py-holiday-calendar 0.0.6

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

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

Usage

Just run the following snippet in your python env and 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.