---
title: "Report Component - Timeseries Chart"
description: "The Timeseries Chart, while similar to the XY Chart, uses a datetime value for the Domain Axis instead of a numerical value. This chart is ideal when trying to display Tag Historian data in a Report."
---

# Report Component - Timeseries Chart

> The Timeseries Chart, while similar to the XY Chart, uses a datetime value for the Domain Axis instead of a numerical value. This chart is ideal when trying to display Tag Historian data in a Report.

The Timeseries Chart, while similar to the [XY Chart](appendix\components\report-design-components\report-design-chart-palette\report-component-xy-chart\report-component-xy-chart.md), uses a datetime value for the Domain Axis instead of a numerical value. This chart is ideal when trying to display [Tag Historian](ignition-modules\reporting\report-data\tag-historian-query\tag-historian-query.md) data in a Report.

![" "](tsChartInitial.png)

**Report Design Component Palette Icon**

![" "](tsChartIcon.png)

## Properties

### Property Inspector - Chart Options Tab

![" "](tsChartOptions.png)

|Property/Symbol| Description|
|---|---|
|Data Key|Unique identifier or placeholder to the data source that will populate the chart.|
|Domain Key|The data key that should represent the X axis on the chart. The Timeseries Chart expects a timestamp, while the XY chart can use any numeric value as the domain key.|
|Pens|Pens represent a series of data. There are several properties for each pen exposed on the Chart Options tab: Range Key: The key the pen should retrieve data from.Pen Name: The name of the pen that should appear on the chart.Preview: Visual representation of how the pen will be rendered. The trend is simply a preview, and does not take the data from the range key into account.|
|Add Pen ![" "](add.png)|Adds a pen.|
|Edit Pen ![" "](edit.png)|Opens Pen Configuration area for editing.|
|Remove Pen ![" "](delete.png)|Deletes a pen.|
|Axes|There are several properties for each axis exposed on the Chart Options tab:Name: The name of the axis.Label: Text next to the axis. Commonly used to describe what the values of each pen represent.Auto?: Determines if the axis should automatically adjust the upper and lower bound of the axis to include all data from each pen. When enabled, the High and Low properties are ignored. When disabled, High and Low will be used.Low: The low range value the axis will use when 'Auto?' is disabled.High: The high range value the axis will use when 'Auto?' is disabled.|
|Add Axis ![" "](add.png)|Add an axis.|
|Edit Axis ![" "](edit.png)|Opens Axis Configuration area for editing.|
|Remove Axis ![" "](delete.png)|Deletes an axis.|
|Scripting Enabled|Enables the script for this component to run.|
|Edit Script|Allows the chart to be modified via Python scripting before the report is rendered.|

### Property Inspector - Properties Tab

![" "](tsChartPropTab.png)

|Property|Description|
|---|---|
|Data Key|Data key of the dataset that drives this chart.|
|Axis Label Font|Font to use for axis labels.|
|Axis Tick Font|Font to use for axis tick marks.|
|Bar Width|The width of any bar datapoints, specified in milliseconds.|
|Date Format|Optional format string to override the domain axis date format.|
|Domain Key|Key name of the column inside the dataset that contains the domain (x) value.|
|Gap Threshold|Multiplier for the average space between data points to be considered a data gap for the "line with gaps" render style.|
|No Data Msg|Message to show when no data is available.
|Plot Background|Color to use for chart background. See [Color Selector](appendix\reference-pages\color-selector-reference\color-selector-reference.mdx).|
|Show Legend|If true, show a legend for the chart.|
|Opacity|How opaque the fill color is, between 0 and 1.|
|Stroke Style|What style of stroke or border to use: Hidden, Shape Outline, Border, or Double. To learn more about stroke styles, refer to [Stroke and Fill Properties](ignition-modules\reporting\report-design\stroke-and-fill-properties-for-reports\stroke-and-fill-properties-for-reports.md).|
|Stroke|[Details for the chosen stroke](ignition-modules\reporting\report-design\stroke-and-fill-properties-for-reports\stroke-and-fill-properties-for-reports.md). Each Stroke has its own properties depending on the Stroke Style chosen.|
|Roll|Number of degrees this shape is rotated clockwise.|
|Scale X|Amount to scale the width of this shape. 1 is scale to 100%.|
|Scale Y|Amount to scale the height of this shape. 1 is scale to 100%.|
|URL| A link to attach to this reporting component. Will be a clickable hyperlink if the report is exported as a PDF. You can use the values below to link to internal pages.**Page:Next** - Navigates to the next page.**Page:Back** - Navigates to the previous page.**Page:Number** - Replace "Number" with a numeral. Navigates to the specified page.|
|Visible|If true, the shape will be visible.|
|Width|Width of this shape in pixels.|
|Height|Height of this shape in pixels.|
|X|Horizontal distance in pixels between the left edge of this shape and the left edge of the page.|
|Y|Vertical distance in pixels between the upper edge of this shape and the top edge of the page.|
|Show X-Axis|If true, show the x-axis.|
|X-Axis Label|Label text for the x-axis.|

## Example

Dynamically set the range on your chart in the report. This script includes a minimum and maximum boundary so you can set operating ranges. It will throw out values that don't land in the correct range, like if you don't want to display oven temperatures below 500 degrees.

This code should be placed in the configureChart function definition of your chart. You can access it by clicking the **Edit Script** button at the bottom of the Property Inspector.

```python title="configureChart"
# set boundaries to throw out 'bad' values that land outside this range
minBoundary = 50
maxBoundary = 100
 
from org.jfree.data.general import DatasetUtilities
# get the chart, axis, data
plot = chart.getPlot()
rangeAxis = plot.getRangeAxis()
rangeAxis.setAutoRange(False)
ds = plot.dataset
 
# Find the initial range of the dataset
rangeBounds = DatasetUtilities.findRangeBounds(ds)
rangeMin = rangeBounds.getLowerBound()
rangeMax = rangeBounds.getUpperBound()
# working minimum and maximum values for dataset. these are swapped with the initial values on purpose
currentMin = rangeMax
currentMax = rangeMin
 
# loop through the dataset to find desired min and max
series = 0 # which pen to search
numItems = ds.getItemCount(series)
for i in range(numItems):
    val = ds.getYValue(series,i)
    # find lowest value that is above the minBoundary
    if val > minBoundary and val < currentMin:
        currentMin = val
    # find highest value that is below the maxBoundary
    if val < maxBoundary and val > currentMax:
        currentMax = val
 
# calculate 10% padding
padding = (currentMax - currentMin) * 0.1
 
# set bounds in chart
rangeAxis.setLowerBound(currentMin - padding)
rangeAxis.setUpperBound(currentMax + padding)
 
# for troubleshooting: look in the console after going to the preview pane to see real values
# comment these lines when done with testing
print "Min: ", currentMin
print "Max: ", currentMax
print "Padded Min: ", currentMin - padding
print "Padded Max: ", currentMax + padding
```