dataplate 1.0.1

DataPlate Python API - interact with Dataplate webserver

DataPlate - Python Data Access API

Installation

pip install dataplate

Description

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

Usage using our open-source

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