BUG: IntervalIndex.get_indexer fails for homogeneous Period targets

[jschendel]

Code Sample, a copy-pastable example if possible

In [1]: import pandas as pd; pd.__version__
Out[1]: '0.26.0.dev0+1256.g52f5fdf10'

In [2]: ii = pd.interval_range(pd.Timestamp('2018-01-01'), freq='3D', periods=3)

In [3]: pi = pd.period_range('2018-01-01', freq='D', periods=3)

In [4]: ii.get_indexer(pi)
---------------------------------------------------------------------------
TypeError: No matching signature found

In [5]: ii.get_indexer(pd.array(pi))
---------------------------------------------------------------------------
TypeError: No matching signature found

In [6]: ii.get_indexer(list(pi))
---------------------------------------------------------------------------
TypeError: No matching signature found

Note that heterogeneous targets containing Period objects are okay, as they get coerced to object dtype:

In [7]: ii.get_indexer(list(pi) + [10])
Out[7]: array([-1, -1, -1, -1])

xref #30063 (comment)

Problem description

Homogeneous Period targets incorrectly raise a TypeError for IntervalIndex.get_indexer.

Expected Output

I'd expect IntervalIndex.get_indexer to return an array indicating all values are missing (-1) for homogeneous Period targets.

Output of pd.show_versions()

INSTALLED VERSIONS

commit : 52f5fdf
python : 3.7.4.final.0
python-bits : 64
OS : Linux
OS-release : 4.19.14-041914-generic
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 0.26.0.dev0+1256.g52f5fdf10
numpy : 1.17.2
pytz : 2019.2
dateutil : 2.8.0
pip : 19.2.3
setuptools : 41.6.0.post20191030
Cython : 0.29.13
pytest : 5.2.0
hypothesis : 4.36.2
sphinx : 1.8.5
blosc : None
feather : None
xlsxwriter : 1.2.1
lxml.etree : 4.4.1
html5lib : 1.0.1
pymysql : None
psycopg2 : None
jinja2 : 2.10.1
IPython : 7.8.0
pandas_datareader: None
bs4 : 4.8.0
bottleneck : 1.2.1
fastparquet : 0.3.2
gcsfs : None
lxml.etree : 4.4.1
matplotlib : 3.1.1
numexpr : 2.7.0
odfpy : None
openpyxl : 3.0.0
pandas_gbq : None
pyarrow : 0.15.0
pytables : None
pytest : 5.2.0
s3fs : 0.3.4
scipy : 1.3.1
sqlalchemy : 1.3.8
tables : 3.5.1
xarray : 0.13.0
xlrd : 1.2.0
xlwt : 1.3.0
xlsxwriter : 1.2.1

[mroeschke]

This looks to work on master. Could use a test

In [2]:
   ...: In [2]: ii = pd.interval_range(pd.Timestamp('2018-01-01'), freq='3D', periods=3)
   ...:
   ...: In [3]: pi = pd.period_range('2018-01-01', freq='D', periods=3)
   ...:
   ...: In [4]: ii.get_indexer(pi)
Out[2]: array([-1, -1, -1])

In [3]: In [5]: ii.get_indexer(pd.array(pi))
Out[3]: array([-1, -1, -1])

In [4]: In [6]: ii.get_indexer(list(pi))
Out[4]: array([-1, -1, -1])

[itsguneetsingh]

I am a first timer and I don't know what exactly you would want in the test. Could you maybe help by telling exactly you're looking for in the test??

[parthi-siva]

take