Japanese Postal Code Data
Posuto is a wrapper for the postal code data distributed by Japan Post. It makes mapping Japanese postal codes to addresses easier than working with the raw CSV.
- multi-line neighborhoods are joined
- parenthetical notes are put in a separate field
- change reasons are converted from flags to labels
- romaji and kana records are unified for easy access
- codes with multiple areas provide a list of alternates
pip install posuto
import posuto as 〒 🗼 = 〒.get('〒105-0011') print(🗼) # "東京都港区芝公園" print(🗼.prefecture) # "東京都" print(🗼.kana) # "トウキョウトミナトクシバコウエン" print(🗼.romaji) # "Tokyo To, Minato Ku, Shibakoen" print(🗼.note) # None
Note: Unfortunately 〒 and 🗼 are not valid identifiers in Python, so the above is pseudocode. See examples/sample.py for an executable version.
You can provide a postal code with basic formatting, and postal data will be returned as a named tuple with a few convenience functions. Read on for details of how quirks in the original data are handled.
The original CSV files are managed in source control here but are not distributed as part of the pip package. Instead, the CSV is converted to JSON, which is then gzipped and included in the package distribution. That means most of the complexity in code in this package is actually in the build and not at runtime.
The postal code data has many irregularities and strange parts. This explains how they're dealt with.
As another note, in normal usage posuto doesn't require any dependencies. When actually building the postal data from the raw CSVs mojimoji is used for character conversion and iconv for encoding conversion.
The primary fields of an address and the translations preferred here for each are:
- 都道府県: prefecture
- 市区町村: city
- 町域名: neighborhood
# 🗼 tt = posuto.get('〒105-0011') print(tt.prefecture, tt.city, tt.neighborhood) # "東京都 港区 芝公園"
The postal data often includes notes in the neighborhood field. These are
always in parenthesis with one exception, "以下に掲載がない場合". All notes are
put in the
notes field, and no attempt is made to extract their yomigana or
romaji (which are often not available anyway).
minatoku = posuto.get('1050000') print(minatoku.note) # "以下に掲載がない場合"
Yomigana are converted to full-width kana.
Romaji in the original file are in all caps. This is converted to title case.
The supplied romaji make no effort to accommodate words of foreign origin, so "スウェーデンヒルズ" is rendered as "Suedenhiruzu" rather than "Sweden Hills". It may be possible to improve on this but it's outside the scope of this library; it's better to use a good romanization library, like cutlet.
Some more issues:
- 1006890: "大手町 ＪＡビル（地階・階層不明）" → "OTEMACHI JIEIEIBIRU(CHIKAI.KAISOFUM"
- JA → JIEIEI
- transliteration is randomly truncated, also not translated
- 1000004: "次のビルを除く" → "TSUGINOBIRUONOZOKU"
In general use the romaji here with caution.
sweden = posuto.get('0613777') print(sweden.romaji) # "Hokkaido, Ishikari Gun Tobetsu Cho, Suedenhiruzu"
Long Neighborhood Names
The postal data README explains that when the neighborhood field is over 38 characters it will be continued onto multiple lines. This is not explicitly marked in the data, and where line breaks are inserted in long neighborhoods appears to be random (it's often neither after the 38th character nor at a reasonable word boundary). The only indicator of long lines is an unclosed parenthesis on the first line. Such long lines are always in order in the original file.
In posuto, the parenthetical information is considered a note and put in
omiya = posuto.get('6020847') print(omiya) # "京都府京都市上京区大宮町" print(omiya.note) # "今出川通河原町西入、今出川通寺町東入、今出川通寺町東入下る、河原町通今出川下る、河原町通今出川下る西入、寺町通今出川下る東入、中筋通石薬師上る"
Multiple Regions in One Code
Sometimes a postal code covers multiple regions. Often the city is the same and
just the neighborhood varies, but sometimes part of the city field varies, or
even the whole city field. Codes like this are indicated by the
"一つの郵便番号で二以上の町域を表す場合の表示" field in the original CSV data,
which is called
For now, if more than one region uses multiple codes, the main entry is for the
first region listed in the main CSV, and other regions are stored as a list in
alternates property. There may be a better way to do this.
The original postal data is provided by JP Post with an indication they will not assert copyright. The code in this repository is released under the MIT or WTFPL license.
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