Color Coded Layer (Business Analyst)

Disponible con licencia de Business Analyst.

Resumen

Creates a multigeography-level, scale-dependent choropleth layer from a variable describing a business, demographic, consumer, or landscape characteristic.

Ilustración

Uso

• Map appearance will vary based on the classification method employed. Detailed explanations of each are contained in the parameter syntax documentation.

• The default number of classification fields is 5. This can be changed within the Number of Classes parameter. Typically, the number of breaks ranges from 3 to 7.

• The geography level displayed will automatically adjust to the optimal geography level as map scale changes.

• You can specify three classes for a field whose values range from 0 to 300; the application will create three classes with ranges of 0–100, 101–200, and 201–300.

• The Geometric Interval method uses an algorithm that creates class breaks by minimizing the sum of squares of the number of elements in each class. This ensures that each class range has approximately the same number of values with each class and that the change between intervals is consistent.

• Natural breaks are divided into classes whose boundaries are set where there are relatively big differences in the data values.

• Quantile assigns the same number of data values to each class. There are no empty classes or classes with too few or too many values.

• Los Business Analyst Data, utilizados en resúmenes e informes, se especifican mediante el ajuste de entorno Fuente de datos de geoprocesamiento.

Sintaxis

arcpy.ba.ColorCodedLayer(classification_variable, out_layer_name, classification_method, number_of_classes)

Parámetro	Explicación	Tipo de datos
classification_variable	Select one variable to display as a color-coded map.	String
out_layer_name	The name of the color-coded layer that will be added to the map.	String
classification_method	The method that will be used to calculate the class breaks. NATURAL_BREAKS —Natural breaks classes are based on natural groupings inherent in the data. Class breaks are identified that best group similar values and that maximize the differences between classes. This is the default. QUANTILE —Each class contains an equal number of features. A quantile classification is well suited to linearly distributed data. EQUAL_INTERVAL —Divides the range of attribute values into equal-sized subranges. This allows you to specify the number of intervals, and ArcGIS Pro will automatically determine the class breaks based on the value range. GEOMETRIC_INTERVAL —Creates class breaks based on class intervals that have a geometric series. The geometric coefficient in this classifier can change once (to its inverse) to optimize the class ranges.	String
number_of_classes	The number of data classification breaks that appear on the map. The default value is 5.	String

Salida derivada

Nombre	Explicación	Tipo de datos
out_layer	A container for the output layer.	Group Layer

Muestra de código

ColorCodedLayer example (Python window)

The following Python window script demonstrates how to use the ColorCodedLayer tool.

import arcpy
arcpy.env.baDataSource = "ONLINE;US;"
arcpy.ba.ColorCodedLayer("networth.mednw_cy", "CCL_NetWorth", "NATURAL_BREAKS", 5)

ColorCodedLayer with Statistical Data Collection variable example (Python window)

The following Python window script demonstrates how to use the ColorCodedLayer tool with Statistical Data Collection variables.

import arcpy
arcpy.env.baDataSource = "USA_ESRI_2018"
arcpy.ba.ColorCodedLayer(r"c:\users\<User ID>\documents\arcgis\projects\my_project\bayarea_proprietarydata.sdcx/sales_s01_sales", "sales_s01_sales Layer", "NATURAL_BREAKS", 5)

Entornos

Espacio de trabajo actual, Fuente de datos

Información de licenciamiento

• Basic: Requiere Business Analyst
• Standard: Requiere Business Analyst
• Advanced: Requiere Business Analyst