from ladybug_rhino.togeometry import to_point3d
from ladybug_rhino.fromgeometry import from_mesh3d, from_mesh2d, \
from_polyline2d, from_linesegment2d
from ladybug_rhino.text import text_objects
from ladybug_rhino.fromobjects import legend_objects
from ladybug_rhino.grasshopper import all_required_inputs, list_to_data_tree
except ImportError as e:
raise ImportError('\nFailed to import ladybug_rhino:\n\t{}'.format(e))
if all_required_inputs(ghenv.Component):
# apply any analysis periods and conditional statements to the input collections
if period_ is not None:
_data = [coll.filter_by_analysis_period(period_) for coll in _data]
if statement_ is not None:
_data = HourlyContinuousCollection.filter_collections_by_statement(
_data, statement_)
# set default values for the chart dimensions
_base_pt_ = to_point3d(_base_pt_) if _base_pt_ is not None else Point3D()
_x_dim_ = _x_dim_ if _x_dim_ is not None else 1.0 / conversion_to_meters()
_y_dim_ = _y_dim_ if _y_dim_ is not None else 4.0 / conversion_to_meters()
_z_dim_ = _z_dim_ if _z_dim_ is not None else 0
reverse_y_ = reverse_y_ if reverse_y_ is not None else False
# empty lists of objects to be filled with visuals
mesh, title, all_legends, all_borders, all_labels = [], [], [], [], []
for i, data_coll in enumerate(_data):
try: # sense when several legend parameters are connected
lpar = legend_par_[i]
except IndexError:
'{} ({})'.format(data_col.header.data_type, data_col.header.unit)
]
for key, val in data_col.header.metadata.items():
title_array.append('{}: {}'.format(key, val))
title_array.append('period: {}'.format(data_col.header.analysis_period))
return '\n'.join(title_array)
if all_required_inputs(ghenv.Component):
# Apply any analysis periods and conditional statement to the input collections
if period_ is not None:
_data = [dat.filter_by_analysis_period(period_) for dat in _data]
_wind_direction = _wind_direction.filter_by_analysis_period(period_)
if statement_ is not None and statement_.strip() != "":
_fdata = HourlyContinuousCollection.filter_collections_by_statement(
_data + [_wind_direction], statement_)
_data = _fdata[:-1]
_wind_direction = _fdata[-1]
# filter zero speed values out of collections if speed is input
pattern = []
filt_wind_dir = _wind_direction
for dat in _data:
if isinstance(dat.header.data_type, Speed):
for val in dat.values:
pat = True if val > 1e-10 else False
pattern.append(pat)
break
if len(pattern) != 0:
for i, dat in enumerate(_data):
if not isinstance(dat.header.data_type, Speed):