ez-eda 0.1.3

simple EDA (Exploratory Data Analysis) visuals

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

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)