Skip to main content

A python library for accessing official statistics of Japan.

Project description

jpstat

A python package for accessing the official statistics of Japan.

Features

Install

pip install jpstat

estat API

estat is the official site for government statistics in Japan. Its api service offers data of over 250+ statistics in Japan. You need to register an api key to access to the statistics.

Functions

All functions return one or multiple pandas DataFrames.

To see a list of statistics offered by estat api

import jpstat
stat = jpstat.estat.get_stat(key=YOUR_API_KEY)

To search data by either the code of a statistic or some key words

data = jpstat.estat.get_list(statsCode="00400001")
data = jpstat.estat.get_list(searchWord="企業")

To download data

data, note = jpstat.estat.get_data(statsDataId="0000040001")

Configuration

You can pass the estat api key to each function. Or you can set a configuration

jpstat.options["estat.api_key"] = "MY_API_KEY"

You can also set the language from Japanese (default, "J") to English

jpstat.options["estat.lang"] = "E"

To see a list of valid configuration options

jpstat.config.describe_options()

estat File

Many statistics and datasets in estat can not be accessed through API, but are excel, csv, or pdf files and can be downloaded. Here jpstat provides the functions that scrapes the information of statistics and download the files. Api key for estat is not needed, and the result is in Japanese only.

Functions

To see a list of all statistics in estat that have downloadable files

data = jpstat.estatFile.get_stat()

It will take some time to scraping the website of estat at the first time and then save the list to options["estat.data_dir"]. From then on, the function would first try to read the local file. You can force to scrape again by setting update=True.

To search data files by code of a statistic and the survey year (optional)

data = jpstat.estatFile.get_list(statsCode="00400001")
data = jpstat.estatFile.get_list(statsCode="00400001", year="1950")

Again, you can save the result by setting save=True, and from next time jpstat would first check if the result already exists.

To download the file by using the information of data id and file type ("EXCEL"/"CSV"/"PDF") gotten from the result of estatFile.get_list

jpstat.estatFile.get_file(statsDataId="000029094935", file_type="EXCEL")

The file would be downloaded to current folder by default.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jpstat-0.0.4.tar.gz (12.7 kB view details)

Uploaded Source

Built Distribution

jpstat-0.0.4-py3-none-any.whl (14.7 kB view details)

Uploaded Python 3

File details

Details for the file jpstat-0.0.4.tar.gz.

File metadata

  • Download URL: jpstat-0.0.4.tar.gz
  • Upload date:
  • Size: 12.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.0.10 CPython/3.8.5 Darwin/20.2.0

File hashes

Hashes for jpstat-0.0.4.tar.gz
Algorithm Hash digest
SHA256 347534b6759f249e313fdde9ab7efda2215c83605989f7e6772494eed596adae
MD5 4e7a2dc86da9816cd6088c229f13e7c9
BLAKE2b-256 f9a4aaca9d14d2f9b964a159ff86450b64627a51dfac4a34344c34ad08ebc7b4

See more details on using hashes here.

File details

Details for the file jpstat-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: jpstat-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 14.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.0.10 CPython/3.8.5 Darwin/20.2.0

File hashes

Hashes for jpstat-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 6c579b9371c24fe4a0104986f6ff777e78038af6e234fa2dda94ee28950556b1
MD5 16e0fa0551be2b81a8811dfd68952be6
BLAKE2b-256 6853a1dc6f0ea10f7887c696928be3a24718752d50967f745964d1a7c85c6c69

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page