def create_rhino_mesh(_graphic, _lb_mesh):
"""Copied from Ladybug 'IncidentRadiation' Component
Arguments:
_graphic: (ladybug.graphic.GraphicContainer) The Laybug Graphic object
_lb_mesh: (Ladybug Mesh) A single joined mesh of the entire scene
Returns: (tuple)
mesh: (_)
legend: (_)
"""
# Create all of the visual outputs
_lb_mesh.colors = _graphic.value_colors
mesh = from_mesh3d(_lb_mesh)
legend = legend_objects(_graphic.legend)
return mesh, legend
for ival, ang in zip(int_vals, angles))
weight_result = sum(r * w for r, w in zip(w_res, patch_wghts))
results.append(weight_result * 100 / vec_count)
else:
if patch_wghts:
for int_list in int_matrix:
weight_result = sum(r * w
for r, w in zip(int_list, patch_wghts))
results.append(weight_result * 100 / vec_count)
else:
results = [
sum(int_list) * 100 / vec_count for int_list in int_matrix
]
# create the mesh and legend outputs
graphic = GraphicContainer(results, study_mesh.min, study_mesh.max,
legend_par_)
graphic.legend_parameters.title = '%'
if legend_par_ is None or legend_par_.are_colors_default:
graphic.legend_parameters.colors = Colorset.view_study()
title_txt = vt_str if vt_str in ('Sky Exposure', 'Sky View') else \
'{} View'.format(vt_str)
title = text_objects(title_txt, graphic.lower_title_location,
graphic.legend_parameters.text_height * 1.5,
graphic.legend_parameters.font)
# create all of the visual outputs
study_mesh.colors = graphic.value_colors
mesh = from_mesh3d(study_mesh)
legend = legend_objects(graphic.legend)
windrose.show_freq = _show_freq_
calm_text = ''
if isinstance(speed_data.header.data_type, Speed):
windrose.show_zeros = _show_calmrose_
calm_text = '\nCalm for {}% of the time = {} hours.'.format(
round(
windrose._zero_count / len(windrose.analysis_values) *
100.0, 2), windrose._zero_count)
windrose.base_point = Point2D(center_pt_2d.x, center_pt_2d.y)
# Make the mesh
mesh = from_mesh2d(windrose.colored_mesh, _center_pt_.z)
# Make the graphic outputs
legend = legend_objects(windrose.legend)
freq_per = windrose._frequency_hours / \
len([b for a in windrose.histogram_data for b in a])
freq_text = '\nEach closed polyline shows frequency of {}% = {} hours.'.format(
round(freq_per * 100, 1), windrose._frequency_hours)
title = text_objects(
title_text(speed_data) + calm_text + freq_text,
windrose.container.lower_title_location,
windrose.legend_parameters.text_height,
windrose.legend_parameters.font)
compass = compass_objects(windrose.compass, _center_pt_.z, None)
orient_line = [
from_linesegment2d(seg, _center_pt_.z)
for seg in windrose.orientation_lines
]
freq_line = [from_polygon2d(poly) for poly in windrose.frequency_lines]
if legend_par_[1].min is not None:
month_chart.set_minimum_by_index(legend_par_[1].min, 1)
if legend_par_[1].max is not None:
month_chart.set_maximum_by_index(legend_par_[1].max, 1)
# get the main pieces of geometry
d_meshes = month_chart.data_meshes
if d_meshes is not None:
data_mesh = [from_mesh2d(msh, z_val_tol) for msh in d_meshes]
d_lines = month_chart.data_polylines
if d_lines is not None:
data_lines = [from_polyline2d(lin, z_val_tol) for lin in d_lines]
borders = [from_polyline2d(month_chart.chart_border, z_val)] + \
[from_linesegment2d(line, z_val) for line in month_chart.y_axis_lines] + \
[from_linesegment2d(line, z_val_tol) for line in month_chart.month_lines]
legend = legend_objects(month_chart.legend)
# process all of the text-related outputs
title_txt = month_chart.title_text if global_title_ is None else global_title_
txt_hgt = month_chart.legend_parameters.text_height
font = month_chart.legend_parameters.font
title = text_objects(title_txt, month_chart.lower_title_location, txt_hgt,
font)
# process the first y axis
y1_txt = month_chart.y_axis_title_text1 if len(
y_axis_title_) == 0 else y_axis_title_[0]
