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Simple date operations of difference and adding business days also adjusted for holidays.

Project description

py_holiday_calender is a Python package containing methods to manipulate date columns of pandas dataframes adjusting for business days and holidays.

https://travis-ci.com/Parasgupta44/py_holiday_calendar.svg?branch=master

Usage

Just run the following snippet in your python env ans start using the package.

pip install -v py-holiday-calendar

Docs

You can find the docs here.

Example

import pandas as pd
from py_holiday_calendar import py_holiday_calendar as check

# Making a dummy dataframe
df = {
'day': ['1/1/2018', '4/8/2019', '12/13/2019', '1/2/2019'],
'temp': [44, 45, 87, 66],
'str': ['Brake', 'Data', 'Gimp', 'data'],
'drake': ['eminem', 'marshall', 'drogon', 'eminem'],
'day1': ['1/5/2018', '4/12/2019', '12/31/2019', '1/8/2019'],
}
df = pd.DataFrame(df)

# Explicitly conveerting the columns to datetime (with which the package works)
df['day'] = pd.to_datetime(df['day'])
df['day1'] = pd.to_datetime(df['day1'])

# Pass in the arguments to cal diff between two date columns
check.calc_diff_with_holidays(df, 'day', 'day1', 'new_date')
print(df)

# Can also pass in custom business days as well as holidays
check.calc_diff_with_holidays(df, 'day', 'day1', 'new_date', workdays=[MO, TU, WE, TH])
print(df)

# Add custom business days to the provided column
check.add_bus_days_with_holidays(df, 'day', 'temp', 1)
print(df)

To-Dos

  • Add remaining methods.

  • Add the tests.

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