61 volume pipeline

[emily-bicks]

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]

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 <#65 (comment)> : > +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? — Reply to this email directly, view it on GitHub <#65 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AHDWGHN4EODEYD5TCDGRAE3W4BJLNANCNFSM6AAAAAAVUZ3LXI> . You are receiving this because your review was requested.Message ID: ***@***.***>

-- *Karlis Kanders <https://www.nesta.org.uk/team/karlis-kanders/> *(he/him) Senior Data Foresight Lead Nesta - Discovery Hub / Data Analytics Practice

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[ampudia19]

Great stuff Emily! Very minor things (mostly me learning Polars & cacheing with non-hashable objects, so feel free to ignore and merge)