Suppress spikes in the yearly graph.

[sblantipodi]

Hi,
all...

Is there a way to suppress skipes in the yearly graph?

[beenpricked]

I would like to second that, I am going to have to hand in my yearly in about two months, this would help out a ton...

[Fëanor]

AFAIK, not specifically for the yearly graph. Here is what I would do:

Plan A: Instead of 1 graph for the year, run the graph for 3 separate timeframes (before, during, and after the spike). This way you are reporting the spike with detail, but the data from the rest of the year is still legible.

Plan B: This will affect more than just Yearly graphs, but in the Graph Template set an appropriate --upper-limit value (lower than the spike, determine where you want the cutoff to be) and enable Autoscale with the Use --alt-autoscale (accepting both limits, rrdtool default) option.

[sblantipodi]

AFAIK, not specifically for the yearly graph. Here is what I would do:

Plan A: Instead of 1 graph for the year, run the graph for 3 separate timeframes (before, during, and after the spike). This way you are reporting the spike with detail, but the data from the rest of the year is still legible.

Plan B: This will affect more than just Yearly graphs, but in the Graph Template set an appropriate --upper-limit value (lower than the spike, determine where you want the cutoff to be) and enable Autoscale with the Use --alt-autoscale (accepting both limits, rrdtool default) option.

I would like to use the Plan B but I have done what you saied and the spikes is there,
no cut has been made.

[gandalf]

The recommended plan B involves cutting invalid data off at data template/data source level.
Navigate to the data template and define an e.g. upper level. This will affect all new data sources related to that data tenplate.
For existing data sources/rrd files, please use "rrdtool tune --maximum..."
R.

[sblantipodi]

The recommended plan B involves cutting invalid data off at data template/data source level.
Navigate to the data template and define an e.g. upper level. This will affect all new data sources related to that data tenplate.
For existing data sources/rrd files, please use "rrdtool tune --maximum..."
R.

thanks.