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)
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