DataClock

Zusammenfassung

Data clocks visually summarize temporal data into two dimensions to reveal seasonal or cyclical patterns and trends over time.

Learn more about data clocks 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

DataClock (dateField, {numberField}, {timeUnitsRingWedge}, {aggregation}, {nullPolicy}, {classificationMethod}, {classCount}, {title}, {description}, {dataSource}, {displaySize})

Parameter	Erläuterung	Datentyp
dateField	The name of the date field that is used to create the chart.	String
numberField	The name of the field that is aggregated and used to determine the color of the chart cells.	String
timeUnitsRingWedge	Specifies the time-unit pair that is supported in the data clock chart. YEARS_MONTHS—Display years on the ring axis and months on the wedge axis. YEARS_WEEKS—Display years on the ring axis and weeks on the wedge axis. YEARS_DAYS—Display years on the ring axis and days on the wedge axis. WEEKS_DAYS—Display weeks on the ring axis and days on the wedge axis. DAYS_HOURS—Display days on the ring axis and hours on the wedge axis.	String
aggregation	Specifies the statistical calculation that will be applied to values aggregated into each cell. COUNT—The total number of records will be identified. SUM—The sum of all values will be calculated. MEAN—The mean of all values will be calculated. MEDIAN—The median of all values will be calculated. MIN—The minimum value will be identified. MAX—The maximum value will be identified.	String
nullPolicy	Specifies how summarized cells returning a null value will be displayed. null—Cells will be displayed as null. zero—Cells will be displayed as zero.	String
classificationMethod	Specifies the classification method that will be used to visualize cell color and classify data. equalIntervals—The equal interval method will be used. geometricalIntervals—The geometric interval method will be used. naturalBreaks—The natural breaks method will be used. quantiles—The quantiles method will be used.	String
classCount	The number of classes used in the classification method.	Integer
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
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

Eigenschaft	Erläuterung	Datentyp
aggregation (Lesen und schreiben)	Specifies the statistical calculation that will be applied to values aggregated into each cell. COUNT—The total number of records will be identified. SUM—The sum of all values will be calculated. MEAN—The mean of all values will be calculated. MEDIAN—The median of all values will be calculated. MIN—The minimum value will be identified. MAX—The maximum value will be identified.	String
classCount (Lesen und schreiben)	The number of classes used in the classification method.	Integer
classificationMethod (Lesen und schreiben)	Specifies the classification method that will be used to visualize cell color and classify data. equalIntervals—The equal interval method will be used. geometricalIntervals—The geometric interval method will be used. naturalBreaks—The natural breaks method will be used. quantiles—The quantiles method will be used.	String
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
dateField (Lesen und schreiben)	The name of the date field that is used to create the chart.	String
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
nullPolicy (Lesen und schreiben)	Specifies how summarized cells returning a null value will be displayed. null—Cells will be displayed as null. zero—Cells will be displayed as zero.	String
numberField (Lesen und schreiben)	The name of the field that is aggregated and used to determine the color of the chart cells.	String
theme (Lesen und schreiben)	Specifies the name of the theme that is applied to the chart.	String
timeUnitsRingWedge (Lesen und schreiben)	Specifies the time-unit pair that is supported in the data clock chart. YEARS_MONTHS—Display years on the ring axis and months on the wedge axis. YEARS_WEEKS—Display years on the ring axis and weeks on the wedge axis. YEARS_DAYS—Display years on the ring axis and days on the wedge axis. WEEKS_DAYS—Display weeks on the ring axis and days on the wedge axis. DAYS_HOURS—Display days on the ring axis and hours on the wedge axis.	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 .	String
type (Schreibgeschützt)	The string value indicating the chart type.	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

addToLayer (layer_or_layerfile)

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
chart.addToLayer(censusLayer)

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.

chart.addToLayer(myLayer)

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

Codebeispiel

Create a data clock chart using a layer in the current project and export the chart to an .svg file.

import arcpy
lyr = arcpy.mp.ArcGISProject("current").listMaps()[0].listLayers("car_accidents")[0]
chart = arcpy.charts.DataClock(dateField="Date", aggregation="count", 
                               timeUnitsRingWedge="WEEKS_DAYS", dataSource=lyr)
chart.exportToSVG("data_clock.svg", width=750, height=500)