cnparser is a parser library of Corporate Number Publication Site data.
Project description
cnparser
cnparser is a python library for loading and enrichment Corporate Number Publication Site data that is provided from National Tax Agency Japan. cnparser only support to parse latest data now.
Installation
cnparser is available on pip installation.
$ python -m pip install cnparser
GitHub Install
Installing the latest version from GitHub:
$ git clone https://github.com/new-village/cnparser
$ cd cnparser
$ python setup.py install
Usage
This section demonstrates how to use this library to load and process data from the National Tax Agency's Corporate Number Publication Site.
Direct Data Loading
To download data for a specific prefecture, use the load
function. By passing the prefecture name as an argument, you can obtain a DataFrame containing data for that prefecture.If you wish to download data for a specific prefecture, you must specify the prefecture name in Roman characters (list of the supported prefectures).
To execute the load
function without specifying any arguments, data for all prefectures across Japan will be downloaded.
>>> import cnparser
>>> df = cnparser.load("Shimane")
CSV Data Loading
If you already have a downloaded CSV file, use the read_csv
function. By passing the file path as an argument, you can obtain a DataFrame with headers from the CSV data.
>>> import cnparser
>>> df = cnparser.read_csv("path/to/data.csv")
Data Enrichment Functionality
The enrich
function adds a standardized furigana column std_furigana
to the DataFrame. It processes data entry by converting name
to furigana.
>>> import cnparser
>>> df = cnparser.enrich(df)
Tools
import_dict.py: Bilingual Emacspeak Project (BEP) Dictionary Import Tool
This tool imports the BEP dictionary and generates a dictionary file for use with cnparser. It processes the bilingual mappings from English to Kana, ensuring that cnparser can accurately handle and transform data involving these language elements.
$ cd /home/<USER>/analysis
$ python enrich.py <FILE_PATH>
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