防止熊猫read_Excel / read_CSV自动分配（即推断）索引

Question

Total newbie and this is my first ever question so apologies in advance for any inadvertent faux pas.

I have a large(ish) dataset in Excel xlsx format that I would like to import into a pandas dataframe. The data has column headers except for the first column which does not have a header label. Here is what the excel sheet looks like:

Raw data

I am using read_excel() in Pandas to read in the data. The code I am using is: df = pd.read_excel('Raw_Data.xlsx', sheetname=0, labels=None, header=0, index_col=None)

(I have tried index_col = false or 0 but, for obvious reasons, it doesn't change anything)

The headers for the columns are picked up fine but the first column, circled in red in the image below, is assigned as the index.

wrong index

What I am trying to get from the read_excel command is as follows with the index circled in red:

correct index

I have other excel sheets that I have used read_excel() to import into pandas and pandas automatically adds in a numerical incremental index rather than inferring one of the columns as an index.

None of those excel sheets had missing label in the column header though which might be the issue here though I am not sure.

I understand that I can use the reset_index() command after the import to get the correct index.

Wondering if it can be done without having to do the reset_index() and within the read_excel() command. ie is there anyway to prevent an index being inferred or to force pandas to add in the index column like it normally does.

Thank you in advance!

Answer 1

I don't think you can do it with only the read_excel function because of the missing value in cell A1. If you want to insert something into that cell prior to reading the file with pandas, you could consider using openpyxl as below.

from openpyxl import load_workbook as load

path = 'Raw_Data.xlsx'
col_name = 'not_index'
cell = 'A1'

def write_to_cell(path, col_name, cell):

    wb = load(path)

    for sheet in wb.sheetnames:
        ws = wb[sheet]
        if ws[cell].value is None:
            ws[cell] = col_name

    wb.save(path)