Support

Hi all,

Background:

I wrote an app some time ago to pull data from nightscout for Diabetes blood glucose monitoring.

I'm using a sparkling to draw a graph of blood sugar levels over the last 3 hours.

ChartData and negative numbers

The blood glucose levels aren't always available. Sometimes there are gaps in the data.

I previously included negative numbers in my chartData to show gaps:

"chartData": [
                160,
                140,
                120,
                100,
                -160,
                100,
                120,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100,
                100
            ]

It seemed that there was a feature of the sparkline. negative numbers were rendered as a full height grey bar, without a white pixel at the top:

Here's an example of how this missing data was rendered (note no white pixel in column 5)

I released an update to the app a few days ago, and although the data feed has not changed, the way the graph is rendered has changed:

Now, negative numbers are represented as a white pixel:

This makes the graph harder to understand, I can't tell if my blood sugar level is low or if there is a missing entry on the graph.

What would help

Restoring negative numbers being rendered as grey bars (without the white pixel at the top)

It would be awesome if there was a chordate entry I could add that asked the LaMetic to avoid drawing a column:

"chartData": [
  160,
  140,
  120,
  100,
  false or null or "NaN" or "LEAVEBLANK",
]

 So that it might be shown as :