.. _sec-plot: plot.plot ========== ``plot(grid, fig=None, basemap=False, show=True, dtype=None, nan_transparent=False, cmap="magma", region=None, contours=False, projection="M15c", title="", savefile=None,)`` Uses pygmt to plot grid objects. Arguments: ---------- - **grid** (*xarray.DataArray or str*): grid object to plot in 2D - **figure** (*pygmt.Figure, optional*): figure object to add features to - **basemap** (*bool, optional*): adds basemap to figure - **show** (*bool, optional*): runs Figure.show() if True - **dtype** (*str, optional*): adds labels to figrure - **nan_transparent** (*bool, optional*): determines whether nan values in grid are plotted - **cmap** (*str, optional*): specify the Matplotlib colormap to use - **region** (*list, optional*): specifies the region to use for plotting - **contours** (*bool, optional*): adds contour lines to the plot - **projection** (*str, optional*): map projection to use - **title** (*str, optional*): title for the figure - **savefile** (*str, optional*): file to save figure to Returns: -------- *None* Example ------- .. code-block:: python import plot # load in the synthetic test model as a slab_model instance model = plot.slab_model("../output/exp_slab2_04-18","surface") # synthetic test slab made with the 04-18 database # making a plot of the model depth plot.plot( model.dep_grid, # specifies which grid object to plot contours=True, # add contour lines to the plot basemap=True, # add basemap to the plot nan_transparent=True, # removing nan values to make basemap visible title="exp slab model with 04-18 database", # adding a title to the plot dtype="depth", # specifying the datatype for labeling the colorbar savefile="output/exp_slab2_04-18_depth.jpg", # saving the figure to a jpeg file region=model.region, # specifying the region boundaries to use show=True # display the figure ) .. _plot_example_figure: .. figure:: figures/exp_slab2_04-18_depth.jpg Output of example shown above