foundryts.functions.value_shift

foundryts.functions.value_shift(delta)

Returns a function that shifts all values of a single time series by the specified delta.

For a source time series with points (timestamp, value), upon shifting by delta, the resulting value-shifted time series will have points (timestamp, value + delta).

  • Parameters: delta (int) – The amount by which to shift the value of each point.
  • Returns: A function that accepts a single time series as input and returns the value-shifted time series.
  • Return type: (FunctionNode) -> FunctionNode

Dataframe schema

Column nameTypeDescription
timestamppandas.TimestampTimestamp of the point
valuefloatShifted value of the point
Note

This function is only applicable to numeric series.

Examples

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1 2 3 4 5 6 7 8 9 10 11 12 13 >>> series = F.points( ... (100, 0.0), ... (200, float("inf")), ... (300, 3.14159), ... (2147483647, 1.0), ... name="series" ... ) >>> series.to_pandas() timestamp value 0 1970-01-01 00:00:00.000000100 0.00000 1 1970-01-01 00:00:00.000000200 inf 2 1970-01-01 00:00:00.000000300 3.14159 3 1970-01-01 00:00:02.147483647 1.00000
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1 2 3 4 5 6 7 >>> value_shifted = F.value_shift(3.0)(series) >>> value_shifted.to_pandas() timestamp value 0 1970-01-01 00:00:00.000000100 3.00000 1 1970-01-01 00:00:00.000000200 inf 2 1970-01-01 00:00:00.000000300 6.14159 3 1970-01-01 00:00:02.147483647 4.00000
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1 2 3 4 5 6 7 >>> negative_value_shifted = F.value_shift(-3.0)(series) >>> negative_value_shifted.to_pandas() timestamp value 0 1970-01-01 00:00:00.000000100 -3.00000 1 1970-01-01 00:00:00.000000200 inf 2 1970-01-01 00:00:00.000000300 0.14159 3 1970-01-01 00:00:02.147483647 -2.00000