pyngl | Python module built on top of NCL 's graphics | Data Visualization library

by NCAR C Version: Current License: Non-SPDX

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kandi X-RAY | pyngl Summary

pyngl is a C library typically used in Analytics, Data Visualization applications. pyngl has no bugs, it has no vulnerabilities and it has low support. However pyngl has a Non-SPDX License. You can download it from GitHub.

PyNGL ("pingle") is a Python module built on top of NCL's graphics library, which produces publication-quality, two-dimensional visualizations tailored for climate and weather data.

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Support

pyngl has a low active ecosystem.

It has 108 star(s) with 21 fork(s). There are 22 watchers for this library.

It had no major release in the last 6 months.

There are 32 open issues and 12 have been closed. On average issues are closed in 84 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyngl is current.

Quality

pyngl has no bugs reported.

Security

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

License

pyngl 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.

Reuse

pyngl releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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pyngl Key Features

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pyngl Examples and Code Snippets

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Community Discussions

Trending Discussions on pyngl

Missing_value attribute is lost reading data from a netCDF file?

QUESTION

Missing_value attribute is lost reading data from a netCDF file?

Asked 2019-Apr-15 at 17:40

I'm reading wind components (u and v) data from a netCDF file from NCEP/NCAR Reanalysis 1 to make some computations. I'm using xarray to read the file.

In one of the computations, I'd like to mask out all data below some threshould, make them be equal to the missing_value attribute. I don't want to use NaN's.

However, when reading the data with xarray, the missing_value attribute - present in the variable in the netCDF file - isn't copied to xarray.DataArray that contained the data.

I couldn't find a way to copy this attribute from netCDF file variable, with xarray.

Here is an example of what I'm trying to do:

...

ANSWER

Answered 2019-Apr-15 at 17:40

The "missing_value" attribute is kept in the encoding dictionary. Other attributes like "units" or "standard_name" are kept in the attrs dictionary. For example:

Source https://stackoverflow.com/questions/55651483

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