NC² is a versatile NetCDF viewer for quickly plotting data leveraging Matplotlib and Cartopy to produce publication-quality plots.
NC² features a clean and intuitive graphical user interface (GUI) that significantly reduces the learning curve for new users.
One of the standout features of NC² is its ability to produce publication-quality plots. Users can create highly customizable plots that meet standards required for scientific publications, ensuring that their visualizations are both accurate and aesthetically pleasing.
NC² is designed to handle a wide range of NetCDF data types. Whether you are working with atmospheric data, oceanographic measurements, or climate model outputs, NC² provides the tools you need to visualize and analyze your data effectively.
NC² offers a variety of customization options, allowing users to tailor their plots to their specific needs. From adjusting color maps, extents, and labels, to changing projections, NC² makes it easy to create detailed and informative visualizations.
In addition to basic plotting functionalities, NC² provides advanced features such as time series analysis, vertical sections, and GIF generation. These features enable users to gain deeper insights into their data and conduct more comprehensive analyses.
To install NC², run the following command:
pip install nc2
After installation, you can run NC² from the command line as follows:
nc2 path/to/your/file.nc
For any inquiries, suggestions, or feedback, feel free to reach out:
Email: rhettadambusiness@gmail.com
Rhett R. Adam
VU Undergrad EES