An interactive GUI for WhiteboxTools in a Jupyter-based environment

Related tags

Data Visualizationpythongeospatialwhiteboxjupyter-notebookgisremote-sensinglidarhydrologygeoprocessinggeomorphologygeomorphometrywhitebox-tools
Overview

whiteboxgui

image image image image image image image

An interactive GUI for WhiteboxTools in a Jupyter-based environment

Description

The whiteboxgui Python package is a Jupyter frontend for WhiteboxTools, an advanced geospatial data analysis platform developed by Prof. John Lindsay (webpage; jblindsay) at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. WhiteboxTools can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. WhiteboxTools also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. LiDAR point clouds can be interrogated (LidarInfo, LidarHistogram), segmented, tiled and joined, analyized for outliers, interpolated to rasters (DEMs, intensity images), and ground-points can be classified or filtered. WhiteboxTools is not a cartographic or spatial data visualization package; instead it is meant to serve as an analytical backend for other data visualization software, mainly GIS.

The WhiteboxTools currently contains 447 tools, which are each grouped based on their main function into one of the following categories: Data Tools, GIS Analysis, Hydrological Analysis, Image Analysis, LiDAR Analysis, Mathematical and Statistical Analysis, Stream Network Analysis, and Terrain Analysis. For a listing of available tools, complete with documentation and usage details, please see the WhiteboxTools User Manual.

Installation

whiteboxgui is available on PyPI. To install whiteboxgui, run this command in your terminal:

pip install whiteboxgui

whiteboxgui is also available on conda-forge. If you have Anaconda or Miniconda installed on your computer, you can create a conda Python environment to install whiteboxgui:

conda create -n wbt python
conda activate wbt
conda install mamba -c conda-forge
mamba install whiteboxgui -c conda-forge

Usage

The whiteboxgui provides a Graphical User Interface (GUI) for WhiteboxTools in a Jupyter-based environment, which can be invoked using the following Python script. You can also try image

import whiteboxgui
whiteboxgui.show(tree=True)

Imgur

Demo

tutorial

Credits

This package was created with Cookiecutter and the giswqs/pypackage project template.

You might also like...
A Jupyter - Three.js bridge
A Jupyter - Three.js bridge

pythreejs A Python / ThreeJS bridge utilizing the Jupyter widget infrastructure. Getting Started Installation Using pip: pip install pythreejs And the

Jupyter Widgets 700 Feb 17, 2021
IPython/Jupyter notebook module for Vega and Vega-Lite
IPython/Jupyter notebook module for Vega and Vega-Lite

IPython Vega IPython/Jupyter notebook module for Vega 5, and Vega-Lite 4. Notebooks with embedded visualizations can be viewed on GitHub and nbviewer.

Vega 294 Feb 12, 2021
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

pivottablejs: the Python module Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js Installation pip install pivot

Nicolas Kruchten 419 Feb 11, 2021
Render Jupyter notebook in the terminal
Render Jupyter notebook in the terminal

jut - JUpyter notebook Terminal viewer. The command line tool view the IPython/Jupyter notebook in the terminal. Install pip install jut Usage $jut --

Kracekumar 169 Dec 27, 2022
A Jupyter - Leaflet.js bridge
A Jupyter - Leaflet.js bridge

ipyleaflet A Jupyter / Leaflet bridge enabling interactive maps in the Jupyter notebook. Usage Selecting a basemap for a leaflet map: Loading a geojso

Jupyter Widgets 1.3k Dec 27, 2022
Draw datasets from within Jupyter.
Draw datasets from within Jupyter.

drawdata This small python app allows you to draw a dataset in a jupyter notebook. This should be very useful when teaching machine learning algorithm

vincent d warmerdam 505 Nov 27, 2022
High performance, editable, stylable datagrids in jupyter and jupyterlab
High performance, editable, stylable datagrids in jupyter and jupyterlab

An ipywidgets wrapper of regular-table for Jupyter. Examples Two Billion Rows Notebook Click Events Notebook Edit Events Notebook Styling Notebook Pan

