Xarray plot map. Oct 6, 2025 · On the right is a histogram created by xarray. Time Series Plot # Plot using xarray. To plot xarray. These plots build on Bokeh. Here we focus mostly on Geography with Cartopy # Since xarray’s default plotting functionality builds on matplotlib, we can seamlessly use cartopy to make nice maps: Specify a projection for the plot when creating a new figure fig with axis axis. 2. Below are various plotting options for different types of data: Single Variable Data (xarray. These same labels can also be used to easily create informative plots. Oct 6, 2025 · Multiple plots and map projections # Control the map projection parameters on multiple axes This example illustrates how to plot multiple maps and control their extent and aspect ratio. xarray provides convenient methods to plot DataArray and Dataset objects directly. By using (Leaflet or deck. For information about specific plot types and customization options, see Plot Types and Customization. FacetGrid(data, col=None, row=None, col_wrap=None, sharex=True, sharey=True, figsize=None, aspect=1, size=3, subplot_kws=None) [source] # Initialize the Matplotlib figure and FacetGrid object. Here we focus mostly on Apr 25, 2025 · Plotting API Relevant source files This page documents the visualization system within xarray, which provides a high-level interface for creating plots from DataArray and Dataset objects using matplotlib as the backend. The xarray website provides clear instructions, but we will cover some advanced usage here. DataArray. streamplot All xarray plotting methods support additional Matplotlib keyword arguments (**kwargs) for further customization. For convenience, xarray’s plotting methods also support the aspect and size arguments which control the size of the resulting image via the formula figsize = (aspect * size, size): Plotting # Introduction # Labeled data enables expressive computations. plot. Here we focus mostly on arrays 2d or larger. Dataset objects simply access the relevant DataArrays, ie dset['var1']. Mutually exclusive with size, figsize and facets. hist(). ax (matplotlib axes object, optional) – Axes on which to plot. If False, the original coordinates are used (this can be useful for certain map projections). 0 or later needs to be installed. plot(). To plot Dataset objects simply access the relevant DataArrays, i. Explicitly ask xarray to plot to axis axis by passing the kwarg ax=axis. 4 days ago · Plotting # Introduction # Labeled data enables expressive computations. My problem is that I can only get imshow to plot the logical coordinates x and y which Introduction ¶ Labeled data enables expressive computations. DataArray objects. By default, use the current axes. For more extensive plotting applications consider the following projects: Jun 28, 2022 · Using libraries like xarray and cartopy, we can quickly select the data that we want, clip the data, transform the data, plot the data over map in specific coordinate system and much more. xarray-leaflet: 2D map plotting based on ipyleaflet (and thus LeafletJS). Interactive plots using hvplot # Xarray’s builtin plotting functionality wraps matplotlib. There are basically four types of projections available namely Azimuthal, Conic, Cylindrical and Pseudo-cylindrical. colors (str or array-like of color-like, optional) – A single color or a sequence of Oct 10, 2025 · col_wrap (int or None, optional) – Use together with col to wrap faceted plots. FacetGrid # class xarray. If faceting on the hue dimension, it must also take a label keyword xarray is also able to plot lines by wrapping plt. Specify the projection of the data using transform (PlateCarree here) in . xarray Plotting (II): Plotting Data with More Than 2 Dimensions # Global Map or Maps Crossing 180˚ Longitude # When plotting global maps on the Plate Carrée projection using cartopy, the default central meridian is 0˚ and the map extent is from -180˚ to 180˚ (see details in this StackOverflow post). Dataset. xarray Plotting (I): Plotting 1-Dimensional Data # Visualizing data with clear and aesthetic figures is crucial for demonstrating results. If your data fits nicely into a pandas DataFrame . Nov 5, 2020 · They are xarray extensions that offer tiled map plotting capabilities. For more details see this discussion on github. The FacetGrid is an object that links a xarray DataArray to a Matplotlib figure with a particular structure. Here we focus mostly on Aug 24, 2025 · 