export pandas dataframe as excel
df.to_excel(r'C:UsersRonDesktopFile_Name.xlsx', index = False)
#if you omit the file path (must also omit 'r') and
#enter only file_name.xlsx, it will save to your default file location,
# that is, where the file you're reading from is located.pandas read excel
import pandas as pd
pd.read_excel('tmp.xlsx’, sheet_name='Sheet1')read excel into dataframe python
import pandas as pd
sheet1, sheet2 = None, None
with pd.ExcelFile("PATHFileName.xlsx") as reader:
sheet1 = pd.read_excel(reader, sheet_name='Sheet1')
sheet2 = pd.read_excel(reader, sheet_name='Sheet2')read excel file using pandas in python
import sqlite3
import pandas as pd
from sqlalchemy import create_engine
# Read Excel file or sheets using pandas
# Setup code :)
file = "location of Excel file..."
engine = create_engine('sqlite://', echo=False)
df = pd.read_excel(file, sheet_name=sheetname)
df.to_sql("test", engine, if_exists="replace", index=False)
results = engine.execute("Select * from test")
final = pd.DataFrame(results, columns=df.columns)Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