J.P. Morgan Chase 75 Dec 15, 2022
ipyvizzu - Jupyter notebook integration of Vizzu
ipyvizzu - Jupyter notebook integration of Vizzu

ipyvizzu - Jupyter notebook integration of Vizzu. Tutorial · Examples · Repository About The Project ipyvizzu is the Jupyter Notebook integration of V

Vizzu 729 Jan 8, 2023
Interactive Data Visualization in the browser, from Python
Interactive Data Visualization in the browser, from Python

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords hi

Bokeh 17.1k Dec 31, 2022
Comments
  • Error code : 101 on Whitebox gui

    Error code : 101 on Whitebox gui

    Environment Information

    • whiteboxgui version:
    • Python version: 3.10
    • Operating System: MacOs

    Description

    Hello,

    I am currently trying to use the withebox LIDAR tools on my mac via the Gui (same error with Qgis), but i have a consistant error code, the 101 code.

    What I Did

    I am using Lidar data from the French national geographic institut, the file is under the .laz extension. I tried three different tools in withebox (lidarinfo, ClipLidarToPolygon, ClassifyBuldingLidar) and the same error code appears. The wired thing is that i downloaded a different set of lidar data from the same platform i downloaded the previous set and the error did no occur on that set even though i followed the same protocol.

    Does anyone have an idea why this might happen ?

    Error { kind: UnexpectedEof, message: "failed to fill whole buffer" }', /Users/johnlindsay/.cargo/registry/src/github.com-1ecc6299db9ec823/las-0.7.4/src/compression/mod.rs:78:18
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
Error code 101
    bug 
    opened by mathiaschabal 2
  • [feature] search tools to match searching texts also with descriptions of a tool in its documentation

    [feature] search tools to match searching texts also with descriptions of a tool in its documentation

    Hello. I notice that the search tools behavior differently between whiteboxgui and the GUI from whitebox.Runner(). It seems that search tools of whiteboxgui only match the title of the tool but not the rich description from its documentation. Is it possible to enhance the search tool of whiteboxgui like that in whitebox.Runner()?

    Pics: whitebox whiteboxgui

    Feature Request 
    opened by CWen001 2
  • CVE-2007-4559 Patch

    CVE-2007-4559 Patch

    Patching CVE-2007-4559

    Hi, we are security researchers from the Advanced Research Center at Trellix. We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a 15 year old bug in the Python tarfile package. By using extract() or extractall() on a tarfile object without sanitizing input, a maliciously crafted .tar file could perform a directory path traversal attack. We found at least one unsantized extractall() in your codebase and are providing a patch for you via pull request. The patch essentially checks to see if all tarfile members will be extracted safely and throws an exception otherwise. We encourage you to use this patch or your own solution to secure against CVE-2007-4559. Further technical information about the vulnerability can be found in this blog.

    If you have further questions you may contact us through this projects lead researcher Kasimir Schulz.

    opened by TrellixVulnTeam 0
  • Add support for selecting multiple files

    Add support for selecting multiple files

    Currently, ipyfilechooser only allows selecting a single file. Some tools requires a file list (i.e., selecting multiple files). One potential workaround I can think of is to use a SelectMultiple widget and push ipyfilechooser.selected to the widget with register_callback. Related issue: https://github.com/crahan/ipyfilechooser/issues/11

    https://ipywidgets.readthedocs.io/en/latest/examples/Widget%20List.html#SelectMultiple image

    Feature Request 
    opened by giswqs 2
Releases(v2.2.0)
Owner
Qiusheng Wu
Assistant Professor of Geography at the University of Tennessee, Knoxville
Qiusheng Wu
GitHub Repository https://whiteboxgui.gishub.org
Flame Graphs visualize profiled code

Flame Graphs visualize profiled code

Brendan Gregg 14.1k Jan 03, 2023
ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata

ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata (Name, company, port, user manua

QeeqBox 2 Dec 13, 2021
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.

