New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

BUG: IntervalIndex.insert does not work for inserting NaN #18295

jschendel opened this Issue Nov 14, 2017 · 0 comments


None yet
2 participants

jschendel commented Nov 14, 2017

Code Sample, a copy-pastable example if possible

In [3]: ivs = pd.interval_range(0, 4)
   ...: ivs
IntervalIndex([(0, 1], (1, 2], (2, 3], (3, 4]]

In [4]: ivs.insert(2, np.nan)
ValueError: can only insert Interval objects into an IntervalIndex

Problem description

IntervalIndex.insert fails to insert NaN.

Note that NaN should be valid to insert, as you can construct an IntervalIndex with NaN:

In [5]: pd.IntervalIndex([pd.Interval(0, 1), np.nan, pd.Interval(2, 3)])
IntervalIndex([(0.0, 1.0], nan, (2.0, 3.0]]

Additionally, other types of index allow for NaN to be inserted:

In [6]: pd.Index(list('abc')).insert(2, np.nan)
Out[6]: Index(['a', 'b', nan, 'c'], dtype='object')

In [7]: pd.period_range('2017Q1', periods=4, freq='Q').insert(2, np.nan)
Out[7]: PeriodIndex(['2017Q1', '2017Q2', 'NaT', '2017Q3', '2017Q4'], dtype='period[Q-DEC]', freq='Q-DEC')

Expected Output

NaN to be inserted at the specified location:

IntervalIndex([(0.0, 1.0], (1.0, 2.0], nan, (2.0, 3.0], (3.0, 4.0]]

Output of pd.show_versions()


commit: None
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

pandas: 0.21.0
pytest: 3.1.2
pip: 9.0.1
setuptools: 27.2.0
Cython: 0.26
numpy: 1.13.3
scipy: 0.19.1
pyarrow: None
xarray: None
IPython: 6.1.0
sphinx: 1.5.6
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.2
blosc: None
bottleneck: 1.2.1
tables: 3.2.2
numexpr: 2.6.4
feather: None
matplotlib: 2.0.2
openpyxl: 2.4.7
xlrd: 1.0.0
xlwt: 1.2.0
xlsxwriter: 0.9.6
lxml: 3.7.3
bs4: 4.6.0
html5lib: 0.999
sqlalchemy: 1.1.9
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment