gcpy | Python toolkit for GEOS-Chem | Data Visualization library

by geoschem Python Version: 1.3.3 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | gcpy Summary

gcpy is a Python library typically used in Institutions, Learning, Education, Analytics, Data Visualization applications. gcpy has no bugs, it has no vulnerabilities, it has build file available and it has low support. However gcpy has a Non-SPDX License. You can install using 'pip install gcpy' or download it from GitHub, PyPI.

GCPy is a Python-based toolkit containing useful functions for working specifically with the GEOS-Chem model of atmospheric chemistry and composition. GCPy aims to build on the well-established scientific Python technical stack, leveraging tools like cartopy and xarray to simplify the task of working with model output and performing atmospheric chemistry analyses.

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Support

gcpy has a low active ecosystem.

It has 44 star(s) with 21 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 25 open issues and 153 have been closed. On average issues are closed in 126 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of gcpy is 1.3.3

Quality

gcpy has 0 bugs and 0 code smells.

Security

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

gcpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gcpy 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.

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gcpy releases are available to install and integrate.

Deployable package is available in PyPI.

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

Top functions reviewed by kandi - BETA

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

Make a plot of the FCSConc
Call make_grid function
Make a grid from csres
Compute the comparison between two sources
Run the benchmark
Get the list of files to download
Return the path to a filename
Make the emissions plot
This function creates a Regridderr derivative from a L2L file
Transport tracer data for tracers
Plot the timeseries of the site coords
Add lumped species to dataset
Print the total sum of ref and units
Compute global oxbudget
Add missing variables from refdata and devdata
Compares two data objects
Regridenates a given grid of vertices
Generate a benchmark mass consumption table
Make the plots for a benchmark
Create a benchmark plot
Make the plots for the benchmark
Make a benchmark mass table
Make a benchmark plot for a given ref
Regrid the dimensions of a file
Creates a benchmark file
Create a benchmark folder for the given reference dataset

Get all kandi verified functions for this library.

gcpy Key Features

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gcpy Examples and Code Snippets

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Community Discussions

Trending Discussions on gcpy

AttributeError: 'float' object has no attribute 'GCPPixel'

QUESTION

AttributeError: 'float' object has no attribute 'GCPPixel'

Asked 2020-Oct-17 at 03:56

I'm new in coding and trying to translate SEVIRI native images to tif format using gdal library and qgis python console. The problem is when I want to add GCPs I get an error and I don't know how to solve this problem I know I add GCP in the wrong way but I don't know what is the proper method! I searched alot but didn't find anything about adding GCPs in qgis python console while using gdaltranslate. Any suggestions will help. Here is my code in qgis python console :

...

ANSWER

Answered 2020-Oct-17 at 03:56

Your problem is what you're passing as the GCPs parameter to the gDal.Translate function. You're passing a list (tuple) of floating point values, when what that parameter expects is a list of gdal.GCP() objects.

Because the library thinks it has gdal.GCP() objects, it is trying to call the GCPPixel method on one of them, which would work if that's what it was. But it's a float, and of course, floating point numbers don't have a GCPPixel method, hence the error you're getting.

Source https://stackoverflow.com/questions/64398603

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

Vulnerabilities

No vulnerabilities reported

Install gcpy

You can install using 'pip install gcpy' or download it from GitHub, PyPI.
You can use gcpy 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.