Gen Cal

Generates a calendar for a customized period of time.

It also has the option to include holidays for multiple countries once you create a Holiday API api key. You can create a free key for historical generation or, with a paid key, you can obtain holiday data for future dates (I do not have any affiliation with Holiday API).

Your API key can be set as an environment variable assigned to API_KEY or as an argument when initializing the Calendar object.

The calendar can be used within python as a pandas DataFrame or you can specify a destination path to download the dataset.

Contributions welcome!

Directions

I haven't had the chance to upload this to pypi yet, so for now, just clone the repo and follow the directions in the Example Usage section below.

GenCal requires the following libraries:

It is recommended to create a new virtual environment to house all of these dependencies. If you need help creating a virtual environment, you can follow this guide. To install the above packages, run the following in terminal:

pip install -r requirements.txt

To make things easier, you can also use Pipenv. Once installed, navigate to the repo and run the following:

pipenv install

To get started, run the following in your terminal (if you don't have pipenv just use python on the last line):

git clone https://github.com/Marto32/gencal.git
export PATH=$PATH:$(pwd)/gencal
cd gencal
pipenv run python

Once in the python shell you can use the library as shown below.

Example Usage

from generate_calendar import Calendar

start_date = '2013-01-01'
end_date = '2016-01-01'
api_key = 'YOUR_HOLIDAY_API_KEY_HERE'

calendar = Calendar(start_date, end_date, include_holidays=True, holiday_api_key=api_key, country='US')

data_frame = calendar.generate()
data_frame.head()

Output:

date	year	month	day	weekday	weekday_name	weeknumber	is_weekend	is_business_day	is_holiday	holiday_name
2013-01-01	2013	1	1	2	Tuesday	1	False	False	True	New Year's Day
2013-01-02	2013	1	2	3	Wednesday	1	False	True	False	NaN
2013-01-03	2013	1	3	4	Thursday	1	False	True	False	NaN
2013-01-04	2013	1	4	5	Friday	1	True	False	False	NaN
2013-01-05	2013	1	5	6	Saturday	1	True	False	False	NaN

Another option would have been to write directly to disk:

calendar = Calendar(start_date, end_date, include_holidays=True, holiday_api_key=api_key, country='US')

calendar.generate(dest='~/calendar_data.csv', sep=',')

Field Descriptions

Field	Description
date	The date in YYYY-MM-DD format
year	The year part of the date in YYYY format
month	The month part of the date in M format
day	The day part of the date in D format
weekday	The iso weekday index of the date (1 - 7)
weekday_name	The name of the weekday
weeknumber	The number of the week in the year
is_weekend	Boolean, whether or not the date falls on Sat or Sun.
is_business_day	Boolean, if the date is not on a weekend or public holiday, it's True
is_holiday	Boolean, denoting whether or not the date falls on a public holiday (if api keys are provided)
holiday_name	Holiday name (if api keys are provided)