidays and workdays computational toolkit
kandi X-RAY | workalendar Summary
kandi X-RAY | workalendar Summary
Workalendar is a Python module that offers classes able to handle calendars, list legal / religious holidays and gives working-day-related computation functions.
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workalendar Key Features
workalendar Examples and Code Snippets
Community Discussions
Trending Discussions on workalendar
QUESTION
I am trying to create a loop (or the most efficient way) to iterate over a series of calendars in R (or Python!) to post ALL holidays (ideally it would be all business days, but it seems like I might design two parts to this - as I would like weekends flagged). The goal is to have a dataframe that looks like:
...ANSWER
Answered 2021-Nov-22 at 12:52Use lapply
to get list of dates for each value in calendars
.
QUESTION
trying to set two dates: End Date and Begin Date. Neither can be on weekend and neither can be on Holiday. End date has to be the most recent business date (t-1) and Begin Date has to be the most recent business date before End date (t-2). The list of Holidays has to be maintained manually, seems all other resources available (Holiday library, workalendar library) aren't sufficient.
I tried and got stuck here:
...ANSWER
Answered 2021-Oct-15 at 18:10So this work for me. One downside is the list of Holidays have to be manually updated when required.
QUESTION
I have a pandas dataframe object df
for the following dates:
ANSWER
Answered 2021-Jun-20 at 23:59Try this solution using lambda
function:
QUESTION
Hello world,
I would like to retrieve for each month the number of working days.
Here is my dataset
...ANSWER
Answered 2020-Jan-10 at 10:49Convert both columns to datetimes by to_datetime
and then use lambda
function by DataFrame.apply
:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install workalendar
You can use workalendar like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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