DataFrame.to_latex() outputs empty cells if MultiIndex names are empty strings · Issue #18669 · pandas-dev/pandas (original) (raw)

Code Sample, a copy-pastable example if possible

In [2]: mi = pd.MultiIndex.from_product([[1, 2], [3,4]])

In [3]: df = pd.DataFrame(-1, index=mi, columns=range(4))

In [4]: df.index.names = ['', '']

In [5]: print(df.to_latex()) \begin{tabular}{llrrrr} \toprule & & 0 & 1 & 2 & 3 \ \midrule 1 & 3 & & & & \ & 4 & -1 & -1 & -1 & -1 \ 2 & 3 & -1 & -1 & -1 & -1 \ & 4 & -1 & -1 & -1 & -1 \ \bottomrule \end{tabular}

Problem description

df contains 4 rows; however the output of df.to_latex() only contains 3 rows of -1.

Expected Output

\begin{tabular}{llrrrr} \toprule & & 0 & 1 & 2 & 3 \ \midrule 1 & 3 & -1 & -1 & -1 & -1 \ & 4 & -1 & -1 & -1 & -1 \ 2 & 3 & -1 & -1 & -1 & -1 \ & 4 & -1 & -1 & -1 & -1 \ \bottomrule \end{tabular}

Output of pd.show_versions()

In [7]: pd.show_versions()

INSTALLED VERSIONS

commit: fdba133
python: 3.5.3.final.0
python-bits: 64
OS: Linux
OS-release: 4.9.0-4-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: it_IT.UTF-8
LOCALE: it_IT.UTF-8

pandas: 0.22.0.dev0+301.gfdba13333
pytest: 3.2.3
pip: 9.0.1
setuptools: 36.7.0
Cython: 0.25.2
numpy: 1.12.1
scipy: 0.19.0
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: 1.5.6
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.2
blosc: None
bottleneck: 1.2.0dev
tables: 3.3.0
numexpr: 2.6.1
feather: 0.3.1
matplotlib: 2.0.0
openpyxl: 2.3.0
xlrd: 1.0.0
xlwt: 1.3.0
xlsxwriter: 0.9.6
lxml: 4.1.1
bs4: 4.5.3
html5lib: 0.999999999
sqlalchemy: 1.0.15
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: 0.2.1