Closed
Description
-
I have checked that this issue has not already been reported.
-
I have confirmed this bug exists on the latest version of pandas.
-
(optional) I have confirmed this bug exists on the master branch of pandas.
Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.
Code Sample, a copy-pastable example
import pandas as pd
import scipy as sp
import scipy.sparse
spmatrix = sp.sparse.csr_matrix((2, 2))
spmatrix[0, 0] = 1
df = pd.DataFrame.sparse.from_spmatrix(spmatrix)
# work as expected, cool
df.loc[1]
# 0 0.0
# 1 0.0
# Name: 0, dtype: Sparse[float64, 0.0]
# Indexing by index list. I expect 1,0, 0.0, not cool
df.loc[[1]]
# 0 1
# 1 0.0 NaN
# whenever indexing an all-zero series, it returns Nan.
df.loc[[1]].loc[[1]]
# 0 1
# 1 NaN NaN
# dtype is good
df.loc[[1]].dtypes
# 0 Sparse[float64, 0.0]
# 1 Sparse[float64, 0.0]
# dtype: object
# indexing by bool list also not cool
df.loc[[True, True]]
# 0 1
# 0 1.0 NaN
# 1 0.0 NaN
# Slicing is cool
df.loc[1:2]
# 0 1
# 1 0.0 0.0
Problem description
Index slice an all-zero sparse series by indexer (whether by bool array or index array) results in NaN. It should be the fill_value
of the series.
Expected Output
Output of pd.show_versions()
INSTALLED VERSIONS
------------------
commit : None
python : 3.8.1.final.0
python-bits : 64
OS : Linux
OS-release : 4.15.0-101-generic
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : en_US.UTF-8
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.0.3
numpy : 1.18.1
pytz : 2019.3
dateutil : 2.8.1
pip : 20.0.2
setuptools : 45.2.0
Cython : None
pytest : 5.3.5
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.1
IPython : 7.12.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : 3.2.0
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
pytest : 5.3.5
pyxlsb : None
s3fs : None
scipy : 1.4.1
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None
numba : None