Collect all layout visualization tools in FLORIS

examples/02_visualizations.py

@@ -2,7 +2,7 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
-import floris.tools.visualization as wakeviz
+import floris.tools.flow_visualization as flowviz
 from floris.tools import FlorisInterface
 
 
@@ -60,19 +60,19 @@
 # Create the plots
 fig, ax_list = plt.subplots(3, 1, figsize=(10, 8))
 ax_list = ax_list.flatten()
-wakeviz.visualize_cut_plane(
+flowviz.visualize_cut_plane(
     horizontal_plane,
     ax=ax_list[0],
     label_contours=True,
     title="Horizontal"
 )
-wakeviz.visualize_cut_plane(
+flowviz.visualize_cut_plane(
     y_plane,
     ax=ax_list[1],
     label_contours=True,
     title="Streamwise profile"
 )
-wakeviz.visualize_cut_plane(
+flowviz.visualize_cut_plane(
     cross_plane,
     ax=ax_list[2],
     label_contours=True,
@@ -81,15 +81,15 @@
 
 # Some wake models may not yet have a visualization method included, for these cases can use
 # a slower version which scans a turbine model to produce the horizontal flow
-horizontal_plane_scan_turbine = wakeviz.calculate_horizontal_plane_with_turbines(
+horizontal_plane_scan_turbine = flowviz.calculate_horizontal_plane_with_turbines(
     fi,
     x_resolution=20,
     y_resolution=10,
     yaw_angles=np.array([[25.,0.,0.]]),
 )
 
 fig, ax = plt.subplots()
-wakeviz.visualize_cut_plane(
+flowviz.visualize_cut_plane(
     horizontal_plane_scan_turbine,
     ax=ax,
     label_contours=True,
@@ -104,7 +104,7 @@
 fi.run()
 
 # Plot the values at each rotor
-fig, axes, _ , _ = wakeviz.plot_rotor_values(
+fig, axes, _ , _ = flowviz.plot_rotor_values(
     fi.floris.flow_field.u,
     findex=0,
     n_rows=1,
@@ -132,7 +132,7 @@
 fi.run()
 
 # Plot the values at each rotor
-fig, axes, _ , _ = wakeviz.plot_rotor_values(
+fig, axes, _ , _ = flowviz.plot_rotor_values(
     fi.floris.flow_field.u,
     findex=0,
     n_rows=1,
@@ -141,4 +141,9 @@
 )
 fig.suptitle("Rotor Plane Visualization, 10x10 Resolution")
 
-wakeviz.show_plots()
+# Show plots
+plt.show()
+
+# Note if the user doesn't import matplotlib.pyplot as plt, the user can
+# use the following to show the plots:
+# flowviz.show()

examples/03_making_adjustments.py

@@ -2,7 +2,8 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
-import floris.tools.visualization as wakeviz
+import floris.tools.flow_visualization as flowviz
+import floris.tools.layout_visualization as layoutviz
 from floris.tools import FlorisInterface
 
 
@@ -25,7 +26,7 @@
 
 # Plot a horizatonal slice of the initial configuration
 horizontal_plane = fi.calculate_horizontal_plane(height=90.0)
-wakeviz.visualize_cut_plane(
+flowviz.visualize_cut_plane(
     horizontal_plane,
     ax=axarr[0],
     title="Initial setup",
@@ -35,7 +36,7 @@
 
 # Change the wind speed
 horizontal_plane = fi.calculate_horizontal_plane(ws=[7.0], height=90.0)
-wakeviz.visualize_cut_plane(
+flowviz.visualize_cut_plane(
     horizontal_plane,
     ax=axarr[1],
     title="Wind speed at 7 m/s",
@@ -47,7 +48,7 @@
 # Change the wind shear, reset the wind speed, and plot a vertical slice
 fi.set(wind_shear=0.2, wind_speeds=[8.0])
 y_plane = fi.calculate_y_plane(crossstream_dist=0.0)
-wakeviz.visualize_cut_plane(
+flowviz.visualize_cut_plane(
     y_plane,
     ax=axarr[2],
     title="Wind shear at 0.2",
@@ -63,15 +64,15 @@
 )
 fi.set(layout_x=X.flatten(), layout_y=Y.flatten(), wind_directions=[270.0])
 horizontal_plane = fi.calculate_horizontal_plane(height=90.0)
-wakeviz.visualize_cut_plane(
+flowviz.visualize_cut_plane(
     horizontal_plane,
     ax=axarr[3],
     title="3x3 Farm",
     min_speed=MIN_WS,
     max_speed=MAX_WS
 )
-wakeviz.add_turbine_id_labels(fi, axarr[3], color="w", backgroundcolor="k")
-wakeviz.plot_turbines_with_fi(fi, axarr[3])
+layoutviz.plot_turbine_labels(fi, axarr[3],plotting_dict={'color':"w"})#, backgroundcolor="k")
+layoutviz.plot_turbine_rotors(fi, axarr[3])
 
