Automate the process of visualization
Project description
Visualizer:
A Python package that automate the process of visualization in the data science pipeline.
Installation:
pip install visualizer
Usage:
import pandas as pd
from visualizer import Visualizer
# Set the paramters
df = pd.read_csv("path/to/your/csv/file")
target_col = df['target_col']
path = "path/where/you/want/to/save/the/images"
# Set the visualizer's parameters.
vis = Visualizer(df=df, path=path, target_col=target_col)
# Let the visualizer do all the work for you.
vis.visualizer_all()
Further Ideas:
- [] plt.spy() for the following:
- Nan values.
- Large numerical values.
- Sparse values.
- [] Handling Time-Series and text columns.
- [] Add ignore_cols to discard specific columns from visualizations.
- [] make the individual plotting methods static.
- [] verbose
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