# ScatterMatrix

## Zusammenfassung

A scatter plot matrix is a grid (or matrix) of scatter plots used to visualize bivariate relationships between combinations of variables. Each scatter plot in the matrix visualizes the relationship between a pair of variables, allowing many relationships to be explored in one chart.

## Diskussion

When creating a chart object, optional arguments for the class constructor must be specified using the argument name; they cannot be specified by argument position. See the code sample section for an example of how to specify arguments using keywords.

## Syntax

ScatterMatrix (fields, {showTrendLine}, {lowerLeft}, {upperRight}, {diagonal}, {sort}, {sortBy}, {title}, {description}, {dataSource}, {displaySize})
 Parameter Erläuterung Datentyp fields[fields,...] A list of field names to display in the matrix. A minimum of three fields is required. List showTrendLine Indicates whether trend lines are visible in the scatter plots. True displays the lines. False hides the lines. Boolean lowerLeft Sets the display of the lower left half of the matrix. Supported options are R_SQUARED, PEARSONS_R, and SCATTERPLOTS. String upperRight Sets the display of the upper right half of the matrix. Supported options are R_SQUARED, PEARSONS_R, SCATTERPLOTS, PREVIEW_PLOT, and NONE. String diagonal Sets the display of the diagonal view. Supported options are FIELD_NAMES, HISTOGRAMS, and NONE. String sort The sorting method that is applied to the matrix. Supported options are ASC, DESC, and NONE. Use ASC or DESC to specify a sorting direction when sortBy is set to R_SQUARED or PEARSONS_R. When NONE is chosen, the matrix will be sorted by the order of the fields list. String sortBy The method that is used to sort the matrix when you want to sort the rows according to the metric scores for a target field. Supported options are R_SQUARED and PEARSONS_R. When R_SQUARED or PEARSONS_R are chosen, the matrix will be sorted by metrics for the field specified by the first item in the fields list. When this property is not explicitly set, the matrix will be sorted by the order of the fields list. String title Sets the title of the chart. The title text appears at the top of the chart view and is used as the label for the chart in the Contents pane. String description Sets the description of the chart. The description text appears at the bottom of the chart view. String dataSource Sets the data source of the chart. When a chart is exported using the exportToSVG method or displayed in an ArcGIS Notebook, the data source is read and rendered on the chart. Valid data sources include paths to datasets, including local datasets, UNC paths, and service URLs, and arcpy.mp Layer objects. Object displaySize[displaySize,...] Sets the size of the chart when exported using the exportToSVG method or displayed in an ArcGIS Notebook. The value must be specified as a two-item list, where the first item is the width of the chart and the second item is the height of the chart. List

## Eigenschaften

 Eigenschaft Erläuterung Datentyp dataSource(Lesen und schreiben) Sets the data source of the chart. When a chart is exported using the exportToSVG method or displayed in an ArcGIS Notebook, the data source is read and rendered on the chart. Valid data sources include paths to datasets, including local datasets, UNC paths, and service URLs, and arcpy.mp Layer objects. Object description(Lesen und schreiben) Sets the description of the chart. The description text appears at the bottom of the chart view. String diagonal(Lesen und schreiben) Sets the display of the diagonal view. Supported options are FIELD_NAMES, HISTOGRAMS, and NONE. String displaySize(Lesen und schreiben) Sets the size of the chart when exported using the exportToSVG method or displayed in an ArcGIS Notebook. The value must be specified as a two-item list, where the first item is the width of the chart and the second item is the height of the chart. List fields(Lesen und schreiben) A list of field names to display in the matrix. A minimum of three fields is required. List lowerLeft(Lesen und schreiben) Sets the display of the lower left half of the matrix. Supported options are R_SQUARED, PEARSONS_R, and SCATTERPLOTS. String showTrendLine(Lesen und schreiben) Indicates whether trend lines are visible in the scatter plots. True displays the lines. False hides the lines. Boolean sort(Lesen und schreiben) The sorting method that is applied to the matrix. Supported options are ASC, DESC, and NONE. Use ASC or DESC to specify a sorting direction when sortBy is set to R_SQUARED or PEARSONS_R. When NONE is chosen, the matrix will be sorted by the order of the fields list. String sortBy(Lesen und schreiben) The method that is used to sort the matrix when you want to sort the rows according to the metric scores for a target field. Supported options are R_SQUARED and PEARSONS_R . When R_SQUARED or PEARSONS_R are chosen, the matrix will be sorted by metrics for the field specified by the first item in the fields list. When this property is not explicitly set, the matrix will be sorted by the order of the fields list. String title(Lesen und schreiben) Sets the title of the chart. The title text appears at the top of the chart view and is used as the label in the Contents pane on the List By Drawing Order tab . String type(Schreibgeschützt) The string value indicating the chart type. String upperRight(Lesen und schreiben) Sets the display of the upper right half of the matrix. Supported options are R_SQUARED, PEARSONS_R, SCATTERPLOTS, PREVIEW_PLOT, and NONE. String

