Easy Azure table storage into Pandas dataframe
Project description
PdAzTables
This is a simple library that makes it easy to get a Pandas DataFrame from a table in Azure Table Storage (Azure Data Lake's Table service)
# Import library
from pdaztables import AzTable
# Create service object with login info
table_service = AzTable('Your data lake conn string here')
# Get Pandas DataFrame!
table_service.get_table('Table name here')
Change Log
0.0.4 (08/12/2020)
- Added list_tables method.
- Added n_rows to get_table, which will get first n rows.
- Added a bunch of docstrings.
0.0.3 (08/12/2020)
- Added Manifest so building from source doesnt fail.
0.0.2 (08/12/2020)
- Added keywords, still giving this some form.
0.0.1 (04/12/2020)
- First Release
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