BUG: index_col=False doesn't work for unequal length of data · Issue #46955 · pandas-dev/pandas (original) (raw)
Pandas version checks
- I have checked that this issue has not already been reported.
- I have confirmed this bug exists on the latest version of pandas.
- I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd from io import StringIO
TESTDATA = StringIO(""" 0.5 0.03 0.1 0.2 0.3 2 0.2 0.1 0.1 0.3 0.5 0.03 0.1 0.2 0.3 2 """)
df = pd.read_csv(TESTDATA, sep=' +', header=None, index_col=False, engine='python')
Issue Description
Current output
print(df)
0 1
0.5 0.03
0.1 0.20 0.3 2.0
0.2 0.10 0.1 0.3
0.5 0.03 NaN NaN
0.1 0.20 0.3 2.0
Expected Behavior
Expected output
0 1 2 3
0.5 0.03 NaN NaN
0.1 0.20 0.3 2.0
0.2 0.10 0.1 0.3
0.5 0.03 NaN NaN
0.1 0.20 0.3 2.0
Installed Versions
>>> pd.show_versions()
INSTALLED VERSIONS
------------------
commit : 4bfe3d07b4858144c219b9346329027024102ab6
python : 3.10.4.final.0
python-bits : 64
OS : Linux
OS-release : 5.17.5-arch1-1
Version : #1 SMP PREEMPT Wed, 27 Apr 2022 20:56:11 +0000
machine : x86_64
processor :
byteorder : little
LC_ALL : en_US.UTF-8
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.4.2
numpy : 1.21.5
pytz : 2021.3
dateutil : 2.8.2
pip : 21.0
setuptools : 59.5.0
Cython : None
pytest : 6.2.5
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.7.1
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.0.3
IPython : None
pandas_datareader: 0.10.0
bs4 : 4.10.0
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
markupsafe : 2.0.1
matplotlib : 3.5.1
numba : None
numexpr : None
odfpy : None
openpyxl : 3.0.9
pandas_gbq : None
pyarrow : 7.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.8.0
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None