y_title = text_objects(y1_txt, month_chart.y_axis_title_location1, txt_hgt,
font)
label1 = [
text_objects(txt, Plane(o=Point3D(pt.x, pt.y, z_val)), txt_hgt, font,
center_pt_i = Point2D(center_pt.x + fac, center_pt.y)
center_pt3d_i = Point3D(center_pt3d.x + fac, center_pt3d.y,
center_pt3d.z)
# create the ladybug compass object
lb_compass = Compass(radius, center_pt_i, north_)
# create a graphic container to generate colors and legends
n_data = data.filter_by_moys(
moys) # filter data collection by sun-up hours
graphic = GraphicContainer(n_data.values,
lb_compass.min_point3d(z),
lb_compass.max_point3d(z), lpar,
n_data.header.data_type,
n_data.header.unit)
all_legends.append(legend_objects(graphic.legend))
title.append(
text_objects(title_text(n_data), graphic.lower_title_location,
graphic.legend_parameters.text_height,
graphic.legend_parameters.font))
# create points, analemmas, daily arcs, and compass geometry
sun_pts_init = draw_sun_positions(suns, radius, center_pt3d_i)
analemma_i, daily_i = draw_analemma_and_arcs(
sp, datetimes, radius, center_pt3d_i)
compass_i = compass_objects(lb_compass, z, None, projection_,
graphic.legend_parameters.font)
all_analemma.append(analemma_i)
all_daily.append(daily_i)
all_compass.append(compass_i)
def draw_dome(dome_data, center, dome_name, legend_par):
"""Draw the dome mesh, compass, legend, and title for a sky dome.
Args:
dome_data: List of radiation values for the dome data
center: Point3D for the center of the sun path.
dome_name: Text for the dome name, which will appear in the title.
legend_par: Legend parameters to be used for the dome
Returns:
dome_mesh: A colored mesh for the dome based on dome_data.
dome_compass: A compass for the dome.
dome_legend: A leend for the colored dome mesh.
dome_title: A title for the dome.
values: A list of radiation values that align with the dome_mesh faces.
"""
# create the dome mesh and ensure patch values align with mesh faces
if len(dome_data) == 145: # tregenza sky
lb_mesh = view_sphere.tregenza_dome_mesh_high_res.scale(radius)
values = [] # high res dome has 3 x 3 faces per patch; we must convert
tot_i = 0 # track the total number of patches converted
for patch_i in view_sphere.TREGENZA_PATCHES_PER_ROW:
row_vals = []
for val in dome_data[tot_i:tot_i + patch_i]:
row_vals.extend([val] * 3)
for i in range(3):
values.extend(row_vals)
tot_i += patch_i
values = values + [dome_data[-1]
] * 18 # last patch has triangular faces
else: #reinhart sky
lb_mesh = view_sphere.reinhart_dome_mesh.scale(radius)
values = dome_data + [dome_data[-1]
] * 11 # last patch has triangular faces
# move and/or rotate the mesh as needed
if north != 0:
lb_mesh = lb_mesh.rotate_xy(math.radians(north), Point3D())
if center != Point3D():
lb_mesh = lb_mesh.move(Vector3D(center.x, center.y, center.z))
# project the mesh if requested
if projection_ is not None:
if projection_.title() == 'Orthographic':
pts = (Compass.point3d_to_orthographic(pt)
for pt in lb_mesh.vertices)
elif projection_.title() == 'Stereographic':
pts = (Compass.point3d_to_stereographic(pt, radius, center)
for pt in lb_mesh.vertices)
else:
raise ValueError(
'Projection type "{}" is not recognized.'.format(projection_))
pts3d = tuple(Point3D(pt.x, pt.y, z) for pt in pts)
lb_mesh = Mesh3D(pts3d, lb_mesh.faces)
# output the dome visualization, including legend and compass
move_fac = radius * 0.15
min_pt = lb_mesh.min.move(Vector3D(-move_fac, -move_fac, 0))
max_pt = lb_mesh.max.move(Vector3D(move_fac, move_fac, 0))
graphic = GraphicContainer(values, min_pt, max_pt, legend_par)
graphic.legend_parameters.title = 'kWh/m2'
lb_mesh.colors = graphic.value_colors
dome_mesh = from_mesh3d(lb_mesh)
dome_legend = legend_objects(graphic.legend)
dome_compass = compass_objects(
Compass(radius, Point2D(center.x, center.y), north), z, None,
projection_, graphic.legend_parameters.font)
# construct a title from the metadata
st, end = metadata[2], metadata[3]
time_str = '{} - {}'.format(st, end) if st != end else st
title_txt = '{} Radiation\n{}\n{}'.format(
dome_name, time_str, '\n'.join([dat for dat in metadata[4:]]))
dome_title = text_objects(title_txt, graphic.lower_title_location,
graphic.legend_parameters.text_height,
graphic.legend_parameters.font)
return dome_mesh, dome_compass, dome_legend, dome_title, values
else:
title_items = ['Psychrometric Chart']
title[j + j * len(data_)].append(
text_objects('\n'.join(title_items),
psy_chart.container.upper_title_location,
psy_chart.legend_parameters.text_height * 1.5,
psy_chart.legend_parameters.font, 0, 0))
psych_chart.append(psy_chart)
# plot the data on the chart
lb_points = psy_chart.data_points
points.append([from_point2d(pt) for pt in lb_points])
if len(lb_points) != 1: # hide the points and just display the mesh
hide_output(ghenv.Component, 8)
mesh.append(from_mesh2d(psy_chart.colored_mesh, z))
legend.append(legend_objects(psy_chart.legend))
else: # show the single point on the chart
show_output(ghenv.Component, 8)
# process any of the connected data into a legend and colors
if len(data_) != 0:
data_colls.append(all_data[:-2])
move_dist = x_dim * (psy_chart.max_temperature -
psy_chart.min_temperature + 20)
for i, d in enumerate(all_data[:-2]):
# create a new psychrometric chart offset from the original
new_pt = Point2D(base_pt.x + move_dist * (i + 1), base_pt.y)
psy_chart = PsychrometricChart(all_data[-2],
all_data[-1],
pressure,
leg_par_by_index(0),
try: # sense when several legend parameters are connected
lpar = legend_par_[i]
except IndexError:
lpar = None if len(legend_par_) == 0 else legend_par_[-1]
# create the hourly plot object and get the main pieces of geometry
hour_plot = HourlyPlot(data_coll, lpar, _base_pt_, _x_dim_, _y_dim_,
_z_dim_, reverse_y_)
msh = from_mesh2d(hour_plot.colored_mesh2d, _base_pt_.z) if _z_dim_ == 0 else \
from_mesh3d(hour_plot.colored_mesh3d)
mesh.append(msh)
border = [from_polyline2d(hour_plot.chart_border2d, _base_pt_.z)] + \
[from_linesegment2d(line, _base_pt_.z) for line in hour_plot.hour_lines2d] + \
[from_linesegment2d(line, _base_pt_.z) for line in hour_plot.month_lines2d]
all_borders.append(border)
legnd = legend_objects(hour_plot.legend)
all_legends.append(legnd)
tit_txt = text_objects(hour_plot.title_text,
hour_plot.lower_title_location,
hour_plot.legend_parameters.text_height,
hour_plot.legend_parameters.font)
title.append(tit_txt)
# create the text label objects
label1 = [
text_objects(txt, Plane(o=Point3D(pt.x, pt.y, _base_pt_.z)),
hour_plot.legend_parameters.text_height,
hour_plot.legend_parameters.font, 2, 3) for txt, pt in
zip(hour_plot.hour_labels, hour_plot.hour_label_points2d)
]
label2 = [
except ImportError as e:
raise ImportError('\nFailed to import ladybug:\n\t{}'.format(e))
try:
from ladybug_rhino.togeometry import to_plane
from ladybug_rhino.fromobjects import legend_objects
from ladybug_rhino.color import color_to_color
from ladybug_rhino.grasshopper import all_required_inputs
except ImportError as e:
raise ImportError('\nFailed to import ladybug_rhino:\n\t{}'.format(e))
if all_required_inputs(ghenv.Component):
# set default values
legend_par_ = legend_par_.duplicate() if legend_par_ is not None else \
LegendParameters()
if _base_plane_:
legend_par_.base_plane = to_plane(_base_plane_)
legend_par_.title = title_
# create the legend
legend = Legend(_values, legend_par_)
# separate all of the outputs from this component
rhino_objs = legend_objects(legend)
mesh = rhino_objs[0]
title_obj = rhino_objs[1]
label_objs = rhino_objs[2:]
label_text = legend.segment_text
colors = [color_to_color(col) for col in legend.value_colors]
