Dow Jones Factiva Pipelines Library
Tools for processing and analysing data from Snapshots and Streams.
Installation
To install this library, run the following commands.
$ pip install --upgrade factiva-pipelinesUsing Library services
Create a new snapshot and download to a local repository just require a few lines of code.
from factiva.pipelines import snapshot_files as sf
from factiva.pipelines import metadata as fm
all_articles = sf.read_folder('./nag6oqitd2', only_stats=True)
all_articles = fm.expand_country_codes(covid)
all_articles = fm.expand_industry_codes(covid)In the previous code a folder from a Snapshot download is read fully into a Pandas Dataframe. Then, some metadata codes are expanded into new columns with their human-readable texts.
1 maintainer
Metadata
1 maintainer
Release files for factiva-pipelines 0.0.1
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| File | Size | Uploaded | Provenance | |
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| factiva-pipelines-0.0.1.tar.gz | 4.1 kB | Without provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
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| factiva_pipelines-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.5 kB
Release files / factiva-pipelines-0.0.1.tar.gz
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| Size | 4.1 kB |
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Release files / factiva_pipelines-0.0.1-py3-none-any.whl
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| Size | 5.4 kB |
| Tags | Python 3 |
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