Merge the first row with the column headers in a dataframe

Question

I am trying to clean up a Excel file for some further research. Problem that I have, I want to merge the first and second row. The code which I have now:

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Answer 1

Fetch the all columns present in Second row header then First row header. combine them to make a "all columns name header" list. now create a df with excel by taking header as header[0,1]. now replace its headers with all column name headers you created previously.

import pandas as pd

#reading Second header row columns
df1 = pd.read_excel('nanonose.xls', header=[1] , index = False)
cols1 = df1.columns.tolist()
SecondRowColumns = []
for c in cols1:
    if ("Unnamed" or "NaN" not in c):
        SecondRowColumns.append(c)     

#reading First header row columns
df2 = pd.read_excel('nanonose.xls', header=[0] , index = False)
cols2 = df2.columns.tolist()
FirstRowColumns = []
for c in cols2:
    if ("Unnamed" or "Nanonose" not in c):
        FirstRowColumns.append(c)       

AllColumn = []
AllColumn = SecondRowColumns+ FirstRowColumns



df = pd.read_excel('nanonose.xls', header=[0,1] , index=False)
df.columns = AllColumn
print(df)