pandas read excel
import pandas as pd
pd.read_excel('tmp.xlsx’, sheet_name='Sheet1')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')Pandas read excel
import pandas as pd
data = pd.read_excel (r'C:UsersRonDesktopProduct List.xlsx')
df = pd.DataFrame(data, columns= ['Product'])
print (df)pandas excel python
import pandas as pd
# reading in from external file
movies = pd.read_excel('movies.xls')
# prints first five rows
movies.head(n=5)
# prints last five rows
movies.tail(n=5)
# for excel files w/ multiple sheets
movies_sheet1 = pd.read_excel(excel_file, sheetname=0)
movies_sheet2 = pd.read_excel(excel_file, sheetname=1)
movies_sheet2 = pd.read_excel(excel_file, sheetname='name of third sheet')
# sort by column
sorted_by_gross = movies.sort_values(['Gross Earnings'], ascending=False)
# exporting to file
movies.to_excel('output.xlsx')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
