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')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)python pandas read_excel
#You will need the package openpyxl to use the .read_excel function.
# pip install openpyxl
import pandas as pd
inFile = "Table.xlsx"
inSheetName = "Sheet1"
pd.read_excel(inFile, sheet_name = inSheetName)Copyright © 2021 Codeinu
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