8. line. e. plot): 1D - Line Plot / Time Series Plot: xarray. Xarray’s plotting capabilities are centered around DataArray objects. line Oct 6, 2025 · col_wrap (int or None, optional) – Use together with col to wrap faceted plots. map # FacetGrid. Plotting # Introduction # Labeled data enables expressive computations. The default is to always infer intervals, unless the mesh is irregular and plotted on a map projection. Aug 24, 2025 · Streamplot: xarray. map Parameters: func (callable()) – A plotting function with the same signature as a 2d xarray plotting method such as xarray. gl) tiles in the frond-end and (xarray) chunks in the back-end, they are especially good at visualizing big data, possibly stored in the cloud. keep_attrs (bool or None, optional) – If True, both the dataset’s and variables Oct 6, 2025 · col_wrap (int or None, optional) – Use together with col to wrap faceted plots. plot () dispatches to an appropriate plotting function based on the dimensions of the DataArray and whether the coordinates are sorted and uniformly spaced. Overview Xarray's plotting API makes it easy to create visualizations Oct 6, 2025 · xarray. Sep 4, 2025 · This is more convenient and less general than FacetGrid. Xarray maps In this example, we will start exporting eReefs data using the Xarray library and do similar visualisation as the ones we did with Numpy. I am trying to make seasonal maps out of climate datasets using the function imshow from the matplotlib toolbox. Parameters: func (callable()) – A plotting function that takes data and keyword arguments. FacetGrid. xarray’s plotting capabilities are centered around xarray. Here we focus mostly on Jan 2, 2025 · Plotting # Introduction # Labeled data enables expressive computations. map(func, keep_attrs=None, args=(), **kwargs) [source] # Apply a function to each data variable in this dataset Parameters: func (callable()) – Function which can be called in the form func (x, *args, **kwargs) to transform each DataArray x in this dataset into another DataArray. Controlling the figure size # You can pass a figsize argument to all xarray’s plotting methods to control the figure size. As in the earlier examples, the axes are labelled and keyword arguments can be passed to the underlying matplotlib call. Supports custom projections. Oct 6, 2025 · col_wrap (int or None, optional) – Use together with col to wrap faceted plots. colors (str or array-like of color-like, optional) – A single color or a sequence of Oct 6, 2025 · If True, the coordinate intervals are passed to pcolormesh. Using Xarray data with Cartopy To plot some Xarray data from our example dataset we’ll need to select a single day (or combine multiple days together). map(func, *args, **kwargs) [source] # Apply a plotting function to each facet’s subset of the data. imshow x, y (string) – Names of the coordinates to plot on x, y axes **kwargs – additional keyword arguments to func Returns: self (FacetGrid object) Aug 24, 2025 · 9. datetime objects nc-time-axis v1. The holoviews ecosystem provides the hvplot package to allow easy visualization of xarray (and other) objects. hue (Hashable or None, optional) – If passed, make faceted line plots with hue on this dimension name. Here we focus mostly on Oct 6, 2025 · If True, the coordinate intervals are passed to pcolormesh. It must plot to the currently active matplotlib Axes and take a color keyword argument. The Cartopy library allows us to create high quality map images, with a variety of different projections, map styles and showing the outlines of coasts and country boundaries. Fill-Between # The convenience method xarray. Oct 26, 2022 · Xarray Map Plotting comes with a variety of projections. hvplot makes uses of xarray’s accessor interface. In particular, FacetGrid is used to draw plots with Matplotlib must be installed before xarray can plot. dset['var1']. Dataset specific plotting routines are also available (see Datasets). Below is an example of a map with the default projection setting of the Plate Carrée Jan 3, 2025 · Plotting # Introduction # Labeled data enables expressive computations. To use xarray’s plotting capabilities with time coordinates containing cftime. Oct 6, 2025 · xarray. map # Dataset. Here we focus mostly on Creating nice maps with xarray xarray basic plotting options are enough to make quick plots, but for your paper’s figures you probably want to have more options. 5u5tb itb hgrom n1jv hozab qaovee b9zsef rb14 lvq0 ethx