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import pandas data = ([1, 2, 3], [4, 5, 6], [7, 8, 9]) pandas.DataFrame(data) # the whole process crashes
the whole python process crashes when pandas.DataFrame() is called with a tuple for the data argument.
1 2 3 0 1 2 3 1 4 5 6 2 7 8 9
pd.show_versions()
pandas: 0.24.2 pytest: 4.5.0 pip: 19.1.1 setuptools: 41.0.1 Cython: 0.29.8 numpy: 1.16.4 scipy: 1.2.1 pyarrow: None xarray: None IPython: 7.5.0 sphinx: 2.0.1 patsy: 0.5.1 dateutil: 2.8.0 pytz: 2019.1 blosc: None bottleneck: 1.2.1 tables: 3.5.1 numexpr: 2.6.9 feather: None matplotlib: 3.1.0 openpyxl: 2.6.2 xlrd: 1.2.0 xlwt: 1.3.0 xlsxwriter: 1.1.8 lxml.etree: 4.3.3 bs4: 4.7.1 html5lib: 1.0.1 sqlalchemy: 1.3.3 pymysql: 0.9.3 psycopg2: None jinja2: 2.10.1 s3fs: None fastparquet: None pandas_gbq: None pandas_datareader: None gcsfs: None
</details>
The text was updated successfully, but these errors were encountered:
@arian-f Thanks for the report. This was recently fixed, xref #25691 and #26440.
if you try on master you should get the expected result.
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MWE
Problem description
the whole python process crashes when pandas.DataFrame() is called with a tuple for the data argument.
Expected Output
Output of
pd.show_versions()
pandas: 0.24.2
pytest: 4.5.0
pip: 19.1.1
setuptools: 41.0.1
Cython: 0.29.8
numpy: 1.16.4
scipy: 1.2.1
pyarrow: None
xarray: None
IPython: 7.5.0
sphinx: 2.0.1
patsy: 0.5.1
dateutil: 2.8.0
pytz: 2019.1
blosc: None
bottleneck: 1.2.1
tables: 3.5.1
numexpr: 2.6.9
feather: None
matplotlib: 3.1.0
openpyxl: 2.6.2
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.8
lxml.etree: 4.3.3
bs4: 4.7.1
html5lib: 1.0.1
sqlalchemy: 1.3.3
pymysql: 0.9.3
psycopg2: None
jinja2: 2.10.1
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None
The text was updated successfully, but these errors were encountered: