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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:

  1. [] plt.spy() for the following:
    1. Nan values.
    2. Large numerical values.
    3. Sparse values.
  2. [] Handling Time-Series and text columns.
  3. [] Add ignore_cols to discard specific columns from visualizations.
  4. [] make the individual plotting methods static.
  5. [] verbose

Project details


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Files for visualizer, version 0.0.6
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