Библиотека для Analytic Workspace
Получение токена
Перейдите по ссылке https://aw.example.ru/data-master/get-token (вместо https://aw.example.ru/ укажите адрес вашего сервера Analytic Workspace).
Значение токена лучше всего сохранить в отдельном файл или поместить в переменную окружения AW_DATA_TOKEN.
Пример использования
from aw_client import Session
with open('aw_token', 'rt') as f:
aw_token = f.read()
session = Session(token=aw_token, aw_url='https://aw.example.ru')
# Если токен доступа указан в переменной окружения AW_DATA_TOKEN, то объект сессии можно создавать
# без явного указания параметра token: session = Session(aw_url='https://aw.example.ru')
df = session.load(model_id=123) # df: pandas.DataFrame
display(df)
1 maintainer
Metadata
1 maintainer
Release files for analytic_workspace_client 1.31.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| analytic_workspace_client-1.31.0.tar.gz | 19.0 kB | Without provenance | Details |
Release files / analytic_workspace_client-1.31.0.tar.gz
| Download URL | analytic_workspace_client-1.31.0.tar.gz |
|---|---|
| Size | 19.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1081499e1c537ec06a244fa5f8c3bbd71f858ab0a8c3c0b42254d29188d3427f
|
|
BLAKE2b-256 checksum How to use checksums |
456baf6172696397d2025e7386509e4fad3ad432f25b7d4609cf20d1669fc524
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.12
|
Security for analytic_workspace_client 1.31.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
