convert simlpe dataframe to multi index column-CodePudding

I have a data-frame of stock features and price, with 26 columns in name df_prc_RI3.( like image) enter image description here

I want to convert it to multi index columns with level[ stack name].

    col = pd.MultiIndex.from_product([ ['stack  name'],df_prc_RI3.columns])

    ddf = pd.DataFrame(df_prc_RI3, columns=col)

But my problem is that… values of rows disappear … and they convert to Nan, after converting, like photo !!!. enter image description here

CodePudding user response：

Use:

df_prc_RI3.columns = pd.MultiIndex.from_product([ ['stack  name'],df_prc_RI3.columns])
print (df_prc_RI3)