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Version: 8.1

system.dataset.updateRow

This function is used in Python Scripting.

Description

Takes a dataset and returns a new dataset with a one row altered. To alter the row, this function takes a Python dictionary to represent the changes to make to the specified row. The keys in the dictionary are used to find the columns to alter.

note

Datasets are immutable, which means they cannot be directly modified once created. Instead, this scripting function returns a new dataset with some modification applied, which must be assigned to a variable to be used. See Altering a Dataset.

Client Permission Restrictions

This scripting function has no Client Permission restrictions.

Syntax

system.dataset.updateRow(dataset, rowIndex, changes)

Parameters

TypeParameterDescription
DatasetdatasetThe starting dataset. Will not be modified (datasets are immutable), but acts as the basis for the returned dataset.
IntegerrowIndexThe index of the row to update (starting at 0).
Dictionary[String, Any]changesA dictionary of changes to make. The keys in the dictionary should match column names in the dataset, and their values will be used to update the row.

Returns

Dataset - A new dataset with the values at the specified row updated according to the values in the dictionary.

Scope

Gateway, Vision Client, Perspective Session

Code Examples

Code Snippet
# This example could be used to dynamically change the data that an Easy Chart displays.
# In this simple example, we assume that the chart is always configured to display a single tank's level.
# This script updates the pen being displayed using a dynamic tank number.

# Generate new tag name and tag path.
tankNumber = 5
newName = "Tank %d Level" % tankNumber
newPath = "Tanks/Tank %d/Level" % tankNumber

# Consolidate changes into a dictionary.
updates = {"NAME": newName, "TAG_PATH":newPath}

# Update the Easy Chart.
chart = event.source.parent.getComponent("Easy Chart")
newPens = system.dataset.updateRow(chart.tagPens, 0, updates)
chart.tagPens = newPens

Keywords

system dataset updateRow, dataset.updateRow