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CUDS to Pandas DataFrames #290

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pablo-de-andres opened this issue Jun 22, 2020 · 3 comments
Open

CUDS to Pandas DataFrames #290

pablo-de-andres opened this issue Jun 22, 2020 · 3 comments
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@urbanmatthias
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📈 performance 🌱 new feature Solving the issue involves the incorporation of a new feature. 💬 discussion The idea is not mature enough to result in an implementation, and needs further discussion.

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In GitLab by @yoavnash on Apr 8, 2020, 20:23

For downstream applications, there is a need to export tabular data represented as CUDS objects to Pandas DataFrames and vice versa, namely for ML tasks. How should this be done?

Related to #235 and #258.

Comments:

  1. Why not use SPARQL since it returns a table as a query result?
    • Could this way of action handle multiple large tables of floats?
    • Not everyone knows/wants to use SPARQL
  2. It would be very convenient to have an OSP-core function like so: df = to_dataframe(dataset) where dataset is a CUDS object.
  3. To support this conversion, then one way to do it would be to map column headers to ontology concepts linked in a certain pattern, and then the rows would be individuals that follow that pattern.
  4. For efficiency reasons (time and space), it makes sense to store the tabular data as a dataframe, and not as regular CUDS objects. However, the user should be oblivious to this.
@pablo-de-andres pablo-de-andres added 💬 discussion The idea is not mature enough to result in an implementation, and needs further discussion. 🌱 new feature Solving the issue involves the incorporation of a new feature. 📈 performance labels Jun 22, 2020
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In GitLab by @yoavnash on Apr 8, 2020, 20:26

changed the description

@pablo-de-andres
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In GitLab by @yoavnash on Apr 8, 2020, 20:43

changed the description

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yoavnash commented Apr 7, 2021

References:

@yoavnash yoavnash mentioned this issue May 11, 2021
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📈 performance 🌱 new feature Solving the issue involves the incorporation of a new feature. 💬 discussion The idea is not mature enough to result in an implementation, and needs further discussion.
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