Pyplatform-reporting package provides function for managing hyper datasources on Tableau server.
Installation
pip install pyplatform-reporting
Authentication and environment variables
Refer to main page for documentation on authentication
Exploring the modules
from pyplatform.reporting import *
show_me()
Usage
listing Tableau server datasources and reading hyper datasource into pandas dataframe
from pyplatform.reporting import *
print(tableau_server_list_resources())
datasource_name = 'sample superstore'
hyper_filepath = tableau_server_download_hyper(datasource_name)
df= hyper_to_df(hyper_filepath)
uploading pandas dataframe as hyper datasource on Tableau server
from pyplatform.reporting import *
# df #TODO create dataframe as source
hyper_filepath = df_to_hyper(df,filepath='Sample superstore.hyper')
datasource_name = tableau_server_upload_hyper(hyper_filepath)
1 maintainer
Metadata
1 maintainer
Release files for pyplatform-reporting 2020.12.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| pyplatform-reporting-2020.12.1.tar.gz | 6.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyplatform_reporting-2020.12.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.7 kB
Release files / pyplatform-reporting-2020.12.1.tar.gz
| Download URL | pyplatform-reporting-2020.12.1.tar.gz |
|---|---|
| Size | 6.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / pyplatform_reporting-2020.12.1-py3-none-any.whl
| Download URL | pyplatform_reporting-2020.12.1-py3-none-any.whl |
|---|---|
| Size | 7.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
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