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, vmin: float = None, vmax: float = None, center: float = 0)

df: input pandas dataframe
vmin: minimum value for heatmap scale - defaults to corr() minimum
vmax: maximum value for heatmap scale - defaults to corr() maximum
center: center for heatmap color scale - defaults to midpoint between vmin and vmax

Example Correlation Heatmap Image

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)