Reputation: 306
I have collection of excel files containing similar datasets. I want it to be read by different Pandas dataframes.
import glob
import pandas as pd
path=r"C:users/me/desktop/ExcelData"
files=glob.glob('*.xls')
for f in files:
df[f]=pd.read_excel(f)
Upvotes: 0
Views: 2132
Reputation: 440
This reads multiple excel files into a directory into separate dataframes. The dataframes are named after the source excel file name.
upload_path = "../test_files/sample"
files = os.listdir(upload_path)
files_xls = [f for f in files if f[-3:] == 'xls']
for f in files_xls:
dataframe_name = f[:-4]
dataframe_name = pd.read_excel(os.path.join(upload_path,f), header=1)
Upvotes: 0
Reputation: 19
import pandas as pd
import os
import glob
path = r"C:users/me/desktop/ExcelData"
files = glob.glob(path + "\*.xls")
finalexcelsheet = pd.DataFrame()
for file in files:
df = pd.concat(pd.read_excel(file, sheet_name = None), ignore_index=True,
sort=False)
finalexcelsheet = finalexcelsheet.append(df, ignore_index = True)
print(finalexcelsheet)
Upvotes: 0
Reputation: 370
import glob
import pandas as pd
import os
path=r"C:\\users\\me\\desktop\\ExcelData\\"
csv_files = glob.glob(os.path.join(path, "*.xls"))
dfl=[]
for f in csv_files:
x= pd.read_excel(f)
dfl.append(x)
Upvotes: 2