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vandas

This is a simple library to add type constraints to pandas Series. There are several reasons why you might want to do this:

  • You want to ensure that the data in your Series is of a certain type.
  • You want to ensure that the data in your Series is clean and consistent.
  • You want to ensure that the data in your Series is correct and valid.
  • You want to convert the data in your Series to a certain unit.

In the context of vantage6, this is useful for:

  • Users can only select valid variables (types) when creating a task.
  • Data extraction jobs can be validated against the expected types.
  • The users has more context about the data they are working with.
  • The algorithm can convert the data to the correct unit it requires.
  • Analysis outputs can display the correct unit.
  • Missing categories can now be counted as 0.

Release files for vantage6-types 0.1.0

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Source distribution (sdist)

Source distribution for vantage6-types 0.1.0
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vantage6_types-0.1.0.tar.gz 10.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for vantage6-types 0.1.0
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vantage6_types-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 20.7 kB

Release files / vantage6_types-0.1.0.tar.gz

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Size 10.5 kB
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Release files / vantage6_types-0.1.0-py3-none-any.whl

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