contains(self, other)
Return a boolean mask whether the value is contained in the Intervals of the IntervalArray.
The value to check whether it is contained in the Intervals.
Check elementwise if the Intervals contain the value.
Interval.contains
Check whether Interval object contains value.
IntervalArray.overlaps
Check if an Interval overlaps the values in the IntervalArray.
>>> intervals = pd.arrays.IntervalArray.from_tuples([(0, 1), (1, 3), (2, 4)])This example is valid syntax, but we were not able to check execution
... intervals <IntervalArray> [(0, 1], (1, 3], (2, 4]] Length: 3, dtype: interval[int64, right]
>>> intervals.contains(0.5) array([ True, False, False])See :
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
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All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them