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importpandasaspddf=pd.DataFrame([[1, 2], [3, 4]], columns=['a', 'b'], index=pd.RangeIndex(2, name='Idx'))
# When the index has a name you get an extra header row for itprint(df.to_latex())
# \begin{tabular}{lrr}# \toprule# {} & a & b \\# Idx & & \\# \midrule# 0 & 1 & 2 \\# 1 & 3 & 4 \\# \bottomrule# \end{tabular}# However, when you do not want the index you still get the extra header rowprint(df.to_latex(index=False))
# \begin{tabular}{rr}# \toprule# a & b \\# & \\# \midrule# 1 & 2 \\# 3 & 4 \\# \bottomrule# \end{tabular}# What I would expect is the same as if there was no index nameprint(df.reset_index(drop=True).to_latex(index=False))
# \begin{tabular}{rr}# \toprule# a & b \\# \midrule# 1 & 2 \\# 3 & 4 \\# \bottomrule# \end{tabular}
Problem description
As shown above, producing LaTeX tables with indices that have a name produces an extra row in the header even when index=False. As I see it, this is not correct, since you just get an empty extra header line, and the behavior should be the same as if the data frame did not have an index with a name.
Code Sample, a copy-pastable example if possible
Problem description
As shown above, producing LaTeX tables with indices that have a name produces an extra row in the header even when
index=False
. As I see it, this is not correct, since you just get an empty extra header line, and the behavior should be the same as if the data frame did not have an index with a name.Expected Output
Output of
pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.7.1.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.24.2
pytest: 4.0.2
pip: 18.1
setuptools: 40.6.3
Cython: 0.29.2
numpy: 1.15.4
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 7.2.0
sphinx: 1.8.2
patsy: 0.5.1
dateutil: 2.7.5
pytz: 2018.7
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.8
feather: None
matplotlib: 3.0.2
openpyxl: 2.5.12
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.2
lxml.etree: 4.2.5
bs4: 4.6.3
html5lib: 1.0.1
sqlalchemy: 1.2.15
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None
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