I'm attempting to create a script to process several Excel sheets at once and one of the steps i'm trying to get Python to handle is to create a table using data passed from a pandas data frame. Creating a table seems pretty straightforward looking at the documentation.
Following the example from here:
# define a table style
mediumstyle = TableStyleInfo(name='TableStyleMedium2', showRowStripes=True)
# create a table
table = Table(displayName='IdlingReport', ref='A1:C35', tableStyleInfo=mediumstyle)
# add the table to the worksheet
sheet2.add_table(table)
# Saving the report
wb.save(openexcel.filename)
print('Report Saved')
However this creates an empty table, instead of using the data present in cells 'A1:C35'. I can't seem to find any examples anywhere that go beyond these steps so any help with what I may be doing wrong is greatly appreciated.
The data in 'A1:C35' is being written to Excel as follows:
while i < len(self.sheets):
with pd.ExcelWriter(filename, engine='openpyxl') as writer:
writer.book = excelbook
writer.sheets = dict((ws.title, ws) for ws in excelbook.worksheets)
self.df_7.to_excel(writer, self.sheets[i], index=False, header=True, startcol=0, startrow=0)
writer.save()
i += 1
The output looks something like this
Time Location Duration
1/01/2019 [-120085722,-254580042] 5 Min
1/02/2019 [-120085722,-254580042] 15 Min
1/02/2019 [-120085722,-254580042] 7 Min
Just to clarify right now I am first writing my data frame to Excel and then after formatting the data I've written as a table. Reversing these steps by creating the table first and then writing to Excel fills the table, but gets rid of the formatting(font color, font type, size, etc). Which means I'd have to add an additional step to fix the formatting(which i'd like to avoid if possible).