https://github.com/alastairrushworth/inspectpd

📈 📊 Tools for Exploring Pandas Data Frames
https://github.com/alastairrushworth/inspectpd

categorical-data-visualization correlation dataframe eda exploratory-data-analysis pandas python

Last synced: 3 months ago
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📈 📊 Tools for Exploring Pandas Data Frames

• Host: GitHub
• URL: https://github.com/alastairrushworth/inspectpd
• Owner: alastairrushworth
• Created: 2019-10-13T14:35:34.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2022-08-13T13:29:39.000Z (over 2 years ago)
• Last Synced: 2023-03-05T01:49:03.026Z (almost 2 years ago)
• Topics: categorical-data-visualization, correlation, dataframe, eda, exploratory-data-analysis, pandas, python
• Language: Python
• Homepage:
• Size: 106 KB
• Stars: 6
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# inspectpd

## Overview

`inspectpd` is collection of utilities for columnwise summary,

comparison and visualisation of `pandas` dataframes. The package patches

in the following methods for pandas objects:

  - [`.inspect_types()`](#column-types) summary of column types

  - [`.inspect_mem()`](#memory-usage) summary of memory usage of columns

  - [`.inspect_na()`](#missing-values) columnwise prevalence of missing

    values

  - [`.inspect_cor()`](#correlation) correlation coefficients of numeric

    columns

  - [`.inspect_imb()`](#feature-imbalance) feature imbalance of

    non-numeric

  - [`.inspect_num()`](#numeric-summaries) summaries of numeric columns

  - [`.inspect_cat()`](#categorical-levels) summaries of non-numeric

## Installation

You can install `inspectpd` using `pip`:

``` r

pip install git+https://github.com/alastairrushworth/inspectpd

```

## Comments? Suggestions? Issues?

The package is in early stages of development, could break and will

change rapidly. A future version will be released to PyPi. In the

meantime, any feedback is definitely welcome\! Feel free to write a

github issue or send me a message on

[twitter](https://twitter.com/rushworth_a).