 # Change the yaw angles and configure the plot differently
 yaw_angles = np.zeros((1, N * N))
@@ -87,20 +88,20 @@
 yaw_angles[:,7] = -30.0
 
 horizontal_plane = fi.calculate_horizontal_plane(yaw_angles=yaw_angles, height=90.0)
-wakeviz.visualize_cut_plane(
+flowviz.visualize_cut_plane(
     horizontal_plane,
     ax=axarr[4],
     title="Yawesome art",
     cmap="PuOr",
     min_speed=MIN_WS,
     max_speed=MAX_WS
 )
-wakeviz.plot_turbines_with_fi(fi, axarr[4], yaw_angles=yaw_angles, color="c")
+layoutviz.plot_turbine_rotors(fi, axarr[4], yaw_angles=yaw_angles, color="c")
 
 
 # Plot the cross-plane of the 3x3 configuration
 cross_plane = fi.calculate_cross_plane(yaw_angles=yaw_angles, downstream_dist=610.0)
-wakeviz.visualize_cut_plane(
+flowviz.visualize_cut_plane(
     cross_plane,
     ax=axarr[5],
     title="Cross section at 610 m",
@@ -110,4 +111,4 @@
 axarr[5].invert_xaxis()
 
 
-wakeviz.show_plots()
+plt.show()

examples/16_heterogeneous_inflow.py

@@ -2,7 +2,7 @@
 import matplotlib.pyplot as plt
 
 from floris.tools import FlorisInterface
-from floris.tools.visualization import visualize_cut_plane
+from floris.tools.flow_visualization import visualize_cut_plane
 
 
 """

examples/16b_heterogeneity_multiple_ws_wd.py

@@ -3,7 +3,7 @@
 import numpy as np
 
 from floris.tools import FlorisInterface
-from floris.tools.visualization import visualize_cut_plane
+from floris.tools.flow_visualization import visualize_cut_plane
 
 
 """

examples/17_multiple_turbine_types.py

@@ -1,7 +1,7 @@
 
 import matplotlib.pyplot as plt
 
-import floris.tools.visualization as wakeviz
+import floris.tools.flow_visualization as flowviz
 from floris.tools import FlorisInterface
 
 
@@ -24,8 +24,8 @@
 # Create the plots
 fig, ax_list = plt.subplots(3, 1, figsize=(10, 8))
 ax_list = ax_list.flatten()
-wakeviz.visualize_cut_plane(horizontal_plane, ax=ax_list[0], title="Horizontal")
-wakeviz.visualize_cut_plane(y_plane, ax=ax_list[1], title="Streamwise profile")
-wakeviz.visualize_cut_plane(cross_plane, ax=ax_list[2], title="Spanwise profile")
+flowviz.visualize_cut_plane(horizontal_plane, ax=ax_list[0], title="Horizontal")
+flowviz.visualize_cut_plane(y_plane, ax=ax_list[1], title="Streamwise profile")
+flowviz.visualize_cut_plane(cross_plane, ax=ax_list[2], title="Spanwise profile")
 
-wakeviz.show_plots()
+plt.show()

