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
1 maintainer
Release files for dataplate 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dataplate-1.0.1.tar.gz | 22.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dataplate-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:44.2 kB
Release files / dataplate-1.0.1.tar.gz
| Download URL | dataplate-1.0.1.tar.gz |
|---|---|
| Size | 22.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.5
|
Release files / dataplate-1.0.1-py3-none-any.whl
| Download URL | dataplate-1.0.1-py3-none-any.whl |
|---|---|
| Size | 21.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.5
|
