...

raw_df = c3.BlockInfo.fetch(spec={
    'limit': -1,
    'filter': 'exists(prp_bf_lr)',
    'order': 'descending(id)',
    'include': 'pct_i_l,pct_t_l,prp_res_lr,pop10_ha_lr,hu10_ha_lr,eroom_ha_lr,med10_age,prp_bf_lr'
})

More examples of fetch commands can be found in our examples here:

• https://github.com/c3aidti/casesExample
• https://github.com/c3aidti/genomicsExample
• https://github.com/c3aidti/HouseCoverageExample
• https://github.com/c3aidti/VaccineListing
• https://github.com/c3aidti/EpidemiologyExample

Here is a list of C3 documentation mentioning fetching:

...

Converting Fetch results to usable forms in Jupyter Notebook

For most data analysis situations, Fetch Results need to be massaged a little bit

A Code Example in Jupyter Notebook:

...

Users can operations like after you convert the c3 Dataset into the pandas dataframe.

ExpressionEngineFunctions

TODO:

Executing Metrics on Time series data

TODO:

Constructing, Training, and Scoring a Machine Learning Model:

Code example using both Python and JS: https://developer.c3.ai/docs/7.12.0/topic/mlpipe-code-examples#construct-tensorflowpipe