Closed
Description
Code Sample, a copy-pastable example if possible
In [2]: import pandas as pd
In [3]: a = pd.Series([True,False,True])
In [4]: a
Out[4]:
0 True
1 False
2 True
dtype: bool
In [6]: a[0] = pd.np.nan
In [7]: a
Out[7]:
0 NaN
1 0.0
2 1.0
dtype: float64
Expected Output
based on type promotions mentioned here I would expect the series to get promoted to object
to allow for NaN
s.
When introducing NAs into an existing Series or DataFrame via reindex or some other means, boolean and integer types will be promoted to a different dtype in order to store the NAs. These are summarized by this table:
In [7]: a
Out[7]:
0 NaN
1 False
2 True
dtype: object
output of pd.show_versions()
In [2]: pd.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.11.final.0
python-bits: 64
OS: Darwin
OS-release: 15.4.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US
pandas: 0.18.0
nose: 1.3.7
pip: 8.1.1
setuptools: 20.6.7
Cython: None
numpy: 1.10.4
scipy: 0.17.0
statsmodels: None
xarray: None
IPython: 4.1.2
sphinx: 1.3.5
patsy: None
dateutil: 2.5.2
pytz: 2016.3
blosc: None
bottleneck: None
tables: None
numexpr: None
matplotlib: 1.5.1
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: 4.4.1
html5lib: 0.999
httplib2: None
apiclient: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.8
boto: 2.39.0```