Description
Code Sample, a copy-pastable example if possible
import pandas as pd
import numpy as np
df = pd.DataFrame(np.zeros((2, 2), dtype=int))
df.index.name = 'index.name'
df.to_html(header=False)| 0 | 0 | 0 |
|---|---|---|
| 1 | 0 | 0 |
import pandas as pd
import numpy as np
df = pd.DataFrame(np.zeros((2, 2), dtype=int))
df.index = pd.MultiIndex.from_product([['a'], ['b', 'c']], names=[
'index.name.0', 'index.name.1'])
df.to_html(header=False)| a | b | 0 | 0 |
|---|---|---|---|
| c | 0 | 0 |
Problem description
to_html(header=False) is not displaying the (row) Index names. The header parameter should be analogous to the index parameter and hide the columns Index only and leave the (row) Index names displayed.
to hide the display of the row Index names, the index_names=False parameter should be used.
the problem is due to an early return in the composition of the HTML header. the to_html parameter header should not be confused with the HTML header.
pandas/pandas/io/formats/html.py
Lines 196 to 201 in deb7b4d
Expected Output
| index.name | ||
|---|---|---|
| 0 | 0 | 0 |
| 1 | 0 | 0 |
| index.name.0 | index.name.1 | ||
|---|---|---|---|
| a | b | 0 | 0 |
| c | 0 | 0 |
Output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 58 Stepping 9, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.23.0
pytest: 3.5.1
pip: 10.0.1
setuptools: 39.1.0
Cython: 0.28.2
numpy: 1.14.3
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: 1.7.4
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.4
blosc: None
bottleneck: 1.2.1
tables: 3.4.3
numexpr: 2.6.5
feather: None
matplotlib: 2.2.2
openpyxl: 2.5.3
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.4
lxml: 4.2.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.7
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
cc @WillAyd