Pyplatform-datalake package provides functions for Google Cloud Storage and Microsoft Storage services.
Installation
pip install pyplatform-datalake
Authentication and environment variables
Refer to main page for documentation on authentication
Exploring the modules
from pyplatform.datalake import *
show_me()
Usage
uploading in-memory data to Google Cloud Storage
import pyplatform.datalake as dlk
from io import BytesIO
# df #TODO create dataframe as source
in_mem_file = BytesIO()
df.to_excel(in_mem_file,index=False)
in_mem_file.seek(0)
dlk.gcs_upload_blob(in_mem_file,bucket_id='bucket',blobname='test.xlsx')
downloading and loading trained forecasting model from Google Cloud Storage
import pyplatform.datalake as dlk
from io import BytesIO
import pickle
gcs_uri = 'gs://bucket/folder_name/model_name'
model_name="fbprophet_forecast_daily"
dlk.gcs_download_blob(gcs_uri,filepath=model_name)
with open(model_name,"rb") as model:
my_model=pickle.load(model)
1 maintainer
Metadata
1 maintainer
Release files for pyplatform-datalake 2020.12.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| pyplatform-datalake-2020.12.1.tar.gz | 6.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyplatform_datalake-2020.12.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.2 kB
Release files / pyplatform-datalake-2020.12.1.tar.gz
| Download URL | pyplatform-datalake-2020.12.1.tar.gz |
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| Size | 6.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / pyplatform_datalake-2020.12.1-py3-none-any.whl
| Download URL | pyplatform_datalake-2020.12.1-py3-none-any.whl |
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| Size | 7.3 kB |
| Tags | Python 3 |
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