| Label | Explanation | Data Type |
Input Features
| The feature class that contains the HTML_CHART field with the HTML code to create a pop-up chart. The feature class must have a 32 bit ObjectID - 64 bit Object IDs are not supported. | Feature Layer |
Output Features
| The output feature class that will contain the pop-up chart of each feature saved as an image attachment. | Feature Class |
Width
(Optional) | The width, in pixels, of each image attachment. | Long |
Height
(Optional) | The height, in pixels, of each image attachment. | Long |
Rotate X Axis Labels
(Optional) | Specifies whether the x-axis labels will be rotated.
| Boolean |
Summary
Prepares interactive pop-up charts for web display by saving them as image attachments to a feature class.
Several tools in the Spatial Statistics and Space Time Pattern Mining toolboxes create output feature classes that include an HTML_CHART field. If you click a feature that contains this field, an interactive chart will appear in the pop-up pane. However, if you share this feature class as a web layer to ArcGIS Online and click a feature in Map Viewer, the chart will not appear in the pop-ups. This tool creates a feature class that contains the pop-up charts as image attachments. If the feature class with image attachments is shared as a web service to ArcGIS Online, the charts will appear in the pop-ups of the web feature layer.
Illustration
Usage
This tool accepts the output feature class from the following tools: Local Bivariate Relationships, Causal Inference Analysis, Time Series Smoothing, Change Point Detection, Forest Based Forecast, Time Series Clustering, Curve Fit Forecast, Exponential Smoothing Forecast, and Evaluate Forecasts by Location.
This tool does not accept netCDF space-time cube files as input. To use the analysis and forecasting results that are stored in a space-time cube as input to this tool, run the Visualize Space Time Cube in 2D tool and create a feature class that enables pop-ups.
The output feature class from this tool should have the same rendering as the input feature class. If the rendering is different, reapply the rendering using the Apply Symbology From Layer tool. Use the input feature class as the Symbology Layer parameter value and the output feature class as the Input Layer parameter value.
By default, the tool uses half of the cores available. Modify the Parallel Processing Factor environment to change the number of cores that will be used by the tool.
To share the output from this tool as a web layer, you must sign in to your ArcGIS Online or ArcGIS Enterprise account in ArcGIS AllSource, and share the layers as a web layer. The account must have the privilege to publish hosted feature layers.
To see the charts online, view the web feature layer in Map Viewer. The charts will not appear if viewing the web layer in Map Viewer Classic.
If the pop-ups in Map Viewer do not contain an image of a chart, you may need to configure the pop-ups. Click the layer then click Pop-ups in the Settings (light) toolbar. Click Add content and choose the Attachments option. The charts will now appear in the pop-ups.
The output feature class from the Time Series Smoothing tool will contain features with a blank, <Null>, value in the Time Series HTML Pop-up field. Features with a blank value in this field will not have an image attachment in the output feature class. In Map Viewer, you can apply a filter expression to remove the features that have a blank value in the Time Series HTML Pop-up field.
If you run the tool and the x-axis labels in the charts overlap, rerun the tool and check the Rotate X Axis Labels parameter. This parameter reduces overlapping x-axis labels by rotating them 20 degrees.
Parameters
arcpy.stats.ConvertSSPopup(in_features, out_feature_class, {img_width}, {img_height}, {rotate_x_axis_labels})| Name | Explanation | Data Type |
in_features | The feature class that contains the HTML_CHART field with the HTML code to create a pop-up chart. The feature class must have a 32 bit ObjectID - 64 bit Object IDs are not supported. | Feature Layer |
out_feature_class | The output feature class that will contain the pop-up chart of each feature saved as an image attachment. | Feature Class |
img_width (Optional) | The width, in pixels, of each image attachment. | Long |
img_height (Optional) | The height, in pixels, of each image attachment. | Long |
rotate_x_axis_labels (Optional) | Specifies whether the x-axis labels will be rotated.
| Boolean |
Code sample
The following Python script demonstrates how to use the ConvertSSPopup function.
import arcpy
in_features = r"C:\data\health.gdb\LBR_life_expectancy_physical_activity"
out_features_img_attachments = r"C:\data\health.gdb\LBR_popups"
arcpy.stats.ConvertSSPopup(in_features, out_features_img_attachments, None, None, "NO_ROTATE")The following Python script demonstrates how to use the ConvertSSPopup function.
import arcpy
arcpy.env.workspace = r"C:\Analysis\health.gdb"
#Run a tool from the Spatial Statistics or Space Time Mining toolbox that generates popup charts
arcpy.LocalBivariateRelationships_stats("us_counties", "life_expectancy", "physical_activity", "LBR_life_expectancy_physical_activity")
# Run the Convert Spatial Statistics Popup Charts for Web Display tool
arcpy.stats.ConvertSSPopup("LBR_life_expectancy_physical_activity", "LBR_popups", None, None, "NO_ROTATE")