Label | Explanation | Data Type |
Input Multipatch Features
| The multipatch features that will be used to construct closed multipatches. | Feature Layer |
Output Multipatch Feature Class
| The output closed multipatch features. | Feature Class |
Grid Size
(Optional) | The resolution that will be used to construct the closed multipatch features. This value is defined using the linear units of the input feature's spatial reference. | Double |
Summary
Creates closed multipatch features from open multipatch features.
Usage
This tool is designed for multipatch features that have an opening along the lower portions of the geometry. The enclosed output will drape along the input feature and obscure any overhangs that may be present in the input feature.
All multipatch features will be evaluated to determine which ones are closed. Features that are already closed will be copied to the output multipatch without any modification. The Is Closed 3D tool can be used to quickly determine whether any unclosed multipatch features exist in the input feature class.
Parameters
arcpy.ddd.EncloseMultiPatch(in_features, out_feature_class, {grid_size})
Name | Explanation | Data Type |
in_features | The multipatch features that will be used to construct closed multipatches. | Feature Layer |
out_feature_class | The output closed multipatch features. | Feature Class |
grid_size (Optional) | The resolution that will be used to construct the closed multipatch features. This value is defined using the linear units of the input feature's spatial reference. | Double |
Code sample
The following sample demonstrates the use of this tool in the Python window.
arcpy.env.workspace = 'C:/data'
arcpy.EncloseMultiPatch_3d('unclosed_features.shp',
'enclosed_features.shp', 0.5)
The following sample demonstrates the use of this tool in a stand-alone Python script.
'''*********************************************************************
Name: Model Shadows For GeoVRML Models
Description: Creates a model of the shadows cast by GeoVRML models
imported to a multipatch feature class for a range of dates
and times. A range of times from the start time and end
time can also be specified by setting the EnforceTimes
Boolean to True. This sample is designed to be used in a
script tool.
*********************************************************************'''
# Import system modules
import arcpy
from datetime import datetime, time, timedelta
#************************* Script Variables **************************
inFiles = arcpy.GetParameterAsText(0) # list of input features
spatialRef = arcpy.GetParameterAsText(1) # list of GeoVRML files
outFC = arcpy.GetParameterAsText(2) # multipatch from 3D files
inTimeZone = arcpy.GetParameterAsText(3) # time zone
startDate = arcpy.GetParameter(4) # starting date as datetime
endDate = arcpy.GetParameter(5) # ending date as datetime
dayInterval = arcpy.GetParameter(6) # day interval as long (0-365)
minInterval = arcpy.GetParameter(7) # minute interval as long (0-60)
enforceTime = arcpy.GetParameter(8) # minute interval as Boolean
outShadows = arcpy.GetParameterAsText(9) # output shadow models
outIntersection = arcpy.GetParameterAsText(10) # shadow & bldg intersection
# Function to find all possible date/time intervals for shadow modelling
def time_list():
dt_result = [startDate]
if dayInterval:
if endDate: #Defines behavior when end date is supplied
while startDate < endDate:
startDate += timedelta(days=dayInterval)
dt_result.append(startDate)
dt_result.append(endDate)
else: # Behavior when end date is not given
daymonthyear = datetime.date(startDate)
while startDate <= datetime(daymonthyear.year, 12, 31, 23, 59):
startDate += timedelta(days=dayInterval)
dt_result.append(startDate)
return dt_result
importFC = arcpy.CreateUniqueName('geovrml_import', 'in_memory')
# Import GeoVRML files to in-memory feature
arcpy.ddd.Import3DFiles(inFiles, importFC, 'ONE_FILE_ONE_FEATURE',
spatialRef, 'Z_IS_UP', 'wrl')
# Ensure that building models are closed
arcpy.ddd.EncloseMultiPatch(importFC, outFC, 0.05)
# Discard in-memory feature
arcpy.management.Delete(importFC)
dt_result = time_list()
for dt in dt_result:
if dt == dt_result[0]:
shadows = outShadows
else:
shadows = arcpy.CreateUniqueName('shadow', 'in_memory')
arcpy.ddd.SunShadowVolume(outFC, dt, shadows, 'ADJUST_FOR_DST',
inTimeZone, '', minInterval, 'MINUTES')
if dt is not dt_result[0]:
arcpy.management.Append(shadows, outShadows)
arcpy.management.Delete(shadows)
arcpy.ddd.Intersect3D(outFC, outIntersection, outShadows, 'SOLID')
Environments
Licensing information
- Basic: Requires 3D Analyst
- Standard: Requires 3D Analyst
- Advanced: Requires 3D Analyst