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KeyError when calling to_coo() on SparseDataFrame #18414

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ediphy-azorab opened this issue Nov 21, 2017 · 5 comments · Fixed by #38567
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KeyError when calling to_coo() on SparseDataFrame #18414

ediphy-azorab opened this issue Nov 21, 2017 · 5 comments · Fixed by #38567
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@khalludi
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Bug good first issue Sparse Sparse Data Type
Milestone
1.3

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@ediphy-azorab
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ediphy-azorab commented Nov 21, 2017 •
edited by TomAugspurger
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Code Sample, a copy-pastable example if possible

In [45]: t_df = idx = pd.Int64Index([2,3,4])
    ...: t_df = pd.DataFrame(data=0, columns=idx, index=idx)
    ...: t_df.apply(pd.SparseArray).sparse.to_coo() # This line blows up in find_common_types

Problem description

Currently, a KeyError is raised while trying to get the first column type (cast.py#1070).

Expected Output

A (very) sparse matrix

Output of pd.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.6.3.final.0 python-bits: 64 OS: Linux OS-release: 4.10.0-38-generic machine: x86_64 processor: byteorder: little LC_ALL: None LANG: C.UTF-8 LOCALE: en_US.UTF-8

pandas: 0.21.0
pytest: None
pip: 10.0.0.subpip_fix
setuptools: 36.5.0
Cython: None
numpy: 1.13.3
scipy: 1.0.0
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: None
patsy: None
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 2.1.0
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: 4.1.0
bs4: 4.6.0
html5lib: 1.0b10
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: 0.5.0
@mukherjees
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Same issue exists with Pandas 0.22.0 and Python 3.6.4.

@h4ste
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h4ste commented Jul 23, 2018 •
edited
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Exists with Pandas 0.23.3 and Python 3.6.6

INSTALLED VERSIONS

commit: None
python: 3.6.6.final.0
python-bits: 64
OS: Linux
OS-release: 4.4.0-128-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.23.3
pytest: None
pip: 10.0.1
setuptools: 39.1.0
Cython: None
numpy: 1.14.5
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: None
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.5
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 2.2.2
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: 1.0.1
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

@jbrockmendel jbrockmendel added the Sparse Sparse Data Type label Jul 30, 2018
@jorisvandenbossche jorisvandenbossche added this to the 0.25.0 milestone May 29, 2019
@jorisvandenbossche
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We should be using positional indexing here (so types.iloc[0] instead of types[0])

@jorisvandenbossche jorisvandenbossche modified the milestones: 0.25.0, Contributions Welcome May 29, 2019
@TomAugspurger TomAugspurger mentioned this issue Sep 16, 2019
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@TomAugspurger
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Still applies to DataFrame[sparse]. Updated the original post.

@khalludi
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khalludi commented Feb 7, 2020

take

khalludi added a commit to khalludi/pandas that referenced this issue Feb 7, 2020
@khalludi
BUG: Fixes index bug in cast.py for issue pandas-dev#18414
4a3e915
@SpectrumWings SpectrumWings mentioned this issue Mar 7, 2020
Closed
3 tasks
@mzeitlin11 mzeitlin11 mentioned this issue Dec 18, 2020
Merged
5 tasks
@jreback jreback modified the milestones: Contributions Welcome, 1.3 Dec 22, 2020
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Bug good first issue Sparse Sparse Data Type
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Milestone
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BUG: .sparse.to_coo() with numeric col index without a 0 mzeitlin11/pandas
8 participants
@jreback @jorisvandenbossche @TomAugspurger @h4ste @khalludi @mukherjees @jbrockmendel @ediphy-azorab