This page provides an auto-generated summary of UXarray’s API. For more details and examples, refer to the relevant chapters in the main part of the documentation.
Top Level Functions# Grid# Constructors# Indexing# Dimensions# Spherical Coordinates# Cartesian Coordinates# Connectivity# Descriptors# Attributes# Methods# Inheritance of Xarray Functionality#The primary data structures in UXarray, uxarray.UxDataArray and uxarray.UxDataset inherit from xarray.DataArray and xarray.Dataset respectively. This means that they contain the same methods and attributes that are present in Xarray, with new additions and some overloaded as discussed in the next sections. For a detailed list of Xarray specific behavior and functionality, please refer to Xarray’s documentation.
UXarray provides functionality to convert its unstructured grids representation to other data structures that can be ingested by existing, widely used tools, such as Matplotlib and Cartopy. This allows users to keep using their workflows with such tools.
Grid# UxDataArray# UxDataset# Plotting#UXarray’s plotting API is written using hvPlot. We also support standalone functions for pure Matplotlib and Cartopy workflows.
Grid# UxDataArray# Subsetting# Grid# UxDataArray# Cross Sections# Grid# UxDataArray# Remapping# UxDataArray# UxDataset# Mathematical Operators# Dual Mesh Construction# Aggregations# Topological#Topological aggregations apply an aggregation (i.e. averaging) on a per-element basis. For example, instead of computing the average across all values, we can compute the average of all the nodes that surround each face and store the result on each face.
Zonal Average# Weighted# Spherical Geometry# Intersections# Arcs# Accurate Computing#RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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