如何使用python将excel文件的所有行和列组合到另一个excel文件的单个单元格中？

Question

I have an Excel 'sample1.xlsx' which has the following details:-

    0     1       2
0 Name  Address Phone No.
1  abc   22/2    0154235
2  xyz   12-3    9832033

I'm looking for an implementation to remove the header from the above excel file using pandas dataframe:-

   0     1       2
0 abc  22/2   0154235
1 xyz  12-3   9832033

Thereafter, combine all rows and columns to a single cell with a space in between the elements and write the output to another excel file:-

                  0
0 abc 22/2 0154235 xyz 12-3 9832033

Can anyone help me in the above implementation?

I had already implemented the below code for removing the header,

import pandas
excel_data_df = pandas.read_excel('sample.xlsx', sheet_name='Sheet1')
df = excel_data_df.iloc[3:]

Answer 1

Looks like you need not read the headers header=None and using df.stack() to stack the dataframe and transpose back:

pd.read_excel('file.xlsx',header=None,
    skiprows=[0]).stack().to_frame().reset_index(drop=True).T

Similarly using df.to_numpy() convert to np array and using np.flatten() we can create a dataframe and transpose:

pd.DataFrame(pd.read_excel('file.xlsx').to_numpy().flatten()).T

---

     0     1       2    3     4        5
0  abc  22/2  154235  xyz  12-3  9832033