Pandas柱header

Question

i have multiple excel files that contains similar information that i want to bring in as list into python with pandas. Every file contains a table that has the info that i want but this table in some files starts at row 5 or in other in row 10 or 23 and go on (because before this table there are some titles that change from one file to others) so this cannot be a constant BUT the headers of the table are the same, can i tell pandas "take all data under the row with "specific name""? or have i to tell every time the right index?

Thanks! Have a good work!

Edit: To make it more clear this is how pandas read my dataframe (based on excel file)

So as you can see in row 2 (in this example) there is the raw with "Draw, Back#,Horse,Rider...) and this is my "keyrow" so i want that my df starts under this row so i can use all below datas to make my folders but as i said this row is the same with all excels but in every excels is in different row.

Answer 1

Since the multiple Excel files have the same column headers, you could create a filter to "take all data under the row with "specific name"".

This can be done using df['col_name']=='specific name' which will return an array of True / False values.

filter = df['col_name']=='specific name'

After that, apply the filter (array of True / False values) to the dataframe, which will keep those values that are True only

df.loc[filter]

For example

df = pd.DataFrame({'col_name': ['nothing', 'specific name', 'specific name', 'blah', 'blah', 'blah'], 
              'col_2': ['blah blah', 'blah', 'blah blah', 'blah', 'blah', 'blah'] })

        col_name      col_2
0        nothing  blah blah
1  specific name       blah
2  specific name  blah blah
3           blah       blah
4           blah       blah
5           blah       blah

filter = df['col_name']=='specific name'
print(df.loc[filter])

        col_name      col_2
1  specific name       blah
2  specific name  blah blah

Answer 2

With the index, you can use the below code. If you have excel values with row 4 header and from row 5 the rest data

col_name = excel_df.iloc[3:4,:].values.tolist()

df = excel_df.iloc[ 4:,: ]

df.columns = sum(col_name, [])

df