Scal wiele arkuszy Excel w pojedynczej ramce danych
df = pd.concat(pd.read_excel(workbook_url, sheet_name=None), ignore_index=True)
Desert Trap
df = pd.concat(pd.read_excel(workbook_url, sheet_name=None), ignore_index=True)import glob
all_data = pd.DataFrame()
path = 'd:/projects/chassis/data/*.xlsx'
for f in glob.glob(path):
df = pd.read_excel(f, sheet_name=None, ignore_index=True, skiprows=6, usecols=8)
cdf = pd.concat(df.values())
all_data = all_data.append(cdf,ignore_index=True)
print(all_data)import os
import pandas as pd
cwd = os.path.abspath('')
files = os.listdir(cwd)
df = pd.DataFrame()
for file in files:
if file.endswith('.xlsx'):
df = df.append(pd.read_excel(file), ignore_index=True)
df.head()
df.to_excel('total_sales.xlsx')