RR-Custom-Python-Tools 0.0.8

Frequently used python methods/libraries.

Custom Python Library

Custom library for frequent used methods/libraries.

Installation : pip install RR-Custom-Python-Tools

License: GPLv3+

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DateManager

Usage

To use the DateManager class, you need to import it and create an instance:

from date_manager.date_manager import DateManager

date_manager = DateManager()

timestamp_to_date(dataframe: pd.DataFrame) -> pd.DataFrame

Converts datetime columns in a DataFrame to date type.

Arguments:

dataframe (pd.DataFrame): The DataFrame containing the datetime columns. Returns:

pd.DataFrame: The input DataFrame with the datetime columns converted to date type. Example:

python Copy code import pandas as pd

Create a sample DataFrame

data = {'datetime_column': ['2022-01-01', '2022-01-02', '2022-01-03']} df = pd.DataFrame(data) df['datetime_column'] = pd.to_datetime(df['datetime_column'])

Convert datetime columns to date

converted_df = date_manager.timestamp_to_date(df) timestamp_to_date_column(column: str, dataframe: pd.DataFrame) -> pd.DataFrame Converts a specific datetime column in a DataFrame to date type.

Arguments:

column (str): The name of the datetime column to convert. dataframe (pd.DataFrame): The DataFrame containing the datetime column. Returns:

pd.DataFrame: The input DataFrame with the specified datetime column converted to date type. Raises:

ValueError: If the input DataFrame does not contain the specified datetime column. Example:

python Copy code import pandas as pd

Create a sample DataFrame

data = {'datetime_column': ['2022-01-01', '2022-01-02', '2022-01-03']} df = pd.DataFrame(data) df['datetime_column'] = pd.to_datetime(df['datetime_column'])

Convert specific datetime column to date

converted_df = date_manager.timestamp_to_date_column('datetime_column', df) Logging The DateManager class utilizes a logging mechanism provided by log_manager for capturing important events during the conversion process. Ensure you have the appropriate logger configuration to capture and manage log messages effectively.

Dependencies pandas: A powerful data manipulation library in Python used extensively for data analysis and manipulation. Author This module is maintained by [Your Name].

Feel free to contribute or report issues through GitHub [link to your GitHub repository].