import sys
import csv
import glob
import pandas as pd
# get data file names
path =r'C:\DRO\DCL_rawdata_files\excelfiles'
filenames = glob.glob(path + "/*.xlsx")
dfs = []
for df in dfs:
xl_file = pd.ExcelFile(filenames)
df=xl_file.parse('Sheet1')
dfs.concat(df, ignore_index=True)import pandas as pd
import glob
# your path to folder containing excel files
datapath = "\\Users\\path\\to\\your\\file\\"
# set all .xls files in your folder to list
allfiles = glob.glob(datapath + "*.xls")
# for loop to aquire all excel files in folder
for excelfiles in allfiles:
raw_excel = pd.read_excel(excelfiles)
# place dataframe into list
list1 = [raw_excel]
import os
import pandas as pd
import openpyxl as excel
import glob
#setting up path
path = 'data_inputs'
extension = 'xlsx'
os.chdir(path)
files = [i for i in glob.glob('*.{}'.format(extension))]
#Grouping files - brings multiple files of same type together in a list
wild_groups = ([s for s in files if "wild" in s])
domestic_groups = ([s for s in files if "domestic" in s])
#Sets up a dictionary associated with the file groupings to be called in another module
file_names = {"WILD":wild_groups, "DOMESTIC":domestic_groups}
...