Python package to Create, Read, Write, Edit, and Visualize GSFLOW models

Overview

pyGSFLOW logo

pygsflow continuous integration codecov PyPI

pygsflow

pyGSFLOW is a python package to Create, Read, Write, Edit, and Visualize GSFLOW models

API Documentation

pyGSFLOW API documentation can be found @

https://pygsflow.github.io/pygsflowdocs/

Examples

Ipython notebook example problems can be found in the examples directory.
https://github.com/pygsflow/pygsflow/tree/master/examples

Installation

The pygsflow repository can be installed using pip. To install the most recent release version, open a command prompt or anaconda prompt terminal and type:

pip install pygsflow

or

pip install https://github.com/pygsflow/pygsflow/zipball/master

Or to install the development version with the most recent updates

pip install https://github.com/pygsflow/pygsflow/zipball/develop

Alternatively the user can download a copy of the repository, open a command prompt or anaconda promt terminal, cd into the trunk directory and type:

pip install .

Authors

Ayman Alzraiee, Joshua Larsen, Donald Martin, Rich Niswonger

How to Cite

Larsen, J. D., Alzraiee, A., Niswonger, R., 2021, pyGSFLOW v1.0.0: U.S. Geological Survey Software Release, 2 July 2021, https://doi.org/10.5066/P9NPZ5AD

Bugs

The code is in active development and although there is a testing infrastructure set up we cannot catch all the software bugs without the help of users. If you find a bug or have an issue, please report it by opening a new issue. You can open a new issue by clicking the issues tab near the top of the page.

Project History

This project is a refinement and continuation of the original pygsflow repository at:

https://github.com/aymanalz/pygsflow

Disclaimer

This software is preliminary or provisional and is subject to revision. It is being provided to meet the need for timely best science. The software has not received final approval by the U.S. Geological Survey (USGS). No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. The software is provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the software

Comments
  • JOSS review feedback

    JOSS review feedback

    Hello pygsflow team! I'm a reviewer for your submission to JOSS tracked here. I'll use this issue to track my feedback on the paper and software -- feel free to split out my comments into separate issues if that helps your workflow.

    README.md

    • [x] #13

    Paper

    • [x] #18
    • [x] Paragraph starting on line 62: since you mention external sensitivity analysis software, it could be useful for readers to cite the calibration software typically used in GSFLOW applications

    Jupyter notebooks

    • [x] #15
    • [x] #16
    • [x] #17
    • [x] #14
    • [x] Just wanted to say that the plots in the stream vector notebook are really nice looking!
    opened by thurber 4
  • remove_record() method does not recognize parameter names

    remove_record() method does not recognize parameter names

    I am trying to remove parameters from the control file.

    I can get_record(name='soilzone_module'):

    soilzone_module 1 4 soilzone

    But I can't remove_record(name='soilzone_module'):

    /home/mrush/miniconda3/lib/python3.8/site-packages/gsflow/param_base.py:211: UserWarning: The record does not exist: soilzone_module warnings.warn("The record does not exist: {}".format(name),

    opened by mrush-usgs 2
  • Typo in pyGSFLOW documentation

    Typo in pyGSFLOW documentation

    Greetings, pyGSFLOW documentation site has a typo in its text as well as in its page title. It states "Welocme" instead of "Welcome".

    PoC: https://pygsflow.github.io/pygsflowdocs/#welocme-to-the-pygsflow-documentation

    opened by ccalvocm 1
  • JOSS review feedback 2

    JOSS review feedback 2

    Hi all, this checklist will contain feedback related to your JOSS Review. I will continue to update this checklist as I move through my review:

    Installation

    • [x] Indicate which python versions are supported in the README.
    • [x] Installation fails from develop branch on Python3.6 with EnvironmentError("pyGSFLOW is only supported with python 3.7 and above"). Please indicate that Python3.6 is not supported in the README.
    • [x] Installation fails from develop branch on Python3.7 due to dependency error ERROR: Could not find a version that satisfies the requirement flopy>=3.3.5
    • [x] Installation fails from develop branch on Python3.8 due to dependency error ERROR: Could not find a version that satisfies the requirement flopy>=3.3.5
    • [x] Installation fails from develop branch on Python3.9 due to dependency error ERROR: Could not find a version that satisfies the requirement flopy>=3.3.5
    • [x] Installation fails from develop branch on Python3.10 due to dependency error: ERROR: Could not find a version that satisfies the requirement flopy>=3.3.5
    • [x] #24
    • [x] #25

    Documentation

    • [x] Cannot find contributing guidelines in README.
    • [x] #23
    • [x] #22

    Misc

    • [x] 'Dependency' issue tag is misspelled.
    • [x] #21
    • [x] #20
    opened by mdbartos 1
  • Parameter 'Width' Integers Not Required in Parameter File

    Parameter 'Width' Integers Not Required in Parameter File

    prms_parameter.py currently prints the parameter 'width' attribute (default 10) to the parameter file. These numbers are not required for prms/gsflow.

    https://github.com/pygsflow/pygsflow/blob/master/gsflow/prms/prms_parameter.py

    Lines 535 and 584

    opened by mrush-usgs 1
  • Adding building Parameters with JSON - Defaults

    Adding building Parameters with JSON - Defaults

    I added the build by default for parameters in the JSON file. I think I am missing a default file that I can upload later, but I put different cases with different dimensions for parameters in the docs of the function

    opened by jonathanqv 0
  • NetCDF4 and Rasterio conflict: HDF error when trying to write Dataset

    NetCDF4 and Rasterio conflict: HDF error when trying to write Dataset

    The rasterio wheels on PyPI include HDF5 and netCDF4 shared libraries and they can create conflicts with the netCDF4 wheel.

