fix(results): Return sDA as a percentage

Author: mikkelkp

honeybee_grasshopper_radiance/icon/HB Spatial Daylight Autonomy.png

@@ -1,5 +1,5 @@
 {
-  "version": "1.9.0", 
+  "version": "1.9.1", 
   "nickname": "sDA", 
   "outputs": [
     [
@@ -43,7 +43,7 @@
     }
   ], 
   "subcategory": "4 :: Results", 
-  "code": "\ntry:\n    from ladybug_{{cad}}.togeometry import to_mesh3d\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_{{cad}}:\\n\\t{}'.format(e))\n\ntry:\n    from ladybug_{{cad}}.{{plugin}} import all_required_inputs, list_to_data_tree, \\\n        data_tree_to_list\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_{{cad}}:\\n\\t{}'.format(e))\n\n\nif all_required_inputs(ghenv.Component):\n    # process the input values into a rokable format\n    da_mtx = [item[-1] for item in data_tree_to_list(_DA)]\n    _target_time_ = 50 if _target_time_ is None else _target_time_\n    lb_meshes = [to_mesh3d(mesh) for mesh in mesh_]\n\n    # determine whether each point passes or fails\n    pass_fail = [[int(val > _target_time_) for val in grid] for grid in da_mtx]\n\n    # compute spatial daylight autonomy from the pass/fail results\n    if len(lb_meshes) == 0:  # all sensors represent the same area\n        sDA = [sum(pf_list) / len(pf_list) for pf_list in pass_fail]\n    else:  # weight the sensors based on the area of mesh faces\n        sDA = []\n        for i, mesh in enumerate(lb_meshes):\n            m_area = mesh.area\n            weights = [fa / m_area for fa in mesh.face_areas]\n            sDA.append(sum(v * w for v, w in zip(pass_fail[i], weights)))\n\n    pass_fail = list_to_data_tree(pass_fail)  # convert matrix to data tree\n", 
+  "code": "\ntry:\n    from ladybug_{{cad}}.togeometry import to_mesh3d\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_{{cad}}:\\n\\t{}'.format(e))\n\ntry:\n    from ladybug_{{cad}}.{{plugin}} import all_required_inputs, list_to_data_tree, \\\n        data_tree_to_list\nexcept ImportError as e:\n    raise ImportError('\\nFailed to import ladybug_{{cad}}:\\n\\t{}'.format(e))\n\n\nif all_required_inputs(ghenv.Component):\n    # process the input values into a rokable format\n    da_mtx = [item[-1] for item in data_tree_to_list(_DA)]\n    _target_time_ = 50 if _target_time_ is None else _target_time_\n    lb_meshes = [to_mesh3d(mesh) for mesh in mesh_]\n\n    # determine whether each point passes or fails\n    pass_fail = [[int(val > _target_time_) for val in grid] for grid in da_mtx]\n\n    # compute spatial daylight autonomy from the pass/fail results\n    if len(lb_meshes) == 0:  # all sensors represent the same area\n        sDA = [round(sum(pf_list) / len(pf_list) * 100, 2) for pf_list in pass_fail]\n    else:  # weight the sensors based on the area of mesh faces\n        sDA = []\n        for i, mesh in enumerate(lb_meshes):\n            m_area = mesh.area\n            weights = [fa / m_area for fa in mesh.face_areas]\n            sDA.append(round(sum(v * w for v, w in zip(pass_fail[i], weights)) * 100, 2))\n\n    pass_fail = list_to_data_tree(pass_fail)  # convert matrix to data tree\n", 
   "category": "HB-Radiance", 
   "name": "HB Spatial Daylight Autonomy", 
   "description": "Calculate Spatial Daylight Autonomy (sDA) from lists of daylight autonomy values.\n_\nAs per IES-LM-83-12 Spatial Daylight Autonomy (sDA) is a metric describing\nannual sufficiency of ambient daylight levels in interior environments.\nIt is defined as the percent of an analysis area (the area where calcuations\nare performed -typically across an entire space) that meets a minimum\ndaylight illuminance level for a specified fraction of the operating hours\nper year. The sDA value is expressed as a percentage of area.\n_\nNote: This component will only output a LEED compliant sDA if you've run the\nsimulation with dynamic blinds and blind schedules as per the IES-LM-83-12\nstandard. If you are not using dynamic blinds, then this output is NOT LEED\ncompliant.\n-"

honeybee_grasshopper_radiance/json/HB_Spatial_Daylight_Autonomy.json

@@ -47,7 +47,7 @@
 
 ghenv.Component.Name = 'HB Spatial Daylight Autonomy'
 ghenv.Component.NickName = 'sDA'
-ghenv.Component.Message = '1.9.0'
+ghenv.Component.Message = '1.9.1'
 ghenv.Component.Category = 'HB-Radiance'
 ghenv.Component.SubCategory = '4 :: Results'
 ghenv.Component.AdditionalHelpFromDocStrings = '1'
@@ -75,12 +75,12 @@
 
     # compute spatial daylight autonomy from the pass/fail results
     if len(lb_meshes) == 0:  # all sensors represent the same area
-        sDA = [sum(pf_list) / len(pf_list) for pf_list in pass_fail]
+        sDA = [round(sum(pf_list) / len(pf_list) * 100, 2) for pf_list in pass_fail]
     else:  # weight the sensors based on the area of mesh faces
         sDA = []
         for i, mesh in enumerate(lb_meshes):
             m_area = mesh.area
             weights = [fa / m_area for fa in mesh.face_areas]
-            sDA.append(sum(v * w for v, w in zip(pass_fail[i], weights)))
+            sDA.append(round(sum(v * w for v, w in zip(pass_fail[i], weights)) * 100, 2))
 
     pass_fail = list_to_data_tree(pass_fail)  # convert matrix to data tree