12_Python_Seaborn_Module Introduction 👋 From the website, “Seaborn is a Python data visualization library based on matplotlib. It provides a high-lev

Milaan Parmar / Милан пармар / _米兰 帕尔马 192 Dec 16, 2022
Boltzmann visualization - Visualize the Boltzmann distribution for simple quantum models of molecular motion

Boltzmann visualization - Visualize the Boltzmann distribution for simple quantum models of molecular motion

1 Jan 22, 2022
✅ Today I Learn

Today I Learn EDA numpy_100ex numpy_0~10 airline_satisfaction_prediction BERT_naver_movie_classification NLP_prepare NLP_Tweet_Emotion_Recognition tex

Yeonghoo_Ahn 3 Dec 15, 2022
🧇 Make Waffle Charts in Python.

PyWaffle PyWaffle is an open source, MIT-licensed Python package for plotting waffle charts. It provides a Figure constructor class Waffle, which coul

Guangyang Li 528 Jan 02, 2023
Domain Connectivity Analysis Tools to analyze aggregate connectivity patterns across a set of domains during security investigations

DomainCAT (Domain Connectivity Analysis Tool) Domain Connectivity Analysis Tool is used to analyze aggregate connectivity patterns across a set of dom

DomainTools 34 Dec 09, 2022
Profile and test to gain insights into the performance of your beautiful Python code

Profile and test to gain insights into the performance of your beautiful Python code View Demo - Report Bug - Request Feature QuickPotato in a nutshel

Joey Hendricks 138 Dec 06, 2022
Streamlit dashboard examples - Twitter cashtags, StockTwits, WSB, Charts, SQL Pattern Scanner

streamlit-dashboards Streamlit dashboard examples - Twitter cashtags, StockTwits, WSB, Charts, SQL Pattern Scanner Tutorial Video https://ww

122 Dec 21, 2022
CPG represent!

CoolPandasGroup CPG represent! Arianna Brandon Enne Luan Tracie Project requirements: use Pandas to clean and format datasets use Jupyter Notebook to

Enne 3 Feb 07, 2022
Minimal Ethereum fee data viewer for the terminal, contained in a single python script.

Minimal Ethereum fee data viewer for the terminal, contained in a single python script. Connects to your node and displays some metrics in real-time.

48 Dec 05, 2022
Debugging, monitoring and visualization for Python Machine Learning and Data Science

Welcome to TensorWatch TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Micr

Microsoft 3.3k Dec 27, 2022
A pandas extension that solves all problems of Jalai/Iraninan/Shamsi dates

Jalali Pandas Extentsion A pandas extension that solves all problems of Jalai/Iraninan/Shamsi dates Features Series Extenstion Convert string to Jalal

51 Jan 02, 2023
Python toolkit for defining+simulating+visualizing+analyzing attractors, dynamical systems, iterated function systems, roulette curves, and more

Attractors A small module that provides functions and classes for very efficient simulation and rendering of iterated function systems; dynamical syst

1 Aug 04, 2021
A high performance implementation of HDBSCAN clustering. http://hdbscan.readthedocs.io/en/latest/

HDBSCAN Now a part of scikit-learn-contrib HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. Performs DBSCAN over va

Leland McInnes 91 Dec 29, 2022
Personal IMDB Graphs with Bokeh

Personal IMDB Graphs with Bokeh Do you like watching movies and also rate all of them in IMDB? Would you like to look at your IMDB stats based on your

2 Dec 15, 2021
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
Python package to visualize and cluster partial dependence.

partial_dependence A python library for plotting partial dependence patterns of machine learning classifiers. The technique is a black box approach to

NYU Visualization Lab 25 Nov 14, 2022
A simple python script using Numpy and Matplotlib library to plot a Mohr's Circle when given a two-dimensional state of stress.

Mohr's Circle Calculator This is a really small personal project done for Department of Civil Engineering, Delhi Technological University (formerly, D

Agyeya Mishra 0 Jul 17, 2021
A deceptively simple plotting library for Streamlit

🍅 Plost A deceptively simple plotting library for Streamlit. Because you've been writing plots wrong all this time. Getting started pip install plost

Thiago Teixeira 192 Dec 29, 2022