leadtimeutils 0.1.1

a utility module for lead time analysis in procurement & logistic division mineral alam abadi

Lead Time Utils

a utility module for lead time analysis, specifically designed for handling business logic related to date calculations and constraints internally in procurement & logistic division mineral alam abadi.

Installation

pip install leadtimeutils

Usage

import pandas as pd
import numpy as np
import leadtimeutils as ltu

Available Functions

has_thursday_after_5_days(start_date, end_date)

checks if thursday exists at least 5 days after the start date and before the end date.

has_thursday_after_5_days_vectorized(df, start_col, end_col)

fast vectorized version for entire DataFrames.

get_days_between(df, start_col, end_col)

returns the list of day names between two dates for each row.

Scalar check

start = pd.Timestamp("2023-10-01")
end = pd.Timestamp("2023-10-15")
result = ltu.has_thursday_after_5_days(start, end)
print(result)

Vectorized check

df = pd.DataFrame({
    'start': [pd.Timestamp("2023-10-01")],
    'end': [pd.Timestamp("2023-10-15")]
})
results = ltu.has_thursday_after_5_days_vectorized(df, 'start', 'end')
print(results)