BUG: IntervalIndex.is_non_overlapping_monotonic returns numpy.bool_ instead of Python bool · Issue #17237 · pandas-dev/pandas (original) (raw)

Code Sample, a copy-pastable example if possible

In [1]: import pandas as pd ...: idx = pd.IntervalIndex.from_breaks(range(10))

In [2]: type(idx.is_non_overlapping_monotonic) Out[2]: numpy.bool_

Problem description

This behavior is inconsistent with other Boolean attributes/methods, such as is_monotonic and is_unique:

In [3]: type(idx.is_monotonic) Out[3]: bool

In [4]: type(idx.is_unique) Out[4]: bool

It also causes issues when using the is operator, e.g. np.bool_(True) is True evaluates to False.

Expected Output

I'd expect is_non_overlapping_monotonic to return a Python bool.

Output of `pd.show_versions()`

INSTALLED VERSIONS

commit: None
python: 3.6.2.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None