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توضیحات

Pure Python 3 open source library to handle Iberian electricity market data published by OMIE.

ویژگی	مقدار
سیستم عامل	-
نام فایل	aomie-0.0.0
نام	aomie
نسخه کتابخانه	0.0.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Guillermo Lozano Branger
ایمیل نویسنده	qheuristics@gmail.com
آدرس صفحه اصلی	https://github.com/qheuristics/aomie
آدرس اینترنتی	https://pypi.org/project/aomie/
مجوز	MIT

======== Overview ======== aomie is a pure Python 3 open source library that helps you handle Iberian electricity market data published by OMIE. Over 80 statistical indicators of historical data of the Iberian electricity market are published at http://www.omie.es/aplicaciones/datosftp/datosftp.jsp. These indicators are available as downloadable zip files containing text files of daily data with different levels of aggregation (by bidding unit, technology, etc.). To analyse these indicators over time or to make comparison between them you need to follow these steps: - Download all the data files covering the time horizon of interest - Extract the daily text files from the downloaded zip files - Combine the content of potentially thousands of files aomie automates this workflow. It downloads all files of the required metric over a user-specified time period, unzips the downloaded files and inserts their content into a SQLite database. Once in the database, data analysis can be conveniently performed using SQLite directly or with tools such as pandas in Python or dplyr in R. * Free software: MIT license Installation ============ :: pip install aomie Usage ===== Import the aomie library into your Python libraries, scripts or applications as usual:: import aomie amoie includes a succint command line interface that make OMIE data handling extremely easy. Some usage examples follow. A typical aomie starts by jointly setting the required configuration parameters through a toml configuration file :: omie -f myconfig.toml The configuration settings included in myconfig.toml are now avalaible to omie commands without having to explicitly call the toml config file again, e.g. to download data just type :: omie download Obviously you can use a different config file at any time :: omie -f otherconfig.toml download or just change some of the configuration settings :: omie -c end 200512 To check the current configuration settings type :: omie -d Once the zip files have been downloaded we can extract them like this :: omie extract To complete the workflow by inserting the extracted data into a SQLite database type :: omie insert The aomie commmand fetch bundles all the key data handling tasks. To run these tasks in a single step just type :: omie -f myconfig.toml -c end 200512 fetch Given the convenience of the fetch command, other commands that just perform one of the steps in omie workflow may seem redundant. Note however that omie data handling tasks covering long time horizons may involve downloading and processing hundreds of MBs that are disk and time consuming, and you may therefore prefer to proceed cautiously step by step. More information can be found in the command line help, e.g. to learn more about aomie commands such as download type :: omie download --help From this help we learn that we can download and extract in a single step by typing :: omie download -e TIP: you can save your self some typing in the command line replacing omie with om, e.g. like this :: om download -e Documentation ============= https://aomie.readthedocs.io/ Development =========== To run all the tests run:: tox Note, to combine the coverage data from all the tox environments run: .. list-table:: :widths: 10 90 :stub-columns: 1 - - Windows - :: set PYTEST_ADDOPTS=--cov-append tox - - Other - :: PYTEST_ADDOPTS=--cov-append tox Changelog ========= 0.0.0 (2019-09-15) ------------------ * First release on GitHub. * First release on PyPI (2019-09-17)

نیازمندی

مقدار	نام
-	click
-	toml
-	pandas

زبان مورد نیاز

مقدار	نام
>=3.6	Python

نحوه نصب

نصب پکیج whl aomie-0.0.0:

pip install aomie-0.0.0.whl

نصب پکیج tar.gz aomie-0.0.0:

pip install aomie-0.0.0.tar.gz