Pandas - 将 pandas df 写入 excel 中的下一个空行

Question

I am currently looking for a solution. Is there a functionality that will look for the next empty row in excel and then paste a pandas df here. (note the pandas df has the same dimensions as the data in excel).

Thanks

Data in Excel

Employee No.	Name	Country
111111111	John	Spain
222222222	Mary	Italy

Pandas DF I want to write to the excel sheet

Employee No.	Name	Country
333333333	Michael	Ireland
444444444	George	South Africa

Final excel worksheet

Employee No.	Name	Country
111111111	John	Spain
222222222	Mary	Italy
333333333	Michael	Ireland
444444444	George	South Africa

please note I need to write the pandas DF to an excel sheet entitled "Sheet3"

Answer 1

This is tough without seeing your code. I think what Rafael M R de Rezende said is correct.

Say your excel file is like:

df2 = pd.DataFrame([[111, 'John', 'Spain'], [222, 'Mary', 'Italy']],
               columns=['Employee #', 'Names', 'Countries'])

The new df is:

df = pd.DataFrame([[333, 'Michael', 'Ireland'], [444, 'George', 'S. Africa']],
               columns=['Employee No.', 'Name', 'Country'])

checking the shape print(df.shape) or print(df2.shape) both results in (2,3).

Next: Use concat ...

df = pd.concat([df2, df])
print(df.shape)

and the shape becomes (4,6) because the columns names are not the same. If this is what your experiencing just change above like below you can copy the columns names over.

df2.columns = df.columns # copies column names over
df = pd.concat([df2, df])
print(df)

The results is:

   Employee No.     Name       Country
0       111         John         Spain
1       222         Mary         Italy
0       333      Michael       Ireland
1       444       George  South Africa

When saving, I recommend using df.to_csv(yourfile.csv, index=False) it is easier to work with, it is what I do. Referenceconcat and df.to_csv