python-Cartopy

 by   shreyagupta30 Jupyter Notebook Version: Current License: No License

kandi X-RAY | python-Cartopy Summary

kandi X-RAY | python-Cartopy Summary

python-Cartopy is a Jupyter Notebook library. python-Cartopy has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

python-Cartopy
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              python-Cartopy has a low active ecosystem.
              It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              python-Cartopy has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-Cartopy is current.

            kandi-Quality Quality

              python-Cartopy has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              python-Cartopy does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              python-Cartopy releases are not available. You will need to build from source code and install.

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            python-Cartopy Key Features

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            python-Cartopy Examples and Code Snippets

            No Code Snippets are available at this moment for python-Cartopy.

            Community Discussions

            QUESTION

            Cartopy (0.14.2) / MetPy (0.12.2) parse(cf) error when using Google Colab
            Asked 2020-Nov-24 at 03:44

            I have a student facing a problem that is similar to what others are reporting when using older versions of MetPy and Cartopy.

            The issue is the parse_cf() command under metpy. And it's happening under Google Colaboratory, of which I have little experience. Things are working fine on other platforms (anaconda, miniconda, homebrew, etc)

            Previous feedback I've seen refers to rolling back the version of the cartopy library from 0.18.*. I have also followed previously posted guidance on Shapely, but we cannot seem to be able to change the versions of cartopy or metpy version in Google CoLab.

            The version information for the environment and python libraries, followed by the code and error is below.

            I'm at a loss here and have troubleshot it for my student about as far as I can go. Guidance would be appreciated by both of us.

            System and Package Information

            ...

            ANSWER

            Answered 2020-Nov-24 at 03:44

            The core problem here is that 0.14.2 is too old work with MetPy--though the fact that it crashes is a bug that will be fixed in the impending 1.0 release. To get a newer version of CartoPy installed on Collab, this recipe has worked for me (type these commands in cells):

            Source https://stackoverflow.com/questions/64979083

            QUESTION

            metpy interpolate_to_grid not working for me with simple data
            Asked 2020-Oct-29 at 02:51

            I have an issue when adapting a simple dataset to generate temperature interpolation map from points

            ...

            ANSWER

            Answered 2020-Oct-28 at 20:55

            So the problem is this line from the docs:

            hres (float) – The horizontal resolution of the generated grid, given in the same units as the x and y parameters. Default 50000.

            Here you pass hres=5000, which is saying "generate a grid with 5000 units between points". For points coming through a map projection, this is generally meters, except that you're using PlateCarree(), where the points are given in degrees. So for your current map projection, you should use an hres value in degrees, so maybe 0.25 or 0.1. You'll also want to adjust search_radius to a value in degrees (rather than the current 40km) as well--or leave it out and it will try to calculate something sensible.

            Source https://stackoverflow.com/questions/64577436

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

            Vulnerabilities

            No vulnerabilities reported

            Install python-Cartopy

            You can download it from GitHub.

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