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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

0.0.6 (21/12/2020)

  • (Very unstable!) First basic version of set table. Optional creation.
  • Fix to get_table.

0.0.5 (09/12/2020)

  • Added columns and filter parameters to get_table.

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

Project details


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