pandas.arrays.IntervalArray.take¶
-
IntervalArray.take(indices, allow_fill=False, fill_value=None, axis=None, **kwargs)[source]¶ Take elements from the IntervalArray.
Parameters: - indices : sequence of integers
Indices to be taken.
- allow_fill : bool, default False
How to handle negative values in indices.
- False: negative values in indices indicate positional indices
from the right (the default). This is similar to
numpy.take(). - True: negative values in indices indicate
missing values. These values are set to fill_value. Any other
other negative values raise a
ValueError.
- False: negative values in indices indicate positional indices
from the right (the default). This is similar to
- fill_value : Interval or NA, optional
Fill value to use for NA-indices when allow_fill is True. This may be
None, in which case the default NA value for the type,self.dtype.na_value, is used.For many ExtensionArrays, there will be two representations of fill_value: a user-facing “boxed” scalar, and a low-level physical NA value. fill_value should be the user-facing version, and the implementation should handle translating that to the physical version for processing the take if necessary.
- axis : any, default None
Present for compat with IntervalIndex; does nothing.
Returns: - IntervalArray
Raises: - IndexError
When the indices are out of bounds for the array.
- ValueError
When indices contains negative values other than
-1and allow_fill is True.