Boolean indexing into a series with assignment · Issue #30567 · pandas-dev/pandas (original) (raw)

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Description

I am curious if the following is the intended behavior:

x = pd.Series([None] * 10) y = [False] * 3 + [True] * 5 + [False] * 2 x[y] = range(5) x

0 None

1 None

2 None

3 3

4 4

5 0

6 1

7 2

8 None

9 None

The expectation was that it would work as with x.loc[y] = range(5):

0 None

1 None

2 None

3 0

4 1

5 2

6 3

7 4

8 None

9 None

If so, where can one read about the logic behind?

LANG : en_US.UTF-8 LOCALE : en_US.UTF-8

pandas : 0.25.3
numpy : 1.17.4
pytz : 2018.4
dateutil : 2.5.0
pip : 19.2.3
setuptools : 41.2.0
Cython : None
pytest : 5.1.2
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 3.8.0
html5lib : 1.0.1
pymysql : None
psycopg2 : None
jinja2 : 2.8
IPython : 6.5.0
pandas_datareader: None
xlsxwriter : None
pandas_gbq : None
pyarrow : 0.15.1
bs4 : 4.7.1
numexpr : None
xarray : None
fastparquet : None
tables : None
s3fs : None
odfpy : None
pytables : None
xlrd : None
gcsfs : None
xlwt : None
sqlalchemy : 1.3.4
scipy : 1.3.1
openpyxl : None
lxml.etree : 3.8.0
matplotlib : 3.0.3
bottleneck : None