I have a file like so that I am reading from excel:
Year Month Day
1 2 1
2 1 2
I want to specify the column width that excel recognizes. I would like to do it in pandas but I don't see a option. I have tried to do it with the module StyleFrame
.
This is my code:
from StyleFrame import StyleFrame
import pandas as pd
df=pd.read_excel(r'P:\File.xlsx')
excel_writer = StyleFrame.ExcelWriter(r'P:\File.xlsx')
sf=StyleFrame(df)
sf=sf.set_column_width(columns=['Year', 'Month'], width=4.0)
sf=sf.set_column_width(columns=['Day'], width=6.00)
sf=sf.to_excel(excel_writer=excel_writer)
excel_writer.save()
but the formatting isn't saved when I open the new file.
Is there a way to do it in pandas? I would even take a pure python solution to this, pretty much anything that works.
As for your question on how to remove the headers, you can simply pass header=False
to to_excel
:
sf.to_excel(excel_writer=excel_writer, header=False)
.
Note that this will still result with the first line of the table being bold. If you don't want that behavior you can update to 0.1.6 that I just released.