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
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)
| File | Size | Uploaded | |
|---|---|---|---|
| visualizer-0.0.5.tar.gz | 9.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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 |
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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
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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
|