code: # Copyright 2021 NREL
  
  # Licensed under the Apache License, Version 2.0 (the "License"); you may not
  # use this file except in compliance with the License. You may obtain a copy of
  # the License at http://www.apache.org/licenses/LICENSE-2.0
  
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
  # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
  # License for the specific language governing permissions and limitations under
  # the License.
  
  # See https://floris.readthedocs.io for documentation
  
  
  import matplotlib.pyplot as plt
  
  import floris.tools as wfct
  import floris.tools.cut_plane as cp
  
  
  # Initialize the FLORIS interface fi
  fi = wfct.floris_interface.FlorisInterface("../example_input.json")
  
  # Single turbine at 0,0
  fi.reinitialize_flow_field(layout_array=([0], [0]))
  
  # Calculate wake
  fi.calculate_wake()
  
  # Grab some cross planes
  D = 126
  cut_plane_base_5 = fi.get_cross_plane(5 * D)
  cut_plane_base_in = fi.get_cross_plane(-5 * D)
  
  
  # Get the difference planes
  cut_plane_diff = cp.subtract(cut_plane_base_5, cut_plane_base_in)
  
  
  # Plot and show
  fig, axarr = plt.subplots(3, 1, figsize=(7, 10))
  
  ax = axarr[0]
  wfct.visualization.visualize_cut_plane(cut_plane_base_5, ax=ax, minSpeed=4, maxSpeed=8)
  ax.set_title("Baseline, 5D")
  
  ax = axarr[1]
  wfct.visualization.visualize_cut_plane(cut_plane_base_in, ax=ax, minSpeed=4, maxSpeed=8)
  ax.set_title("Baseline, Inflow")
  
  ax = axarr[2]
  wfct.visualization.visualize_cut_plane(cut_plane_diff, ax=ax, minSpeed=-2, maxSpeed=2)
  ax.set_title("5D - INFLOW")
  
  # Reverse axis  making the view upstream looking down
  for ax in axarr.flatten():
      wfct.visualization.reverse_cut_plane_x_axis_in_plot(ax)
  
  plt.savefig("sub_inflow.png", format='png', bbox_inches='tight', dpi=150)
  plt.show()
  
apis: matplotlib.pyplot.savefig matplotlib.pyplot.show matplotlib.pyplot.subplots