arcpy.management.ApplySymbologyFromLayer(in_layer, in_symbology_layer, {symbology_fields}, {update_symbology})
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名称
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说明
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数据类型
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in_layer
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将应用符号系统的图层。
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Feature Layer; Raster Layer; Layer
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in_symbology_layer
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包含将应用于输入图层的符号系统的图层。 支持 .lyrx 和 .lyr 文件。
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Layer
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symbology_fields
[[field_type, source_field, target_field],...]
（可选）
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与符号系统图层中使用的符号系统字段相匹配的输入图层中的字段。
值表列：
Type—Specifies whether the field is the symbology value field, normalization field, or other type.
VALUE_FIELD—The field will be used as the primary field to symbolize values.
NORMALIZATION_FIELD—The field will be used to normalize quantitative values.
EXCLUSION_CLAUSE_FIELD—The field will be used for the symbology exclusion clause.
CHART_RENDERER_PIE_SIZE_FIELD—The field will be used to set the size of pie chart symbols.
ROTATION_XEXPRESSION_FIELD—The field will be used to set the rotation of symbols on the x-axis.
ROTATION_YEXPRESSION_FIELD—The field will be used to set the rotation of symbols on the y-axis.
ROTATION_ZEXPRESSION_FIELD—The field will be used to set the rotation of symbols on the z-axis.
TRANSPARENCY_EXPRESSION_FIELD—The field will be used to set the transparency of symbols
TRANSPARENCY_NORMALIZATION_FIELD—The field will be used to normalize transparency values.
SIZE_EXPRESSION_FIELD—The field will be used to set the size or width of symbols.
COLOR_EXPRESSION_FIELD—The field will be used to set the color of symbols.
PRIMITIVE_OVERRIDE_EXPRESSION_FIELD—The field will be used to set various properties on individual symbol layers.
Source Field—The symbology field used in the symbology layer. Use "#" if you do not know the source field and want the system default to be used.
Target Field—The field from the input layer to use when applying the symbology.
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Value Table
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update_symbology
（可选）
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指定是否将更新符号系统范围。
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String
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派生输出
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名称
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说明
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数据类型
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out_layer
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已更新的输入图层。
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Layer
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代码示例
ApplySymbologyFromLayer 示例 1（Python 窗口）
以下 Python 窗口脚本演示了如何在即时模式下使用 ApplySymbologyFromLayer 函数。
import arcpy
arcpy.env.workspace = "C:/data.gdb"
arcpy.management.ApplySymbologyFromLayer("sf_points", "sf_points_water.lyrx")
ApplySymbologyFromLayer 示例 2（独立脚本）
如下介绍了如何在独立脚本中使用 ApplySymbologyFromLayer 函数。
# Import system modules
import arcpy
# Set the current workspace
arcpy.env.workspace = "C:/data.gdb"
# Set layer to apply symbology to
inputLayer = "sf_points"
# Set layer that output symbology will be based on
symbologyLayer = "water_symbols_pnt.lyrx"
# Apply the symbology from the symbology layer to the input layer
arcpy.management.ApplySymbologyFromLayer(inputLayer, symbologyLayer)
ApplySymbologyFromLayer 示例 3（独立脚本）
如下介绍了如何在独立脚本中使用 ApplySymbologyFromLayer 函数。
# Import system modules
import arcpy
# Set the current workspace
arcpy.env.workspace = "C:/data.gdb"
# Set layer to apply symbology to
inputLayer = "InlandEmpireBlocks"
# Set layer that output symbology will be based on
symbologyLayer = "USCensusBlocks.lyrx"
# The symbology layer is symbolized by population normalized by area.
# Symbolize the input by Pop2014 field normalized to Square Miles
symbologyFields = [["VALUE_FIELD", "#", "Pop2014"],
["NORMALIZATION_FIELD", "#", "SQ_MILES"]]
# Apply the symbology from the symbology layer to the input layer
arcpy.management.ApplySymbologyFromLayer(inputLayer, symbologyLayer,
symbologyFields)
ApplySymbologyFromLayer 示例 3（脚本工具）
在脚本工具中，将符号系统应用于多个派生输出要素图层。 该示例工具具有以下参数：
输入图层
数据类型：要素图层（多值）
类型：必填
方向：输入
符号系统
派生输出
数据类型：要素图层（多值）
类型：派生
方向：输出
# Import system modules
import os
import arcpy
# Get Parameters
layers = arcpy.GetParameter(0) # Accepts Feature Layers (multivalue)
sym = arcpy.GetParameter(1) # Accepts a Feature Layer
# Apply symbology to each input layer, store the result objects in a list
results = []
for layer in layers:
# Derive the name of the output featureclass
layername = arcpy.Describe(layer).baseName
outfeature = os.path.join(arcpy.env.scratchGDB, layername + "_out")
# Copy feature to get output. This step can be replaced by other
# steps that produce or manipulate a feature class.
arcpy.management.CopyFeatures(layer, outfeature)
# Apply symbology to the final output
res = arcpy.management.ApplySymbologyFromLayer(outfeature, sym)
# Append multivalue feature
results.append(res)
# Set the symbology of the derived output parameter using the
# list of result objects
arcpy.SetParameter(2, results)
