ufo-> python (2)

Namespace

I made it possible to collect data by specifying the target date and entry, but I don't know what kind of data each xbrl contains

In the first place, there are so many data definitions and I have no idea what is going on. So I searched everywhere.

Materials related to xbrl are uploaded from the EDINET top page and the search page of the Financial Services Agency. But I have no idea what it is. http://disclosure.edinet-fsa.go.jp/ http://www.fsa.go.jp/search/

After a lot of searching, I finally found a document that shows which taxonomi defines the items in the report. http://www.fsa.go.jp/search/20130118/03_b2.pdf

Search by taxonomy to find out more about taxonomies http://www.fsa.go.jp/search/20120625/02_j2.csv

Find the item you want from the taxonomy of the target report For example, if the total number of issued shares in the securities report →「TotalNumberOfIssuedSharesSummaryOfBusinessResults」

Securities report for each year 2010: http://resource.ufocatch.com/xbrl/edinet/ED2011022800218/S0007WF8/jpfr-asr-E01999-000-2010-12-31-01-2011-02-28.xbrl 2013: http://resource.ufocatch.com/xbrl/edinet/ED2010030100130/S0005ASQ/jpfr-asr-E01999-000-2009-12-31-01-2010-03-01.xbrl 2014: http://resource.ufocatch.com/xbrl/edinet/ED2015022700311/PublicDoc/jpcrp030000-asr-001_E01999-000_2014-12-31_01_2015-02-27.xbrl 2015: http://resource.ufocatch.com/xbrl/edinet/ED2016022900227/PublicDoc/jpcrp030000-asr-001_E01999-000_2015-12-31_01_2016-02-29.xbrl

Even if you look at the link to xbrl, it seems that it was made with IFRS taxonomy before 2013, and from 2014 Cabinet Office Ordinance taxonomy Looks like it's made of. I am very grateful that IFRS taxonomy is difficult to extract.

Postscript

Well, I also want to extract IFRS taxonomy. It's a hassle, so I decided to make a note separately.

Recommended Posts

ufo-> python (3)
ufo-> python
ufo-> python (2)
ufo-> python (4)
Python
kafka python
Python basics ⑤
python + lottery 6
Python Summary
Built-in python
Python comprehension
Python technique
Studying python
Python 2.7 Countdown
Python memorandum
Python FlowFishMaster
Python service
python tips
python function ①
Python basics
Python memo
Python comprehension
install python
Python Singleton
Python basics ④
Python Memorandum 2
python memo
Python Jinja2
Python increment
atCoder 173 Python
[Python] function
Python installation
python tips
Try python
Python memo
Python iterative
Python2 + word2vec
Python functions
Python tutorial
python underscore
Python summary
Start python
[Python] Sort
Note: Python
Python basics ③
python log
Python basics
[Scraping] Python scraping
Python update (2.6-> 2.7)
python memo
Python memorandum
Python # sort
Python nslookup
python learning
[Rpmbuild] Python 3.7.3.
Prorate Python (1)
Download python
python memorandum
Python memo
started python
Python #JSON