invert4geom.plot_prism_layers

invert4geom.plot_prism_layers#

plot_prism_layers(prisms, cmap='viridis', color_by='density', region=None, opacity=1, zscale=75, log_scale=False, clip_box=False, box_buffer=5000.0, show_axes=True, camera_position='xz', elevation=20, azimuth=-25, zoom=1.2, backend='static', cbar_args=None, constant_colors=None, show_edges=False)[source]#

show prism layers using PyVista

Parameters:

  • prisms (list | xarray.Dataset) – either a single harmonica prism layer of list of layers,

  • cmap (str, optional) – matplotlib colorscale to use, by default “viridis”

  • color_by (str, optional) – either use a variable of the prism_layer dataset, typically ‘density’ or ‘thickness’, or choose ‘constant’ to have each layer colored by a unique color use kwarg colors to alter these colors, by default is “density”

  • region (tuple[float, float, float, float], optional) – region to clip the model to, by default None

  • clip_box (bool, optional) – clip a corner out of the model to help visualize, by default False

  • opacity (float)

  • zscale (float)

  • log_scale (bool)

  • box_buffer (float)

  • show_axes (bool)

  • camera_position (str)

  • elevation (float)

  • azimuth (float)

  • zoom (float)

  • backend (str)

  • cbar_args (dict[str, Any] | None)

  • constant_colors (list[str] | None)

  • show_edges (bool)

Return type:

None

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