Skip to main content

Data Profile Viewer tool. Enables the exploration of data profile in Jupyter Notebooks

Project description

DataProfileViewer

Data profile viewer is compatible with Jupyter Notebooks. Supports the metadata format generated by datamart-profiler library.

System screen

Install via pip

pip install data-profile-viewer
pip install datamart-profiler

Demo

In Jupyter Notebook:

import DataProfileViewer
data = DataProfileViewer.get_lifeexpectancy_data()
DataProfileViewer.plot_data_summary(data)

Data Profile Exploration

import DataProfileViewer
import datamart_profiler

In a jupyter notebook, load the data

metadata = datamart_profiler.process_dataset('lifeexpectancydata.csv', include_sample=True, plots=True)

and then plot it using:

DataProfileViewer.plot_data_summary(metadata)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

data-profile-viewer-0.2.0.tar.gz (1.5 MB view details)

Uploaded Source

Built Distribution

data_profile_viewer-0.2.0-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file data-profile-viewer-0.2.0.tar.gz.

File metadata

  • Download URL: data-profile-viewer-0.2.0.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.4.0 requests-toolbelt/0.8.0 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for data-profile-viewer-0.2.0.tar.gz
Algorithm Hash digest
SHA256 5defc743ef54c19d8f03f54fdbd6b6f4bccf4419eeffc8780f1f55050ab71608
MD5 4facf7053073e1cc1af00e3aebd46a3c
BLAKE2b-256 cceeb1baca5089f5c68bbc07a61639724ad8e518974a04422a88c2f5fc0ec24d

See more details on using hashes here.

File details

Details for the file data_profile_viewer-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: data_profile_viewer-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.4.0 requests-toolbelt/0.8.0 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for data_profile_viewer-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 fc1bdf51af8c03620bacddd03aa715676ec6bfe5bf4d918709e21aefb88a8dec
MD5 ec1f45f7e2980f362c556d9aa9397a96
BLAKE2b-256 a140193548b5735dd0ed99a578690a2e8b7e39ca1f7130fd62e009ce28b3f397

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page