netcdf4-python | numpy interface to the netCDF C library | File Utils library

 by   Unidata Python Version: v1.5.7rel License: MIT

kandi X-RAY | netcdf4-python Summary

kandi X-RAY | netcdf4-python Summary

netcdf4-python is a Python library typically used in Utilities, File Utils applications. netcdf4-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install netcdf4-python' or download it from GitHub, PyPI.

Python/numpy interface to the netCDF C library.
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            kandi-support Support

              netcdf4-python has a low active ecosystem.
              It has 536 star(s) with 219 fork(s). There are 37 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 99 open issues and 663 have been closed. On average issues are closed in 16 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of netcdf4-python is v1.5.7rel

            kandi-Quality Quality

              netcdf4-python has 0 bugs and 0 code smells.

            kandi-Security Security

              netcdf4-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              netcdf4-python code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              netcdf4-python is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              netcdf4-python releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              netcdf4-python saves you 4924 person hours of effort in developing the same functionality from scratch.
              It has 8838 lines of code, 244 functions and 62 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed netcdf4-python and discovered the below as its top functions. This is intended to give you an instant insight into netcdf4-python implemented functionality, and help decide if they suit your requirements.
            • Convert a netCDF3 file to a netCDF4
            • Helper function to create a netCDF4 dataset
            • Perform basic checks on incomming files
            • Print information about a netCDF file
            • Return the group with the given p
            • Convert a netCDF4 class to netCDF3 format
            • Copy a netCDF4 file into a dataset
            • Populate hdf5 info
            • Check for hdf5 version number
            • Check to see if the hdf5_version is available
            • Return all the netcdf versions of libdirs
            • Write a netCDF4 file
            • Get the version number of the given direc
            • Get the data
            • Extracts the python version
            • Convert a JSON string to a python object
            • Read a netCDF file
            Get all kandi verified functions for this library.

            netcdf4-python Key Features

            No Key Features are available at this moment for netcdf4-python.

            netcdf4-python Examples and Code Snippets

            No Code Snippets are available at this moment for netcdf4-python.

            Community Discussions

            QUESTION

            netcdf4-python: Reading variable storage parameters
            Asked 2020-Oct-30 at 13:33

            Im trying to manually copy all dimensions, variables and attribute of a NetCDF-file to a new file. As in copy netcdf file using python this works well, except for the storage parameters like 'fill_value' or 'chunksizes'. In ncdump -sch, these parameters are shown with a leading underscore (_):

            ...

            ANSWER

            Answered 2020-Oct-30 at 01:54

            For information about chunk sizes, you can use the chunking() method on variables. Unfortunately, it looks like you can only access _FillValue if it's been set to a non-default value:

            Source https://stackoverflow.com/questions/64589975

            QUESTION

            Retrieve value of netCDF global attribute by name in Python
            Asked 2020-May-18 at 09:18

            How do I retrieve the value of a global attribute from a netCDF file in Python by its name?

            I have tried:

            ...

            ANSWER

            Answered 2020-May-18 at 09:18

            global_attribute_name is a parameter. You should replace it with the name of the attribute you are trying to retrieve, wrapped in quotes. So, let's say the name of the attribute is my_attr, then use

            Source https://stackoverflow.com/questions/61864111

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

            Vulnerabilities

            No vulnerabilities reported

            Install netcdf4-python

            The easiest way to install is through pip:. or, if you are a user of the Conda package manager,.
            Clone GitHub repository (git clone https://github.com/Unidata/netcdf4-python.git). Make sure numpy and Cython are installed and you have Python 3.6 or newer. Make sure HDF5 and netcdf-4 are installed, and the nc-config utility is in your Unix PATH. Run python setup.py build, then pip install -e .. To run all the tests, execute cd test && python run_all.py.
            Clone GitHub repository (git clone https://github.com/Unidata/netcdf4-python.git)
            Make sure numpy and Cython are installed and you have Python 3.6 or newer.
            Make sure HDF5 and netcdf-4 are installed, and the nc-config utility is in your Unix PATH.
            Run python setup.py build, then pip install -e ..
            To run all the tests, execute cd test && python run_all.py.

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