Missing Values In Pandas Column Multiindex

I am reading with pandas excel sheets like this one: using df = pd.read_excel('./question.xlsx', sheet_name = None, header = [0,1]) which results in multiindex dataframe with mul

Solution 1:

Assuming that you want to have empty strings instead of repeating the first label, you can read the 2 lines and build the MultiIndex directly:

df1 = pd.read_excel('./question.xlsx', header = None, nrows=2).fillna('')
index = pd.MultiIndex.from_arrays(df1.values)

it gives:

MultiIndex([('Title',        '#'),
            (     '',    'Price'),
            (     '', 'Quantity')],
           )

By the way, if you wanted a different label for empty fields, you can just use it as the parameter for fillna.

Then, you just read the remaining data, and set the index by hand:

df1 = pd.read_excel('./question.xlsx', header = None, skiprows=2)
df1.columns = index