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nestauk / dap_aria_mapping

Mapping technology innovation to support The Advanced Research and Innovation Agency (ARIA)
MIT License
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61 volume pipeline #65

Closed emily-bicks closed 1 year ago

emily-bicks commented 1 year ago

Description

Two main modifications in this PR Pipeline to calculate number of docs per topic/domain/area per year (runs in about 20 minutes): pipelines/app_tables/emergence_table.py

Builds emergence and alignment charts in horizon scanner analysis/app/pages/1_Horizon_Scanner

to run app: streamlit run analysis/app/Home.py

Fixes #61

beingkk commented 1 year ago

Oh, and I managed to run the app on my machine, no issues there.

It does looks like some of the time series are somewhat jagged - I guess because of duplicate topic names, so no action needed on that in this PR as far as I can tell.

beingkk commented 1 year ago

Sounds good!

On Tue, 14 Mar 2023 at 11:32, emily-bicks @.***> wrote:

@.**** commented on this pull request.

In dap_aria_mapping/pipeline/app_tables/emergence_table.py https://github.com/nestauk/dap_aria_mapping/pull/65#discussion_r1135403403 :

+from dap_aria_mapping import BUCKET_NAME, logger + +if name == "main": +

  • logger.info("Loading patent data")
  • patents_with_topics = get_patent_topics(tax = "cooccur", level = 3)
  • logger.info("Transforming patent dictionary to polars df")
  • patents_with_topics_df = pl.DataFrame(
  • pd.DataFrame.from_dict(patents_with_topics, orient='index'
  • ).T.unstack().dropna().reset_index(drop=True, level=1).to_frame().reset_index())
  • patents_with_topics_df.columns = ["id", "topic"]
  • logger.info("Loading patent date data")
  • patent_dates = pl.DataFrame(get_patents()).select(
  • ["publication_number", "publication_date"]

Hmm - maybe we should have this conversation on standup?

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