https://github.com/igorbenav/dexter

Data Exploration Terser

https://github.com/igorbenav/dexter

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.5%) to scientific vocabulary

Keywords

data-analysis data-science eda exploratory-data-analysis pandas
Last synced: 5 months ago · JSON representation

Repository

Data Exploration Terser

Basic Info
  • Host: GitHub
  • Owner: igorbenav
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 481 KB
Statistics
  • Stars: 9
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 3
Topics
data-analysis data-science eda exploratory-data-analysis pandas
Created almost 5 years ago · Last pushed about 2 years ago
Metadata Files
Readme License

README.md

dexter

PyPI version GitHub license Documentation Status


data exploration terser

What is dexter?

dexter is a lightweight Python package built on top of numpy and pandas that allows fast data exploration for multiple structured table files in a folder. It's a high-level tool suitable for a first contact with a dataset composed of multiple dataframes.

Features

  • Importing multiple table files with readm_csv()
  • Saving DataFrames and Names with the FrameMap class
  • Applying pandas methods to multiple DataFrames at once

Installing

PyPI: sh pip install dexter

https://pypi.org/project/dexter/

Usage

Importing dexter: python import dexter as dxt

Reading multiple dataframes in a folder: python dataframes = dxt.readm_csv("./folder/")

Displaying results: python dataframes.display() Out:

df1
col1 col2 col3
0 value1 $3
1 value2 $5
2 value3 $7
df2
first second third
0 one 17%
1 two 19%
2 three 23%


Names and Frames python names = dataframes.names frames = dataframes.frames

Multiple Dataframes Types python dataframes.dtypes()

Multiple Missing Values python dataframes.multiple_missing()

Multiple Descriptions python dataframes.describe()

For more concrete examples, check the notebook

Contributing

  1. Fork it (https://github.com/igormagalhaesr/dexter)
  2. Create your feature branch (git checkout -b feature/fooBar)
  3. Commit your changes (git commit -am 'Add some fooBar')
  4. Push to the branch (git push origin feature/fooBar)
  5. Create a new Pull Request

Dependencies

License

Distributed under the BSD 3 license. See LICENSE.txt for more information.

Contact

Igor Magalhaes – @igormagalhaesr – igormagalhaesr@gmail.com

github.com/igormagalhaesr

Owner

  • Name: Igor Benav
  • Login: igorbenav
  • Kind: user
  • Location: Rio de Janeiro
  • Company: @purple-metrics

Working with data and back-end.

GitHub Events

Total
Last Year

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 0
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 31 minutes
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
  • lucasfcnunes (2)
Top Labels
Issue Labels
Pull Request Labels
documentation (1)

Dependencies

dexter/requirements.txt pypi
  • ipython >=7.27.0
  • numpy >=1.20.1
  • pandas >=1.2.4
setup.py pypi