Skip to main content

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

Metadata

Release files for visualizer 0.0.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for visualizer 0.0.5
File Size Uploaded
visualizer-0.0.5.tar.gz 9.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for visualizer 0.0.5
File Interpreter ABI Platform
visualizer-0.0.5-py3-none-any.whl Python 3 none any Details

Total release size: 19.5 kB

Release files / visualizer-0.0.5.tar.gz

Download URL visualizer-0.0.5.tar.gz
Size 9.8 kB
Tags Source
SHA-256 checksum
How to use checksums
88606034d3396d1f520c069b1f90d9d458da09c1ef72785f9eeb270b92187a78
BLAKE2b-256 checksum
How to use checksums
9f08d7d5c90bdaeef198d9106143fa5d88890c864c6bfcdef7ab63cc0c1e9bdd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.7

Release files / visualizer-0.0.5-py3-none-any.whl

Download URL visualizer-0.0.5-py3-none-any.whl
Size 9.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
73ed39caec38c838bb5c2a7c6f982a8ef2aabc48fe0f861821b7e6c50006826d
BLAKE2b-256 checksum
How to use checksums
cef7aae584162a4e32b0c57c836a9bf738c07d6f4048e09c9f9c375e8270e7ee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.7

Release history Release notifications | RSS feed

0.0.10

2 release files

0.0.9

2 release files

0.0.8

2 release files

0.0.7

2 release files

0.0.6

2 release files

This release

0.0.5 This release

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page