https://github.com/cmudig/profileinline

https://github.com/cmudig/profileinline

Science Score: 13.0%

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  • codemeta.json file
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  • Scientific vocabulary similarity
    Low similarity (11.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: cmudig
  • License: bsd-3-clause
  • Language: Svelte
  • Default Branch: main
  • Size: 521 KB
Statistics
  • Stars: 4
  • Watchers: 4
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Created over 3 years ago · Last pushed over 3 years ago
Metadata Files
Readme License

README.md

ProfileInline

Inline data profiles to help you understand your data with one function.

Check out AutoProfiler for a version that updates automatically when you change your data.

Installation

You can install using pip:

bash pip install diginlineprofiler

Usage

Import in a Jupyter notebook or lab then pass in any pandas dataframe.

```python from diginlineprofiler import Visualizer as plot # here we rename to plot but can be anything

df must be a pandas dataframe!

plot(df) ```

screenshot of InlineProfiler

Development Installation

Create a dev environment:

bash conda create -n diginlineprofiler-dev -c conda-forge nodejs yarn python jupyterlab jupyter-packaging conda activate diginlineprofiler-dev

Install the python. This will also build the TS package.

bash pip install -e .

When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command:

jupyter labextension develop --overwrite . npm run build

How to see your changes

Jupyter Lab:

If you use JupyterLab to develop then you can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the widget.

```bash

Watch the source directory in one terminal, automatically rebuilding when needed

npm run watch

Run JupyterLab in another terminal

jupyter lab ```

After a change wait for the build to finish and then refresh your browser and the changes should take effect.

Python:

If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.

Owner

  • Name: CMU Data Interaction Group
  • Login: cmudig
  • Kind: organization
  • Location: Pittsburgh, PA

People, Visualization, Analysis, Machine Learning

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 2.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • 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
  • Renukumar-R (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • npm 7 last-month
    • pypi 23 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 6
  • Total maintainers: 1
pypi.org: diginlineprofiler

Inline data profiles for pandas dataframes in jupyter

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 23 Last month
Rankings
Dependent packages count: 6.6%
Average: 18.6%
Dependent repos count: 30.6%
Maintainers (1)
Last synced: 11 months ago
npmjs.org: diginlineprofiler

Inline data profiles for pandas dataframes in jupyter

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 7 Last month
Rankings
Dependent repos count: 25.3%
Average: 29.1%
Dependent packages count: 32.9%
Maintainers (1)
Last synced: 11 months ago