Dashboards & Visualizations

Very low floating point values cause confusing graph rendering issues

ryan909
New Member

Graph being rendered with very low values, this can cause the Y axis to be rendered with different points for the same value of "0", causing multiple "0" on the Y Scale.

This appears to be being caused by the relatively low granularity of the Y-axis of the graph and the high granularity of the data being plotted (.e.g. 0.000032, 0.000064).

This sort of graph rendering will only really occur if there is very low values needed to be plotted, my problem is that I need very large values and very small values on the same graph as the data can change.

It is possible to change the Y axis scale to to allow for floating points when the values become very small?

0 Karma

Simon_Fishel
Splunk Employee
Splunk Employee

This sounds like a bug, would it be possible for you to post a screenshot? And what version of Splunk are you using?

In the meantime, there are a couple of potential work-arounds. If your data is all very small numbers, you could set an explicit minimum/maximum/interval for the y-axis. You could also try setting the y-axis to log scale.

0 Karma
Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

Turn Cisco Telemetry Into Action with Cisco Data Fabric, powered by the Splunk ...

The surge in machine data is already hitting enterprise budgets, and the agentic era will only intensify it. ...

Persistent Queue at TcpOut — One of Splunk's Most Practical Features

Splunk introduced persistent queueing at the tcpout layer as one of the most practical resilience features in ...

Skip the Awkward Silence: Have a .conf-ersation at .conf26

Picture this. You arrive at .conf26 already having your socializing and networking plans mapped out. No ...