semvec/pypi-packages huggingface dataset:
alpha-build-git-bash-utils 0.0.5
AlphaBuild's utils for Git Bash on Windows
License: MIT

# Bash Utils for Git Bash on Windows

## Description

Utils that don't come with Git Bash by default, like `GNU Make`, `rsync`, \`zstd

## Instructions

1. Get the code in a temporary location as a one off:

   ```bash
   cd <your-repo-root>
   pip install alpha-build-git-bash-utils --target tmp/
   ```

1. Unpack the code:

   ```bash
   tar -xvf tmp/alpha_build_git_bash_utils.tar.gz
   ```

   This will put the code in `<repo-root>/build-support/git-bash-integration/`.

1. Remove the temporary download location:

   ```bash
   rm -rf tmp/
   ```

1. Run Git Bash as administrator and install the relevant utils.

   ```bash
   # from repo root
   ./build-support/git-bash-integration/install_<utility>.sh
   ```
ez-eda 0.1.3
simple EDA (Exploratory Data Analysis) visuals
License: MIT
Requires Python: >=3.9,<4.0

# ez-eda overview
- This library is a collection of simplified functions for visualizing dataframes quickly and easily
- I started this project after needing more refined heatmaps to understanding correlation

## ez correlation plot 
```
from ez_eda import ez_corr_heatmap
```
This function creates a cleaner seaborn-based heatmap to show correlations between numeric features

**Parameters**

ez_corr_heatmap(df: pd.DataFrame, color_min: float = None, color_max: float = None, color_center: float = 0)
- df: input pandas dataframe
- color_min: minimum value for heatmap scale - defaults to corr() minimum
- color_max: maximum value for heatmap scale - defaults to corr() maximum
- color_center: center for heatmap color scale - defaults to midpoint between vmin and vmax

Example Correlation Heatmap Image
![heatmap](static/example_heatmap.png)

## ez 2D PCA Plot
```
from ez_eda import ez_2d_pca_plot
```
This function creates a simplified 2D plot of the data in seaborn to show the overall structure

**Parameters**

ez_2d_pca_plot(df: pd.DataFrame, hue: str = None)
- df: input pandas dataframe
- hue: color for scatter plot (Optional)