Symbolize by Numeric Field (Business Analyst)
汇总
Thematically maps a feature class based on a numeric field
用法
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Displaying points as different colors based on the values of a numeric attribute is an example of a graduated colormap. This kind of map is most useful for showing data that is ranked (such as 1 to 10 or low to high) or has some kind of numerical progression (such as measurements, counts, rates, or percentages) since colors don't necessarily imply a magnitude.
语法
SymbolizeByNumericField_ba (InputFeatureLayer, Field, ClassificationSchemeParameterName, {NameField}, {UseSelectedFeatures}, {ColorSchemeParameterName})
参数 | 说明 | 数据类型 |
InputFeatureLayer |
The input feature layer. | Feature Layer |
Field |
The attribute field used to define the thematic map. | Field |
ClassificationSchemeParameterName |
The classification methods to thematically map your input feature class.
| String |
NameField (可选) |
The attribute field used in the normalization calculations. | Field |
UseSelectedFeatures (可选) |
Identifies the features that will be used to generate the thematic map.
| Boolean |
ColorSchemeParameterName (可选) |
The color scheme for the thematic map. | String |
代码示例
SymbolizeByNumericField Example (Stand-alone Script)
# Name: SymbolizeByNumericField.py # Description: Symbolizes block groups by total population. # Author: ESRI # Import system modules import arcpy arcpy.ImportToolbox("C:\Program Files\ArcGIS\Desktop10.0\ArcToolbox\Toolboxes\Business Analyst Tools.tbx") try: # Acquire extension license arcpy.CheckOutExtension("Business") # Defines the parameters for the Symbolize by Numeric Field tool Input = "C:/Program Files/ArcGIS/Desktop10.0/Business Analyst/Data/BDS/esri_bg.bds" Fld= "TOTPOP_CY" # Thematically symbolizes a layer by a numeric field arcpy.SymbolizeByNumericField_ba(Input, Fld, "Equal Interval") # Release extension license arcpy.CheckInExtension("Business") except: print arcpy.GetMessages(2)
环境
此工具不使用任何地理处理环境
相关主题
许可信息
ArcView: 需要 Business Analyst
ArcEditor: 需要 Business Analyst
ArcInfo: 需要 Business Analyst
10/4/2010