Resumen
Data clocks visually summarize temporal data into two dimensions to reveal seasonal or cyclical patterns and trends over time.
Debate
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.
Sintaxis
DataClock (dateField, {numberField}, {timeUnitsRingWedge}, {aggregation}, {nullPolicy}, {classificationMethod}, {classCount}, {title}, {description}, {dataSource}, {displaySize})| Parámetro | Explicación | Tipo de datos |
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 | The description for the time-unit pair supported in the data clock chart. The following options are supported:
| String |
aggregation | The statistical calculation applied to values aggregated into each cell. Supported statistics are COUNT, SUM, MEAN, MEDIAN, MIN, and MAX. | String |
nullPolicy | How summarized cells returning a null value are displayed. Supported options are null and zero. | String |
classificationMethod | The classification method used to visualize cell color. Supported options are equalIntervals, geometricalIntervals, naturalBreaks, and quantiles | String |
classCount | The number of classes used in the classification method. | Integer |
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 |
Propiedades
| Propiedad | Explicación | Tipo de datos |
| aggregation (Lectura y escritura) | The statistical calculation applied to values aggregated into each cell. Supported statistics are COUNT, SUM, MEAN, MEDIAN, MIN, and MAX. | String |
| classCount (Lectura y escritura) | The number of classes used in the classification method. | Integer |
| classificationMethod (Lectura y escritura) | The classification method used to visualize cell color. Supported options are equalIntervals, geometricalIntervals, naturalBreaks, and quantiles. | String |
| dataSource (Lectura y escritura) | 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 |
| dateField (Lectura y escritura) | The name of the date field that is used to create the chart. | String |
| description (Lectura y escritura) | Sets the description of the chart. The description text appears at the bottom of the chart view. | String |
| displaySize (Lectura y escritura) | 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 (Lectura y escritura) | Sets the properties of the chart legend.
| Object |
| nullPolicy (Lectura y escritura) | How summarized cells returning a null value are displayed. Supported options are null and zero. | String |
| numberField (Lectura y escritura) | The name of the field that is aggregated and used to determine the color of the chart cells. | String |
| timeUnitsRingWedge (Lectura y escritura) | The description for the time-unit pair supported in the data clock chart. The following options are supported:
| String |
| title (Lectura y escritura) | 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 (Sólo lectura) | The string value indicating the chart type. | String |
.Descripción general del método
| Método | Explicación |
| 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. |
Métodos
addToLayer (layer_or_layerfile)
| Parámetro | Explicación | Tipo de datos |
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)
| Parámetro | Explicación | Tipo de datos |
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()Muestra de código
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.CalendarHeat(dateField="Date", aggregation="count",
timeUnitsRingWedge="WEEKS_DAYS", dataSource=lyr)
chart.exportToSVG("data_clock.svg", width=750, height=500)