Pandas excel output specify column names to write is broken in 1.0.0

[mikemc3]

Example code:

df = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),columns=['col_a', 'col_b', 'col_c'])
excelwritename = '/tmp/Test%s.xlsx' %pd.datetime.now(pytz.timezone('US/Pacific')).strftime('%b%d_%I_%M %p')
with pd.ExcelWriter(excelwritename, engine='xlsxwriter',datetime_format='mmm dd yyyy hh:mm AM/PM') as writer:
df.to_excel(writer,columns=['col_a','col_b'],sheet_name = 'xyz')

Problem description:

specifying column names to output to excel is no longer working in pandas 1.0.0 and it outputs all columns in the df.
Checked different versions of xlsxwriter, but pandas 0.25.3 works fine, while 1.0.0 does not.

Expected Output

It should only output columns that are specified, but it outputs all columns of df

Output of pd.show_versions()

[paste the output of pd.show_versions() here below this line]
INSTALLED VERSIONS

commit : None
python : 3.7.4.final.0
python-bits : 64
OS : Darwin
OS-release : 19.2.0
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 1.0.0
numpy : 1.18.1
pytz : 2019.3
dateutil : 2.8.1
pip : 20.0.2
setuptools : 45.1.0.post20200127
Cython : 0.29.14
pytest : 5.3.4
hypothesis : 4.54.2
sphinx : 2.3.1
blosc : None
feather : None
xlsxwriter : 1.2.0
lxml.etree : 4.4.2
html5lib : 1.0.1
pymysql : None
psycopg2 : 2.8.4 (dt dec pq3 ext lo64)
jinja2 : 2.10.3
IPython : 7.11.1
pandas_datareader: None
bs4 : 4.8.2
bottleneck : 1.3.1
fastparquet : None
gcsfs : None
lxml.etree : 4.4.2
matplotlib : 3.1.1
numexpr : 2.7.0
odfpy : None
openpyxl : 3.0.3
pandas_gbq : None
pyarrow : None
pytables : None
pytest : 5.3.4
pyxlsb : None
s3fs : None
scipy : 1.3.1
sqlalchemy : 1.3.13
tables : 3.6.1
tabulate : None
xarray : None
xlrd : 1.2.0
xlwt : 1.3.0
xlsxwriter : 1.2.0
numba : 0.48.0

[alimcmaster1]

I see the same on master - taking a look. Will follow up with a PR

cc. @WillAyd

@jbrockmendel is it possible: https://github.com/pandas-dev/pandas/pull/29802/files#diff-428f806ef78207a489c7a688d591fc49L405 is the cause? Surprised we don't have a test for this!

[jbrockmendel]

is it possible: https://github.com/pandas-dev/pandas/pull/29802/files#diff-428f806ef78207a489c7a688d591fc49L405 is the cause? Surprised we don't have a test for this!

That seems totally plausible. does reintroducing the reindex fix this?