impulse_query_engine.model.series.points_in_time
PointInTime class implementation
PointsInTime
class PointsInTime()
__init__
def __init__(tstarts: npt.NDArray)
Initialize the PointsInTime object.
Arguments:
tstarts(numpy.ndarray or array-like): Array of time points.
dtype
def dtype()
Returns the Spark data type for points in time.
Returns:
pyspark.sql.types.ArrayType: Spark ArrayType for points in time: [tstart_1, ..., tstart_N].
get_data
def get_data() -> list
Returns a list of time points.
Returns:
list: List of time points.
__len__
def __len__()
Returns the number of time points.
Returns:
int: Number of time points.
__and__
def __and__(other: PointsInTime) -> PointsInTime
Returns the intersection with another PointsInTime object.
Arguments:
other(PointsInTime): PointsInTime object to intersect with.
Returns:
PointsInTime: Intersection result.
__or__
def __or__(other: PointsInTime) -> PointsInTime
Returns the union with another PointsInTime object.
Arguments:
other(PointsInTime): PointsInTime object to union with.
Returns:
PointsInTime: Union result.
expand_right
def expand_right(width: float)
Expands each point in time to an interval to the right by the given width.
Arguments:
width(float): Amount to expand to the right (in seconds).
Returns:
Intervals: Intervals object with expanded right bounds.
expand_left
def expand_left(width: float)
Expands each point in time to an interval to the left by the given width.
Arguments:
width(float): Amount to expand to the left (in seconds).
Returns:
Intervals: Intervals object with expanded left bounds.
expand
def expand(width: float)
Expands each point in time to an interval on both sides by the given width.
Arguments:
width(float): Amount to expand both sides (in seconds).
Returns:
Intervals: Intervals object with expanded bounds.
empty
def empty()
Returns an empty PointsInTime object.
Returns:
PointsInTime: Empty PointsInTime object.