pywrangle 0.2.49

Auxiliary functions to clean pandas data frames

Pywrangle

Library for Python data wrangling to streamline string cleaning, identifying missing data, and tracking dataframe changes. Available on PyPI here

Install

• Python 3.6+
• numpy
• pandas

To install pywrangle, use pip:

pip install pywrangle

Import

Per convention with Python Analysis modules, import pywrangle as follows:

>>> import pywrangle as pw

String cleaning

def clean_str_columns(df: object, col_strcase_tuple: tuple) -> df:

Master function to clean string columns using col_strcase_tuple key.

Missing Data

print_nulls_per_col(df) -> None:

Calculates number of null values in each column and prints result.

Dataframe changes

History

version = "0.2.40"

• refactored code for clarity
• added display info to print_df_changes

version = "0.2.1"

• Created init file for function imports
• Documentation on importing pywrangle
• Added numpy as required package.
• Changed package requirements to greater than or equal to.

version = "0.0.1"

• Init