derivative platform creates a sensor that estimates the derivative of the values provided by a source sensor.
Derivative sensors are updated upon changes of the source.
To enable Derivative Sensor in your installation, add the following to your
# Example configuration.yaml entry sensor: - platform: derivative source: sensor.current_speed
Round the calculated derivative value to at most N decimal places.
Metric unit to prefix the derivative result (Wikipedia). Available symbols are “n” (1e-9), “µ” (1e-6), “m” (1e-3), “k” (1e3), “M” (1e6), “G” (1e9), “T” (1e12).
SI unit of time of the derivative. Available units are s, min, h, d. If this parameter is set, the attribute unit_of_measurement will be set like x/y where x is the unit of the sensor given via the source parameter and y is the value given here.
Unit of Measurement to be used for the derivative. This will overwrite the automatically set unit_of_measurement as explained above.
For example, you have a temperature sensor
sensor.temperature that outputs a value every few seconds, but rounds to the nearest half number.
That means that two consecutive output values might be the same (so the derivative is
However, the temperature might actually be changing over time.
In order to capture this, you should use a
time_window, such that immediate jumps don’t result in high derivatives and that after the next sensor update, the derivatives doesn’t vanish to zero.
An example configuration that uses
sensor: - platform: derivative source: sensor.temperature name: Temperature change per hour round: 1 unit_time: h # the resulting "unit_of_measurement" will be °C/h if the sensor.temperate has set °C as it's unit time_window: "00:30:00" # we look at the change over the last half hour
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