share-df 0.1.2

Share and Edit Pandas Dataframes with a Link!

Notes

• The package is not working on Google Collab currently, but is working for local scripting or notebooks
• The package requires using a .env that is supplied with an ngrok auth token. This is free and takes less than a minute here!

Functionality

On the Dev Side

• pip install ✅
• one command to generate link to send ✅
• changes made by client are recieved back ✅

On the Client Side

• OAuth for easy google based login ✅
• Seamless UI to modify the dataframe ✅
• Send the results back with the click of a button ✅

Future Functionality

• True Asynchronicity with ipyparallel
• Code Recreation (instead of overwriting the df just solve the code needed)

Examples

    df = pd.DataFrame({
        'Name': ['John', 'Alice', 'Bob', 'Carol'],
        'Age': [25, 30, 35, 28],
        'City': ['New York', 'London', 'Paris', 'Tokyo'],
        'Salary': [50000, 60000, 75000, 65000]
    })
    df2 = pandaBear(df)
    print(df2)