Description
Code Sample, a copy-pastable example if possible
import pandas as pd
# AttributeError: 'IntBlock' object has no attribute 'sp_index'
s = pd.SparseSeries([1, 2])
print(s.where(s >= 2, 0))
# AttributeError: 'FloatBlock' object has no attribute 'sp_index'
df = pd.SparseDataFrame([[1, 2], [3, 4]])
print(df.quantile())Problem description
On the surface, SparseSeries and SparseDataFrame should produce the same results as Series and DataFrame, respectively.
Expected Output
0 0
1 2
dtype: int64
0 2.0
1 3.0
Name: 0.5, dtype: float64
Output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.1.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 94 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: en
LOCALE: None.None
pandas: 0.20.1
pytest: 3.0.7
pip: 9.0.1
setuptools: 36.0.1
Cython: 0.25.2
numpy: 1.12.1
scipy: 0.19.0
xarray: None
IPython: 5.3.0
sphinx: 1.6.3
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.2
blosc: None
bottleneck: 1.2.1
tables: 3.2.2
numexpr: 2.6.2
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
pandas_gbq: None
pandas_datareader: None