Trying this example from the documentation
writer = ExcelWriter(\'output.xlsx\')
df1.to_excel(writer,\'Sheet1\')
df2.to_excel(writer,\'Sheet2\')
writer.save
As per their documentation, pandas depends
on openpyxl version 1.6.1 or higher, but lower than 2.0.0
The last openpyxl version lower than 2.0.0 being version 1.8.6, you should simply remove your current openpyxl version and run:
pip install openpyxl==1.8.6
if your using pip, or find an equivalent way to install this specific version.
An update to pandas should slove this.
pip install -U pandas
It works for pandas version 0.17+
If you don't care whether the headers have borders around them and bold font, and you don't want to restrict the version of openpyxl, the quickest way is to overwrite the header_style
dictionary to be None
.
If you also have dates or datetimes, you must also explicitly set the workbook's date
and datetime
formats to None
:
from datetime import datetime
import pandas as pd
pd.core.format.header_style = None # <--- Workaround for header formatting
dt = datetime.now()
d = datetime.date(datetime.now())
df1 = pd.DataFrame([{'c1': 'alpha', 'c2': 1}, {'c1': 'beta', 'c2': 2}])
df2 = pd.DataFrame([{'c1': dt, 'c2': d}, {'c1': dt, 'c2': d}])
with pd.ExcelWriter('output.xlsx') as writer:
writer.date_format = None # <--- Workaround for date formatting
writer.datetime_format = None # <--- this one for datetime
df1.to_excel(writer,'Sheet1')
df2.to_excel(writer,'Sheet2')
Not clear why the keyword arguments never make it through the openpyxl deprecation wrapper...but they don't. In addition if you're formatting any other cells use the new openpyxl api.
All of these problems go away if you have Anaconda, by the way.
For fast solution replace this
xcell.style = xcell.style.copy(**style_kwargs)
with
pass
At pandas/io/excel.py line 778.
openpyxl upgraded their api and pandas also need to be updated for support openpyxl.