pysheds | : earth_americas : Simple and fast watershed delineation | Map library

by mdbartos Python Version: 0.3.5 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | pysheds Summary

pysheds is a Python library typically used in Geo, Map applications. pysheds has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Simple and fast watershed delineation in python.

Support

Quality

Security

License

Reuse

Support

pysheds has a low active ecosystem.

It has 599 star(s) with 159 fork(s). There are 23 watchers for this library.

It had no major release in the last 12 months.

There are 54 open issues and 114 have been closed. On average issues are closed in 292 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pysheds is 0.3.5

Quality

pysheds has 0 bugs and 0 code smells.

Security

pysheds has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pysheds code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pysheds is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

pysheds releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

pysheds saves you 1764 person hours of effort in developing the same functionality from scratch.

It has 7917 lines of code, 462 functions and 18 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pysheds and discovered the below as its top functions. This is intended to give you an instant insight into pysheds implemented functionality, and help decide if they suit your requirements.

Compute the catch area
View the given data
Handle input data
Return the nodata value for the given data
Compute the hand
Handles output of viewfinder
Return the nodes of the raster data
Construct a new GeoRaster instance
Extract a river network
Convenience method to flow the flow of a directory
Write an ASCII image to a file
Extract profiles from a directory
Detect cycles in a directory
Resolve scattered coordinates
R Calculate cell slopes
Resolve flats in an image
Fill hydrated displacements
Read raster data
R Return the flow direction of the given image
Write to a raster file
Compute the flow - distance between the given points
Calculate catchment cells
Run catchment
Generate a list of lines
Calculate accumulation
Calculate cumulative accumulation

Get all kandi verified functions for this library.

pysheds Key Features

No Key Features are available at this moment for pysheds.

pysheds Examples and Code Snippets

No Code Snippets are available at this moment for pysheds.

Community Discussions

Trending Discussions on pysheds

Getting Error with "from_raster" attribute in pysheds

How to speed up the 'for' loop in a python function?

What all parameters to be called in a async function in python?

QUESTION

Getting Error with "from_raster" attribute in pysheds

Asked 2020-Nov-12 at 11:06

This is my first time asking a question. I am trying to use "pysheds" to analyze some hydrologic DEM files. The developer as some pretty thorough "how to" videos but when I try to load the DEM file in the way that they show I get the following error:

module 'pysheds.grid' has no attribute 'from_raster'

here's my code

...

ANSWER

Answered 2020-Oct-19 at 20:06

According to documentation, you should import Grid from pysheds.grid like this:

Source https://stackoverflow.com/questions/64431016

QUESTION

How to speed up the 'for' loop in a python function?

Asked 2020-Sep-16 at 14:54

I have a function var. I want to know the best possible way to run the for loop (for multiple coordinates: xs and ys) within this function quickly by multiprocessing/parallel processing by utilizing all the processors, cores, and RAM memory the system has.

Is it possible using Dask module?

pysheds documentation can be found here.

...

ANSWER

Answered 2020-Sep-13 at 00:47

You didn't post a link to your image1.tif file so the sample code below uses pysheds/data/dem.tif from https://github.com/mdbartos/pysheds The basic idea is to split the input parameters, xs and ys in your case, into subsets, then give each CPU a different subset to work on.

main() computes the solution twice, once sequentially and once in parallel, then compares the solutions from each. There's some inefficiency in the parallel solution since the image file will be read by each CPU so there's room for improvement (ie, read the image file outside the parallel portion then give the resulting grid object to each instance).

Source https://stackoverflow.com/questions/63804346

QUESTION

What all parameters to be called in a async function in python?

Asked 2020-Sep-14 at 11:59

I have a function var. I want to know the best possible way to run the loop within this function quickly by multiprocessing/parallel processing by utilizing all the processors, cores, and RAM memory the system has.
...

ANSWER

Answered 2020-Sep-14 at 11:59

First, in your original code, I see:

Source https://stackoverflow.com/questions/63804017

Community Discussions, Code Snippets contain sources that include Stack Exchange Network