Back to: Index of transforms
Transforms in this section operate on a time series. Learn more about how to search for and add a transformation.
Add a time series sensor object type (a time series attached to a root object).
Convert a group of dates/times and group of values to a time series.
Produce a time series using a formula.
Compute an aggregate value over a rolling time window (such as a moving average).
Compute the cumulative aggregate of another time series.
Compute the periodic aggregate of a time series.
Plot the derivative of another time series.
Plot the integral of another time series.
Plot the sample of another time series.
Filter a time series to a specified time range, and/or filter on a specified condition.
Shift a time series forward or back by a specified duration.
Shift a time series relative to some point in time.
Combine multiple time series by unioning them together.
Transform a time series using a digital signal processing filter.
Compute bucketed values based on segments of your time series.
Produce a scatter plot from two time series.
Create a linear, polynomial or exponential regression on a time series.
Create a scatter plot of two time series against each other.
Linearly aggregate a group of time series into a single time series.
Create a new plot with a custom color, title, and more.
Returns an aggregation of an input time series (for example: min, max, average, sum) into a single number.
The available number aggregations are:
Returns the most recent value for an enum time series.
Returns the value unit of the input time series.