examples/23_layout_visualizations.py

@@ -0,0 +1,93 @@
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+import floris.tools.layout_visualization as layoutviz
+from floris.tools import FlorisInterface
+from floris.tools.flow_visualization import visualize_cut_plane
+
+
+"""
+This example shows a number of different ways to visualize a farm layout using FLORIS
+"""
+
+# Create the plotting objects using matplotlib
+fig, axarr = plt.subplots(3, 3, figsize=(16, 10), sharex=False)
+axarr = axarr.flatten()
+
+MIN_WS = 1.0
+MAX_WS = 8.0
+
+# Initialize FLORIS with the given input file via FlorisInterface
+fi = FlorisInterface("inputs/gch.yaml")
+
+# Change to 5-turbine layout with a wind direction from northwest
+fi.set(
+    layout_x=[0, 0, 1000, 1000, 1000], layout_y=[0, 500, 0, 500, 1000], wind_directions=[300]
+)
+
+# Plot 1: Visualize the flow
+ax = axarr[0]
+# Plot a horizatonal slice of the initial configuration
+horizontal_plane = fi.calculate_horizontal_plane(height=90.0)
+visualize_cut_plane(
+    horizontal_plane,
+    ax=ax,
+    min_speed=MIN_WS,
+    max_speed=MAX_WS,
+)
+# Plot the turbine points, setting the color to white
+layoutviz.plot_turbine_points(fi, ax=ax, plotting_dict={"color": "w"})
+ax.set_title('Flow visualization and turbine points')
+
+# Plot 2: Show a particular flow case
+ax = axarr[1]
+turbine_names = [f"T{i}" for i in [10, 11, 12, 13, 22]]
+layoutviz.plot_turbine_points(fi, ax=ax)
+layoutviz.plot_turbine_labels(fi,
+                       ax=ax,
+                       turbine_names=turbine_names,
+                       show_bbox=True,
+                       bbox_dict={'facecolor':'r'})
+ax.set_title("Show turbine names with a red bounding box")
+
+
+# Plot 2: Show turbine rotors on flow
+ax = axarr[2]
+horizontal_plane = fi.calculate_horizontal_plane(height=90.0,
+                                                 yaw_angles=np.array([[0., 30., 0., 0., 0.]]))
+visualize_cut_plane(
+    horizontal_plane,
+    ax=ax,
+    min_speed=MIN_WS,
+    max_speed=MAX_WS
+)
+layoutviz.plot_turbine_rotors(fi,ax=ax,yaw_angles=np.array([[0., 30., 0., 0., 0.]]))
+ax.set_title("Flow visualization with yawed turbine")
+
+# Plot 3: Show the layout, including wake directions
+ax = axarr[3]
+layoutviz.plot_turbine_points(fi, ax=ax)
+layoutviz.plot_turbine_labels(fi, ax=ax, turbine_names=turbine_names)
+layoutviz.plot_waking_directions(fi, ax=ax)
+ax.set_title("Show turbine names and wake direction")
+
+# Plot 4: Plot a subset of the layout, and limit directions less than 7D
+ax = axarr[4]
+layoutviz.plot_turbine_points(fi, ax=ax, turbine_indices=[0,1,2,3])
+layoutviz.plot_turbine_labels(fi, ax=ax, turbine_names=turbine_names, turbine_indices=[0,1,2,3])
+layoutviz.plot_waking_directions(fi, ax=ax, turbine_indices=[0,1,2,3], limit_dist_D=7)
+ax.set_title("Plot a subset and limit wake line distance")
+
+# Plot with a shaded region
+ax = axarr[5]
+layoutviz.plot_turbine_points(fi, ax=ax)
+layoutviz.shade_region(np.array([[0,0],[300,0],[300,1000],[0,700]]),ax=ax)
+ax.set_title("Plot with a shaded region")
+
+# Change hub heights and plot as a proxy for terrain
+ax = axarr[6]
+fi.floris.farm.hub_heights = np.array([110, 90, 100, 100, 95])
+layoutviz.plot_farm_terrain(fi, ax=ax)
+
+plt.show()

examples/24_floating_turbine_models.py

@@ -3,7 +3,6 @@
 import numpy as np
 
 from floris.tools import FlorisInterface
-from floris.tools.layout_functions import visualize_layout
 
 
 """

examples/25_tilt_driven_vertical_wake_deflection.py

@@ -3,7 +3,7 @@
 import numpy as np
 
 from floris.tools import FlorisInterface
-from floris.tools.visualization import visualize_cut_plane
+from floris.tools.flow_visualization import visualize_cut_plane
 
 
 """

examples/26_empirical_gauss_velocity_deficit_parameters.py

@@ -5,7 +5,7 @@
 import numpy as np
 
 from floris.tools import FlorisInterface
-from floris.tools.visualization import plot_rotor_values, visualize_cut_plane
+from floris.tools.flow_visualization import plot_rotor_values, visualize_cut_plane
 
 
 """

examples/27_empirical_gauss_deflection_parameters.py

@@ -5,7 +5,7 @@
 import numpy as np
 
 from floris.tools import FlorisInterface
-from floris.tools.visualization import plot_rotor_values, visualize_cut_plane
+from floris.tools.flow_visualization import plot_rotor_values, visualize_cut_plane
 
 
 """