pygeoprocessing | Geoprocessing operations for Python

 by   natcap Python Version: 2.4.4 License: Non-SPDX

kandi X-RAY | pygeoprocessing Summary

kandi X-RAY | pygeoprocessing Summary

pygeoprocessing is a Python library. pygeoprocessing has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pygeoprocessing has a Non-SPDX License. You can install using 'pip install pygeoprocessing' or download it from GitHub, PyPI.

Geoprocessing operations for Python
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            kandi-support Support

              pygeoprocessing has a low active ecosystem.
              It has 49 star(s) with 6 fork(s). There are 5 watchers for this library.
              There were 2 major release(s) in the last 6 months.
              There are 29 open issues and 124 have been closed. On average issues are closed in 99 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pygeoprocessing is 2.4.4

            kandi-Quality Quality

              pygeoprocessing has 0 bugs and 0 code smells.

            kandi-Security Security

              pygeoprocessing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pygeoprocessing code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pygeoprocessing has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              pygeoprocessing releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              pygeoprocessing saves you 3311 person hours of effort in developing the same functionality from scratch.
              It has 7963 lines of code, 231 functions and 11 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pygeoprocessing and discovered the below as its top functions. This is intended to give you an instant insight into pygeoprocessing implemented functionality, and help decide if they suit your requirements.
            • Compute the zonal statistics for a raster
            • Checks if raster path is formatted
            • Invoke a timed callback
            • Make a logger callback
            • Stitch rasters together
            • Helper function to create m2 area column
            • Get the type of the GDAL file
            • Calculate the area of a wg84 pixel
            • Wrapper for convolve_2d
            • Find the next regularised regular expression
            • Calculate raster calculation
            • This method is called when the raster_calculator is finished
            • Convenience function for 2d convolution
            • Reproject a vector from a vector
            • Evaluate a raster expression expression
            • Reclassify a raster
            • Interpolate points in the raster path
            Get all kandi verified functions for this library.

            pygeoprocessing Key Features

            No Key Features are available at this moment for pygeoprocessing.

            pygeoprocessing Examples and Code Snippets

            No Code Snippets are available at this moment for pygeoprocessing.

            Community Discussions

            QUESTION

            Creating Anaconda Environment from YML File Choking on Common Packages - os, pip, pandas
            Asked 2019-Oct-28 at 07:44

            Why is anaconda choking on common packages, in creating an envionment from a YML file? Anaconda COMES with these packages pre-installed in root (or so I thought?)

            YML file:

            ...

            ANSWER

            Answered 2019-Oct-28 at 07:44

            As @sinoroc pointed out in the comments, os is part of Python standard library and should not be listed as a dependency. (When you do define it as a dependency, Python is going to look for a package called os on all available repositories [PyPI or anaconda.org in this case] and won't find it.)

            You can see which packages are part of the standard library by checking the docs here: https://docs.python.org/3/library/ (Also there have been a few questions on SO on how to find out if a particular package is part of the std lib, e.g. How to check if a module/library/package is part of the python standard library?) When you create a new environment the packages from the std lib are the only ones which are available by default. Anything else needs to be installed.

            Additionally there are two packages in your yaml file that are listed twice (rasterio and matplotlib) which makes me think that you manually created that file. You can generate a conda environment file by activating an environment and running conda env export > environment.yml which will create a file called environment.yml with all required dependencies.

            Source https://stackoverflow.com/questions/58549348

            QUESTION

            Python import command not finding module that exists
            Asked 2017-Mar-22 at 14:21

            I presently have Python 2.7 installed, and have been attempting to get my pygeoprocessing module to work correctly (which appears to have been installed correctly). This is the version of Idle Python I am running: "Python 2.7.10 (default, May 23 2015, 09:44:00) [MSC v.1500 64 bit (AMD64)] on win32" When I type in "import pygeoprocessing" from the Idle command line, this is the error message . . .

            ...

            ANSWER

            Answered 2017-Mar-22 at 14:15

            Since you are on a windows box you may want to verify whether you have the 64-bit or the 32-bit version of python installed. That has caused problems for me in the past.

            Source https://stackoverflow.com/questions/42954034

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

            Vulnerabilities

            No vulnerabilities reported

            Install pygeoprocessing

            You can install using 'pip install pygeoprocessing' or download it from GitHub, PyPI.
            You can use pygeoprocessing like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install pygeoprocessing

          • CLONE
          • HTTPS

            https://github.com/natcap/pygeoprocessing.git

          • CLI

            gh repo clone natcap/pygeoprocessing

          • sshUrl

            git@github.com:natcap/pygeoprocessing.git

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