## Methodenübersicht

 Methode Erläuterung addToLayer (layer_or_layerfile) Adds the chart object to a layer or stand-alone table. exportToSVG (path, width, height) Exports the chart to SVG format. updateChart () Updates chart properties to sync changes between the object and the chart previously added to a layer.

## Methoden

 Parameter Erläuterung Datentyp layer_or_layerfile The chart will be added to the target object. The layer_or_layerfile argument can be a Layer or a Table object. Object

Often the final step after defining chart properties is to add the chart object to a layer or table using the addToLayer method.

Add a chart to an existing layer.

import arcpy

aprx = arcpy.mp.ArcGISProject("current")
map = aprx.listMaps()[0]
censusLayer = map.listLayers('Census Block Groups')[0]

# Add chart object to a layer
exportToSVG (path, width, height)
 Parameter Erläuterung Datentyp path The path where the chart will be exported in SVG format. String width The width of the output graphic. Integer height The height of the output graphic. Integer

In some cases, you may want to save the chart as a graphic that can be shared and viewed outside of ArcGIS Pro. Exporting to the SVG graphic format is beneficial, as the chart elements and text are stored as vector elements that can be independently modified in a vector graphics software. An SVG graphic can also be resized to any scale without pixelation or loss in quality.

Export a chart that has a project layer data source to an .svg file.

import arcpy

aprx = arcpy.mp.ArcGISProject('current')
censusLayer = aprx.listMaps()[0].listLayers('Census Block Groups')[0]

# Set data source of chart object to a layer within current project
chart.dataSource = censusLayer

# Save the chart to file with dimensions width=500, height=500
chart.exportToSVG('populationByState.svg', 500, 500)

Export a chart that has a feature service data source to an .svg file.

featureServiceURL = r'https://services1.arcgis.com/hLJbHVT9ZrDIzK0I/arcgis/rest/services/CrimesChiTheft/FeatureServer/0'

# Set data source of chart object to a feature service URL
chart.dataSource = featureServiceURL

# Save the chart to file with dimensions width=800, height=600
chart.exportToSVG('theftsPerBeat.svg', 800, 600)
updateChart ()

Often the final step after defining chart properties is to add the chart object to a layer using the addToLayer method.

To further modify the chart properties, you can modify the properties of the original chart instead of starting from scratch with a new chart. You can then use the updateChart method to synchronize any changes into the chart that was added to the layer. This will allow the changes you make to be presented in the Chart properties pane and chart view.

Use the updateChart method to synchronize chart property changes into a layer.

# Further modification is necessary
chart.description = "Data from the U.S. Census Bureau"
chart.updateChart()

## Codebeispiel

Create a scatter plot matrix using a layer name and export it to an .svg file.

import arcpy
chart = arcpy.charts.ScatterMatrix(fields=["copd", "diabetes", "heart_failure", "hypertension", "high_cholesterol"],
lowerLeft="R_SQUARED", upperRight="PREVIEW_PLOT",
dataSource="health_indicators", displaySize=(800, 500))
chart.exportToSVG("scatter_matrix.svg")