How to check if .xls and .csv files are empty

I don't think Stackoverflow allows 2 question at the time but let me give you my answer for the Excel part

import xlrd
from pprint import pprint

wb = xlrd.open_workbook("temp.xlsx")

empty_sheets = [sheet for sheet in wb.sheets() if sheet.ncols == 0]
non_empty_sheets = [sheet for sheet in wb.sheets() if sheet.ncols > 0]

# printing names of empty sheets
pprint([sheet.name for sheet in empty_sheets])

# writing non empty sheets to database 
pass # write code yourself or ask another question 

About the header: let me give you a little hint, test for sheet.nrows == 1.

Question 1: How I check the entire .xls file are empty.

def readfile(fullpath):

    xls = xlrd.open_workbook(fullpath)

    is_empty = None

    for sheet in xls.sheets():
        number_of_rows = sheet.nrows

        if number_of_rows == 1:
            header = sheet.row_values(0)  
            # then If it contains only headers I want to treat as empty
            if header:
                is_empty = False
                break

        if number_of_rows > 1:
            is_empty = False
            break

        number_of_columns = sheet.ncols
        sheetname = sheet.name

    if is_empty:
        print('xlsx ist empty')

Question 2: How I check header of the file .If the file has only a header(I mean only a single row) I need to treat the file is empty .How can I do that.

import csv
with open('test/empty.csv', 'r') as csvfile:
    csv_dict = [row for row in csv.DictReader(csvfile)]
    if len(csv_dict) == 0:
        print('csv file is empty')

Tested with Python:3.4.2

This is simple in pandas with the .empty method. Do this

import pandas as pd

df = pd.read_csv(filename) # or pd.read_excel(filename) for xls file
df.empty # will return True if the dataframe is empty or False if not.

This will also return True for a file with only headers as in

>> df = pd.DataFrame(columns = ['A','B'])
>> df.empty
   True