'4': 'Sky View'
}
if all_required_inputs(ghenv.Component) and _run:
# process the view_type_ and set the default values
vt_str = VIEW_TYPES[_view_type]
_resolution_ = _resolution_ if _resolution_ is not None else 1
_offset_dist_ = _offset_dist_ if _offset_dist_ is not None \
else 0.1 / conversion_to_meters()
if _geo_block_ is None:
_geo_block_ = True if vt_str in ('Sky Exposure', 'Sky View') else False
# create the gridded mesh from the geometry
study_mesh = to_joined_gridded_mesh3d(_geometry, _grid_size, _offset_dist_)
points = [from_point3d(pt) for pt in study_mesh.face_centroids]
hide_output(ghenv.Component, 1)
# get the view vectors based on the view type
patch_wghts = None
if vt_str == 'Horizontal Radial':
lb_vecs = view_sphere.horizontal_radial_vectors(30 * _resolution_)
elif vt_str == 'Horizontal 30-Degree Offset':
patch_mesh, lb_vecs = view_sphere.horizontal_radial_patches(
30, _resolution_)
patch_wghts = view_sphere.horizontal_radial_patch_weights(
30, _resolution_)
elif vt_str == 'Spherical':
patch_mesh, lb_vecs = view_sphere.sphere_patches(_resolution_)
patch_wghts = view_sphere.sphere_patch_weights(_resolution_)
else:
patch_mesh, lb_vecs = view_sphere.dome_patches(_resolution_)
for seg in windrose.orientation_lines]
freq_line = [from_polygon2d(poly, _center_pt_.z) for poly in windrose.frequency_lines]
windrose_lines = [from_polygon2d(poly, _center_pt_.z) for poly in windrose.windrose_lines]
fac = (i + 1) * windrose.compass_radius * 3
center_pt_2d = Point2D(_center_pt_.x + fac, _center_pt_.y)
# collect everything to be output
mesh.append(msh)
all_compass.append(compass)
all_orient_line.append(orient_line)
all_freq_line.append(freq_line)
all_windrose_lines.append(windrose_lines)
all_legends.append(legend)
title.append(titl)
calm = windrose.zero_count if isinstance(speed_data.header.data_type, Speed) else None
calm_hours.append(calm)
histogram.append(objectify_output('WindRose {}'.format(i), windrose.histogram_data))
# convert nested lists into data trees
compass = list_to_data_tree(all_compass)
orient_line = list_to_data_tree(all_orient_line)
freq_line = list_to_data_tree(all_freq_line)
windrose_line = list_to_data_tree(all_windrose_lines)
legend = list_to_data_tree(all_legends)
hide_output(ghenv.Component, 5) # keep the devault visual simple
# compute direction angles and prevailing direction
theta = 180.0 / windrose._number_of_directions
angles = [(angle + theta) % 360.0 for angle in windrose.angles[:-1]]
prevailing = windrose.prevailing_direction