Box

Zusammenfassung

Box plots allow you to visualize and compare the distribution and central tendency of numeric values through their quartiles.

Learn more about box 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 Samples section for an example of how to specify arguments using keywords.

Syntax

Box (y, {x}, {splitCategory}, {splitCategoryAsMeanLine}, {standardizeValues}, {showOutliers}, {rotated}, {title}, {description}, {xTitle}, {yTitle}, {dataSource}, {displaySize})
ParameterErläuterungDatentyp
y

The fields to display as boxes. Provide a single field name or a list of field names.

String
x

The x-axis field is used to create multiple-series box plots by setting the category. See Box plots for more information.

String
splitCategory

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

String
splitCategoryAsMeanLine

Specifies whether multiple-series box plots that are created with a split field will be displayed as mean lines or side-by-side boxes.

  • TrueDisplay split multiple-series box plots as mean lines.
  • FalseDisplay multiple-series box plots as side-by-side boxes.

(Der Standardwert ist False)

Boolean
standardizeValues

Specifies whether box plots that are created from multiple fields will be standardized.

  • TrueDisplay standardized values.
  • FalseDisplay nonstandardized values.

(Der Standardwert ist True)

Boolean
showOutliers

Specifies whether outliers will be shown as points extending beyond the whiskers.

  • TrueDisplay outliers as points.
  • FalseInclude outliers in whiskers.

(Der Standardwert ist False)

Boolean
rotated

Specifies whether boxes will be viewed vertically or horizontally.

  • TrueThe chart is rotated so that boxes will be displayed horizontally.
  • FalseBoxes will be displayed vertically.

(Der Standardwert ist False)

Boolean
title

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

The description of the chart. The description text appears at the bottom of the chart view.

String
xTitle

The title of the x-axis of the chart.

String
yTitle

The title of the y-axis of the chart.

String
dataSource

The data source of the chart. When a chart is exported using the exportToSVG method or displayed in an ArcGIS Notebook, the data source will be read and rendered on the chart. Valid data sources include the following:

  • Paths to datasets, including local datasets, UNC paths, and service URLs
  • Arrow table objects
  • Layer objects

Object
displaySize
[displaySize,...]

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 in which 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)

The data source of the chart. When a chart is exported using the exportToSVG method or displayed in an ArcGIS Notebook, the data source will be read and rendered on the chart. Valid data sources include the following:

  • Paths to datasets, including local datasets, UNC paths, and service URLs
  • Arrow table objects
  • Layer objects.

Object
description
(Lesen und schreiben)

The description of the chart. The description text appears at the bottom of the chart view.

String
displaySize
(Lesen und schreiben)

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 in which the first item is the width of the chart and the second item is the height of the chart.

List
legend
(Lesen und schreiben)

The properties of the chart legend.

  • visible—Specifies whether the legend will be displayed in the chart view. True displays the legend, and False hides the legend.
  • title—The title of the legend.
Object
rotated
(Lesen und schreiben)

Specifies whether the chart will be displayed vertically or horizontally.

  • TrueThe chart will be displayed horizontally.
  • FalseThe chart will be displayed vertically.
Boolean
showOutliers
(Lesen und schreiben)

Specifies whether outliers will be shown as points extending beyond the whiskers.

  • TrueDisplay outliers as points.
  • FalseInclude outliers in whiskers.
Boolean
splitCategory
(Lesen und schreiben)

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

String
splitCategoryAsMeanLine
(Lesen und schreiben)

Specifies whether multiple-series box plots that are created with a split field will be displayed as mean lines or side-by-side boxes.

  • TrueDisplay split multiple-series box plots as mean lines.
  • FalseDisplay multiple-series box plots as side-by-side boxes.
Boolean
standardizeValues
(Lesen und schreiben)

Specifies whether box plots that are created from multiple fields will be standardized.

  • TrueDisplay standardized values.
  • FalseDisplay nonstandardized values.
Boolean
theme
(Lesen und schreiben)

Specifies the name of the theme that is applied to the chart.

String
title
(Lesen und schreiben)

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 that will be used to create multiple-series box plots by setting the category. See Box plots for more information.

String
xAxis
(Lesen und schreiben)

The properties of the x-axis.

  • field—The field name used to create multiple-series box plots by setting the category.
  • logarithmic—This property is not supported for the Box class.
  • maximum—The maximum axis bound.
  • minimum—The minimum axis bound.
  • sort—The sort order applied to this axis. ASC is for ascending order and DESC is for descending order.
  • title—The label of the axis that displays on the chart.
Object
y
(Lesen und schreiben)

The field or fields that will be displayed as boxes. Provide a single field name or a list of field names.

String
yAxis
(Lesen und schreiben)

The properties of the y-axis.

  • field—The field or fields that will be displayed as boxes. You must specify a single field name or a list of field names.
  • logarithmic—This property is not supported for the Box class.
  • maximum—The maximum axis bound.
  • minimum—The minimum axis bound.
  • sort—The sort order applied to this axis. MEAN_ASC and MEAN_DESC are used to sort the boxes by the mean values in ascending or descending order, respectively. MEDIAN_ASC and MEDIAN_DESC are used to sort the boxes by the median values in ascending or descending order, respectively.
  • 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 box plot using a .csv file and export the box plot to an .svg file.


import arcpy
chart = arcpy.charts.Box(y=["pct_diabetes", "pct_asthma", "pct_heart"], 
                         splitCategory="State", 
                         dataSource="chronic_health_conditions.csv")
chart.title = "Distribution of Chronic Health Conditions by State"
chart.exportToSVG("box.svg", width=700, height=600)