Scatter

Zusammenfassung

Scatter plots visualize the relationship between two numeric variables, where one variable is displayed on the x-axis, and the other variable is displayed on the y-axis. For each record, a point is plotted where the two variables intersect in the chart. When the resulting points form a nonrandom structure, a relationship exists between the two variables.

Learn more about scatter plots in ArcGIS Pro

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

Scatter (x, y, {splitCategory}, {sizeField}, {sizeMin}, {sizeMax}, {multiSeriesDisplay}, {miniChartsPerRow}, {showPreviewChart}, {showTrendLine}, {title}, {description}, {xTitle}, {yTitle}, {dataSource}, {displaySize})
ParameterErläuterungDatentyp
x

The field name for the x-axis variable. The field must be a numeric field.

String
y

The field name for the y-axis variable. The field must be a numeric field.

String
splitCategory

A categorical field that adds a separate series for each unique value in the field.

String
sizeField

The field used to determine the size of the proportional symbol when creating a bubble plot.

String
sizeMin

The minimum size for points in a bubble plot.

Integer
sizeMax

The maximum size for points in a bubble plot.

Integer
multiSeriesDisplay

The display type for a scatter plot with multiple series. Valid options are singleChart and grid.

String
miniChartsPerRow

Sets the number of mini-charts that will be shown per row. The number of rows will be determined by the total number of series divided by the miniChartsPerRow value.

Integer
showPreviewChart

Indicates whether the preview chart is visible for grid charts. True displays the preview chart. False hides the preview chart.

(Der Standardwert ist False)

Boolean
showTrendLine

Indicates whether the trend line is visible in the scatter plot. True displays the line. False hides the line.

Boolean
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
xTitle

Sets the title for the x-axis of the chart.

String
yTitle

Sets the title for the y-axis of the chart.

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

EigenschaftErläuterungDatentyp
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
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
legend
(Lesen und schreiben)

Sets the properties of the chart legend.

  • visible—Indicates whether the legend is visible in the chart view. True displays the legend. False hides the legend.
  • title—The title to display for the legend.
Object
miniChartsPerRow
(Lesen und schreiben)

Sets the number of mini-charts that will be shown per row. The number of rows will be determined by the total number of series divided by the miniChartsPerRow value.

Integer
multiSeriesDisplay
(Lesen und schreiben)

The display type for a scatter plot with multiple series. Valid options are singleChart and grid.

String
showPreviewChart
(Lesen und schreiben)

Indicates whether the preview chart is visible for grid charts. True displays the preview chart. False hides the preview chart.

Boolean
showTrendLine
(Lesen und schreiben)

Indicates whether the trend line is visible in the scatter plot. True displays the line. False hides the line.

Boolean
sizeField
(Lesen und schreiben)

The field used to determine the size of the proportional symbol when creating a bubble plot.

String
sizeMax
(Lesen und schreiben)

The maximum size for points in a bubble plot.

Integer
sizeMin
(Lesen und schreiben)

The minimum size for points in a bubble plot.

Integer
splitCategory
(Lesen und schreiben)

A categorical field that adds a separate series for each unique value in the field.

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 Nach Darstellungsreihenfolge auflisten.

String
type
(Schreibgeschützt)

The string value indicating the chart type.

String
x
(Lesen und schreiben)

The field name for the x-axis variable. The field must be a numeric field.

String
xAxis
(Lesen und schreiben)

Sets the properties of the x-axis.

  • field—The field name for the x-axis variable. The field must be a numeric field.
  • logarithmic—Indicates whether the axis is logarithmic. True displays the logarithmic axis. False displays the linear axis.
  • maximum—The maximum axis bound.
  • minimum—The minimum axis bound.
  • sort—This property is not supported for the Scatter class.
  • title—The label of the axis that displays on the chart.
Object
y
(Lesen und schreiben)

The field name for the y-axis variable. The field must be a numeric field.

String
yAxis
(Lesen und schreiben)

Sets the properties of the y-axis.

  • field—The field name for the y-axis variable. The field must be a numeric field. When creating a bubble plot, field optionally accepts a two-item list, where the first item is the y-axis field and the second item is the proportional symbol field.
  • logarithmic—Indicates whether the axis is logarithmic. True displays the logarithmic axis. False displays the linear axis.
  • maximum—The maximum axis bound.
  • minimum—The minimum axis bound.
  • sort—This property is not supported for the Scatter class.
  • title—The label of the axis that displays on the chart.
Object

Methodenübersicht

MethodeErläuterung
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

addToLayer (layer_or_layerfile)
ParameterErläuterungDatentyp
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
chart.addToLayer(censusLayer)
exportToSVG (path, width, height)
ParameterErläuterungDatentyp
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.

chart.addToLayer(myLayer)

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

Codebeispiel

Create a scatter plot and add it to a layer from the current project.

import arcpy

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

chart = arcpy.charts.Scatter(x="Per_Vacant", y="Pop_Density", xTitle="Vacant Housing %", 
                             yTitle="Population Density (per Sq. Mile)")

chart.addToLayer(censusLayer)