DataPlate Python API - interact with Dataplate webserver
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for dataplate-0.9.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a4829455994c6465fa821b98681789cc3f96fa12953edb402041685d74cb1ddf |
|
MD5 | 8da14df3f3f7f1a37ead4aa3d0175b3f |
|
BLAKE2b-256 | d65ab640178699b52d69761f2d29b33bc916dc6461ec93c1bfca32c5092e8e37 |