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ehyd-tools-0.1.dev9


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توضیحات

Reading and analyzing hydro(geo)logic time series from the Austrian government's "ehyd.gv.at" platform.
ویژگی مقدار
سیستم عامل -
نام فایل ehyd-tools-0.1.dev9
نام ehyd-tools
نسخه کتابخانه 0.1.dev9
نگهدارنده []
ایمیل نگهدارنده []
نویسنده -
ایمیل نویسنده Markus Pichler <markus.pichler@tugraz.at>
آدرس صفحه اصلی -
آدرس اینترنتی https://pypi.org/project/ehyd-tools/
مجوز MIT
© [Institute of Urban Water Management and Landscape Water Engineering](https://www.tugraz.at), [Graz University of Technology](https://www.tugraz.at/home/) and [Markus Pichler](mailto:markus.pichler@tugraz.at) # eHYD Tools [![license](https://img.shields.io/github/license/markuspic/ehyd_tools.svg?style=flat)](https://github.com/MarkusPic/ehyd_tools/blob/master/LICENSE) [![PyPI](https://img.shields.io/pypi/v/ehyd_tools.svg)](https://pypi.python.org/pypi/ehyd-tools) Reading and analyzing hydro(geo)logic time series from the Austrian government's "ehyd.gv.at" platform. Various tools for exporting and analyzing >10a rain time-series from the [ehyd.gv.at](https://ehyd.gv.at) platform of the Austian government. If you are interested in a statistical heavy rain analysis like on *(Ö)Kostra*, take a look at my other python package [intensity_duration_frequency_analysis](https://github.com/MarkusPic/intensity_duration_frequency_analysis) which is compatible with this package. # Install The script is written in Python3. (use a version > 3.5) ## Windows You have to install python (i.e. the original python from the [website](https://www.python.org/downloads/)). The following commands show the usage for Linux/Unix systems. To use these features on Windows you have to add ```python -m``` before each command and you have to add the path to your python binary to the environment variables [^path1]. [^path1]: https://geek-university.com/python/add-python-to-the-windows-path/ There is also an option during the installation to add python to the PATH automatically. [^path2] [^path2]: https://datatofish.com/add-python-to-windows-path/ ![python_install](https://datatofish.com/wp-content/uploads/2018/10/0001_add_Python_to_Path.png) ## Linux/Unix Python is pre-installed on most operating systems (as you probably knew). ## Required python packages Packages required for this program will be installed with pip during the installation process and can be seen in the 'requirements.txt' file. ## Fresh install ```bash pip install ehyd-tools ``` Add the following tags to the command for special options: - ```--user```: To install the package only for the local user account (no admin rights needed) - ```--upgrade```: To update the package # Alternative Repositories - https://github.com/hydrogeology-graz/ehyd - https://github.com/joha1/ehyd_reader # Usage for general time-series data ### Examples Jupyter notebooks for Extended python API > links only work on GitHub! - [the design rainfall](example/example_design_rainfall.ipynb) - [model rain creator](example/example_synthetic_rain.ipynb) - [the general data-reader](example/example_python_api_general.ipynb) - [the gis extract](example/example_gis_export.ipynb) # Usage for high-res precipitation time-series To start the script use following commands in the terminal/Prompt ```ehyd_tools``` ## Commandline tool With the `-h` (help) flag you can see the complete functionality of the tool. ```bash ehyd_tools -h ``` > ``` > usage: __main__.py [-h] [-id ID] [--input INPUT] [--max10a] [--start START] > [--end END] [--add_gaps] [--to_csv] [--to_parquet] [--plot] > [--statistics] [--meta] [--unix] > > optional arguments: > -h, --help show this help message and exit > -id ID the id number for the station from the ehyd.gv.at platform > --input INPUT path to the rain input file including the filename > --max10a consider only 10 years with the most availability (for > clipping the data) > --start START custom start time (Format="YYYY-MM-DD") for clipping the data > --end END custom end time (Format="YYYY-MM-DD") for clipping the data > --add_gaps save a gaps-table as a csv-file > --to_csv save the time-series as csv-file (to the current directory if > the id is used or in the directory of the input-file) > --to_parquet save the time-series as parquet-file (to the current > directory if the id is used or in the directory of the input- > file) - parquet is a much faster as csv to read and write > --plot save a bar-plot with monthly sums and availability as a png- > file > --statistics save the basic statistics (sum, max & min) as a txt-file > --meta save the meta-data presented in ehyd as a txt-file > --unix export the csv files with a "," as separator and a "." as > decimal sign (otherwise ";" as separator and a "," as decimal > sign will be used) > ``` ## The high-res precipitation stations > links only work on GitHub! [List of ehyd-stations with the id-number and the label](ehyd_tools/ehyd_stations.json) ## Examples > links only work on GitHub! [Example Jupyter notebook for the commandline](example/example_commandline.ipynb) [Example Jupyter notebook for the python api](example/example_python_api.ipynb) [Example python skript](example/example_python_api.py) ### Example results files > links only work on GitHub! [Data-gaps in the series](example/ehyd_112086_gaps.csv) [Meta-data of the series](example/ehyd_112086_meta.txt) ### Example Plot > links only work on GitHub! ![Regenhöhenlinien](example/ehyd_112086_plot.png)


نیازمندی

مقدار نام
>=1.14 numpy
>=1 pandas
>=3 matplotlib
- requests
- argh
- fastparquet
- pyarrow


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl ehyd-tools-0.1.dev9:

    pip install ehyd-tools-0.1.dev9.whl


نصب پکیج tar.gz ehyd-tools-0.1.dev9:

    pip install ehyd-tools-0.1.dev9.tar.gz