Library for querying DDB infrastructure
Project description
Wrapper for the DDB API
- Query the DDB API for Newspapers
- returns a Pandas Dataframe Object
Usage:
from ddbapi import zp_issues, zp_pages, list_column, filter
df = zp_issues(publication_date='[1600-09-01T12:00:00Z TO 1699-12-31T12:00:00Z]')
print(df)
zp_issues
- Returns a DataFrame containing Data on Newspaper-Issues.
- Use any combination of these keyword arguments:
language: Use ISO Codes, currentlyger,eng,fre,spa,itaplace_of_distribution: Search inside "Verbreitungsort", use a list for multiple search-wordspublication_date: Get newspapers by publication date. Use the following format:1900-12-31T12:00:00Zfor a specific date, use square brackets andTObetween two dates to get a daterange like so:publication_date='[1935-09-01T12:00:00Z TO 1935-09-22T12:00:00Z]'- time is always12:00:00Z.zdb_id: Search by ZDB-IDprovider: Search by Data Providerpaper_title: Search inside the title of the Newspaper
zp_pages
- Returns a DataFrame containing Data on Newspaper-Pages.
- Use any combination of these keyword arguments:
plainpagefulltext: Search inside the OCR Fulltext (Use a list for multiple search-words)language: Use ISO Codes, currentlyger,eng,fre,spa,itaplace_of_distribution: Search inside "Verbreitungsort", use a list for multiple search-wordspublication_date: Get newspapers by publication date. Use the following format:1900-12-31T12:00:00Zfor a specific date, use square brackets andTObetween two dates to get a daterange like so:publication_date='[1935-09-01T12:00:00Z TO 1935-09-22T12:00:00Z]'- time is always12:00:00Z.zdb_id: Search by ZDB-IDprovider: Search by Data Providerpaper_title: Search inside the title of the Newspaper
- Values of keyword arguments may contain lists to combine queries.
- Use
list_columnandfilterto perform usual Pandas Operations on list-containing Columns (eg.list_column(df['place_of_distribution']).value_counts()orfilter('Altona', 'place_of_distribution', df))
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