gemgis.visualization.plot_orientations#

gemgis.visualization.plot_orientations(gdf: Union[geopandas.geodataframe.GeoDataFrame, pandas.core.frame.DataFrame], show_planes: bool = True, show_density_contours: bool = True, show_density_contourf: bool = False, formation: str = None, method: str = 'exponential_kamb', sigma: Union[float, int] = 1, cmap: str = 'Blues_r')#

Plotting orientation values of a GeoDataFrame with mplstereonet

Parameters

  • gdf (Union[gpd.geodataframe.GeoDataFrame, pd.DataFrame]) – (Geo-)DataFrame containing columns with orientations values

  • show_planes (bool) – Variable to show planes of orientation values. Options include: True or False, default set to True

  • show_density_contours (bool) – Variable to display density contours. Options include: True or False, default set to True

  • show_density_contourf (bool) – Variable to display density contourf. Options include: True or False, default set to False

  • formation (str) – Name of the formation for which the contourf plot is shown, e.g. formation='Layer1', default is None

  • method (str) – Method to estimate the orientation density distribution, method='exponential_kamb', default is 'exponential_kamb'

  • sigma (Union[float, int]) – Expected count in standard deviations, e.g. sigma=1, default is 1

  • cmap (str) – Name of the colormap for plotting the orientation densities, e.g. cmap='Blues_r', default is 'Blues_r'

New in version 1.0.x.

Example

>>> # Loading Libraries and File
>>> import gemgis as gg
>>> import geopandas as gpd
>>> gdf = gpd.read_file(filename='file.shp')
>>> gdf
    id      formation   dip     azimuth geometry
0   None    Sand        25.00   310     POINT (49.249 1033.893)
1   None    Sand        30.00   315     POINT (355.212 947.557)
2   None    Sand        15.00   330     POINT (720.248 880.912)
3   None    Clay        10.00   135     POINT (526.370 611.300)
4   None    Clay        25.00   140     POINT (497.591 876.368)
5   None    Clay        35.00   50      POINT (394.593 481.039)

>>> # Creating plot
>>> gg.visualization.plot_orientations(gdf=gdf, show_planes=True, show_density_contours=False, show_density_contourf=False)