Read XLS file with Pandas & xlrd returns error; xlrd opens file on its own

Or can someone help me take the sheet from xlrd and convert it into a Pandas dataframe?

pd.read_excel can take a book...

import xlrd

book = xlrd.open_workbook(filename='./file_check/file.xls')

df = pd.read_excel(book, skiprows=5)

print(df)

   some   column headers
0     1     some     foo
1     2  strings     bar
2     3     here     yes
3     4      too      no

I'll include the code below that may help if you want to check/handle Excel file types. Maybe you can adapt it for your needs.

The code loops through a local folder and shows the file and extension but then uses python-magic to drill into it. It also has a column showing guessing from mimetypes but that isn't as good. Do zoom into the image of the frame and see that some .xls are not what the extension says. Also a .txt is actually an Excel file.

import pandas as pd
import glob
import mimetypes
import os
# https://pypi.org/project/python-magic/
import magic

path = r'./file_check' # use your path
all_files = glob.glob(path + "/*.*")

data = []

for file in all_files:
    name, extension = os.path.splitext(file)
    data.append([file, extension, magic.from_file(file, mime=True), mimetypes.guess_type(file)[0]])

df = pd.DataFrame(data, columns=['Path', 'Extension', 'magic.from_file(file, mime=True)', 'mimetypes.guess_type'])

# del df['magic.from_file(file, mime=True)']

df

From there you could filter files based on their type:

xlsx_file_format = 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'

xls_file_format = 'application/vnd.ms-excel'

for file in all_files:
    if magic.from_file(file, mime=True) == xlsx_file_format:
        print('xlsx')
        #  DO SOMETHING SPECIAL WITH XLSX FILES
    elif magic.from_file(file, mime=True) == xls_file_format:
        print('xls')
        #  DO SOMETHING SPECIAL WITH XLS FILES
    else:
        continue

dfs = []

for file in all_files:
    if (magic.from_file(file, mime=True) == xlsx_file_format) or \
    (magic.from_file(file, mime=True) == xls_file_format):
        # who cares, it all works with this for the demo...
        df = pd.read_excel(file, skiprows=5, names=['some', 'column', 'headers'])
        dfs.append(df)
    
print('\nHow many frames did we get from seven files? ', len(dfs))

Output:

xlsx
xls
xls
xlsx

How many frames did we get from seven files?  4