    The proposed workaround is to install rasterio from the source distribution instead of from binary wheel.

    pip install netcdf4
    pip install --no-binary rasterio rasterio
    

    This method works on all tested sytems (ubuntu, macos, and windows) to avoid binary library conflicts.

    opened by jlarsen-usgs 0
Releases(1.1.0)
Owner
pyGSFLOW
pyGSFLOW is a python package for GSFLOW integrated models
pyGSFLOW
A python script editor for napari based on PyQode.

napari-script-editor A python script editor for napari based on PyQode. This napari plugin was generated with Cookiecutter using with @napari's cookie

Robert Haase 9 Sep 20, 2022
Parallel t-SNE implementation with Python and Torch wrappers.

Multicore t-SNE This is a multicore modification of Barnes-Hut t-SNE by L. Van der Maaten with python and Torch CFFI-based wrappers. This code also wo

Dmitry Ulyanov 1.7k Jan 09, 2023
A GUI for Pandas DataFrames

PandasGUI A GUI for analyzing Pandas DataFrames. Demo Installation Install latest release from PyPi: pip install pandasgui Install directly from Githu

Adam 2.8k Jan 03, 2023
Log visualizer for whirl-framework

Lumberjack Log visualizer for whirl-framework Установка pip install -r requirements.txt Как пользоваться python3 lumberjack.py -l путь до лога -o

Vladimir Malinovskii 2 Dec 19, 2022
A Python library created to assist programmers with complex mathematical functions

libmaths was created not only as a learning experience for me, but as a way to make mathematical models in seconds for Python users using mat

Simple 73 Oct 02, 2022
🐍PyNode Next allows you to easily create beautiful graph visualisations and animations

PyNode Next A complete rewrite of PyNode for the modern era. Up to five times faster than the original PyNode. PyNode Next allows you to easily create

ehne 3 Feb 12, 2022
This is simply repo for line drawing rendering using freestyle in Blender.

blender_freestyle_line_drawing This is simply repo for line drawing rendering using freestyle in Blender. how to use blender2935 --background --python

MaxLin 3 Jul 02, 2022
RockNext is an Open Source extending ERPNext built on top of Frappe bringing enterprise ready utilization.

RockNext is an Open Source extending ERPNext built on top of Frappe bringing enterprise ready utilization.

Matheus Breguêz 13 Oct 12, 2022
An(other) implementation of JSON Schema for Python

jsonschema jsonschema is an implementation of JSON Schema for Python. from jsonschema import validate # A sample schema, like what we'd get f

Julian Berman 4k Jan 04, 2023
Visualization ideas for data science

Nuance I use Nuance to curate varied visualization thoughts during my data scientist career. It is not yet a package but a list of small ideas. Welcom

Li Jiangchun 16 Nov 03, 2022
🗾 Streamlit Component for rendering kepler.gl maps

streamlit-keplergl 🗾 Streamlit Component for rendering kepler.gl maps in a streamlit app. 🎈 Live Demo 🎈 Installation pip install streamlit-keplergl

Christoph Rieke 39 Dec 14, 2022
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters

Somoclu Somoclu is a massively parallel implementation of self-organizing maps. It exploits multicore CPUs, it is able to rely on MPI for distributing

Peter Wittek 239 Nov 10, 2022
Write python locally, execute SQL in your data warehouse

RasgoQL Write python locally, execute SQL in your data warehouse ≪ Read the Docs · Join Our Slack » RasgoQL is a Python package that enables you to ea

Rasgo 265 Nov 21, 2022
Make scripted visualizations in blender

Scripted visualizations in blender The goal of this project is to script 3D scientific visualizations using blender. To achieve this, we aim to bring

Praneeth Namburi 10 Jun 01, 2022
Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns.

Make Complex Heatmaps Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. H

Zuguang Gu 973 Jan 09, 2023
Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python

Petrel Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python. NOTE: The base Storm package provides storm.py, which

AirSage 247 Dec 18, 2021
A small script written in Python3 that generates a visual representation of the Mandelbrot set.

Mandelbrot Set Generator A small script written in Python3 that generates a visual representation of the Mandelbrot set. Abstract The colors in the ou

1 Dec 28, 2021
A Simple Flask-Plotly Example for NTU 110-1 DSSI Class

A Simple Flask-Plotly Example for NTU 110-1 DSSI Class Live Demo Prerequisites We will use Flask and Ploty to build a Flask application. If you haven'

Ting Ni Wu 1 Dec 11, 2021
Generate a roam research like Network Graph view from your Notion pages.

Notion Graph View Export Notion pages to a Roam Research like graph view.

Steve Sun 214 Jan 07, 2023
A blender import/export system for Defold

defold-blender-export A Blender export system for the Defold game engine. Setup Notes There are no exhaustive documents for this tool yet. Its just no

David Lannan 27 Dec 30, 2022