Write strings/text and pandas dataframe to excel

Question

I'd like to save some text and a dataframe to an excel file like that:

Thus, I've got the following variables:

text1 = "some text here"
text2 = "other text here"
df = pd.DataFrame({"a": [1,2,3,4,5], "b": [6,7,8,9,10], "c": [11,12,13,14,15]})

As I've figured out there is the possibility to use the xlsxwriter to do this which means that I basically have to iterate over the whole dataframe to write each entry to a different cell in the excel workbook. This is quite cumbersome.

So, I thought there must an easier way to do this; something like this:

writer = pd.ExcelWriter("test.xlsx", engine="xlsxwriter")
writer.write(text1, startrow=0, startcol=0)
writer.write(text1, startrow=1, startcol=0)
df.to_excel(writer, startrow=4, startcol=0)

Is there an easier way?

Answer 1

You need write or write_string:

text1 = "some text here"
text2 = "other text here"
df = pd.DataFrame({"a": [1,2,3,4,5], "b": [6,7,8,9,10], "c": [11,12,13,14,15]})

writer = pd.ExcelWriter("test.xlsx", engine="xlsxwriter")
df.to_excel(writer, startrow=4, startcol=0)

worksheet = writer.sheets['Sheet1']
worksheet.write(0, 0, text1)
worksheet.write(1, 0, text2)
#another solution
#worksheet.write_string(0, 0, text1)
#worksheet.write_string(1, 0, text2)

writer.save()

Note: write and write_string are actually xlsxwriter package functions. To use them, the package must be installed and pd.ExcelWriter must be initialized with the xlsxwriter engine (in pandas 1.0.5 it defaults to the io.excel.<extension>.writer engine)