pip install dataplate
This client communicates with DataPlate platform servers from within your Data-Science development environment For more info: DataPlate
See also our JupyterLab extension: DataPlate-Lab
First:
Install DataPlate Portal Web service and navigate to "API Documentation" for usage instructions
More details:
DataPlate() constructor accepts the following parameters:
env - Environment to retrieve the Data from ('dev' or 'prd'). access_key - Alternative method for supplying your access key. dataplate_ur - Alternative method for supplying DataPlate Portal URI.
Get the access key from Dataplate Web-service portal (Navigate in Menu to "Private access key"):
This example shows how to run a query, and return results as Pandas DataFrame object:
from dataplate.client import DataPlate
dataplate = DataPlate()
df = dataplate.query_to_df('''
SELECT * FROM myTable WHERE `date`='20200218' AND hour=12
''')
For more instructions, please refer to the DataPlate Github
FAQs
DataPlate Python API - interact with Dataplate webserver
We found that dataplate demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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