import pandas as pd
pd.read_excel('tmp.xlsx', index_col=0)
df = pd.read_excel('reading_excel_file.xlsx',
sheet_name='Purchase Orders 1',
usecols='A:B, H:I')
df = pd.read_excel("sales_excel.xlsx",
sheet_name='Sheet1',
header=5)
df = pd.read_excel('reading_excel_file.xlsx',
sheet_name='Purchase Orders 1',
skiprows=2)
df = pd.read_excel('reading_excel_file.xlsx',
sheet_name='Purchase Orders 1',
skipfooter=3)
import pandas as pd
data = pd.read_excel (r'C:UsersRonDesktopProduct List.xlsx')
df = pd.DataFrame(data, columns= ['Product'])
print (df)
import pandas as pd
inFile = "Table.xlsx" # Excel name file
inSheetName = "Sheet1" # Excel name sheet
rows2skip = 1
pd.read_excel(inFile, sheet_name = inSheetName, rows2skip = 1)
df = pd.read_excel('reading_excel_file.xlsx',
sheet_name='Purchase Orders 1',
usecols='C:F')
>>> with ExcelWriter('path_to_file.xlsx') as writer:
... df1.to_excel(writer, sheet_name='Sheet1')
... df2.to_excel(writer, sheet_name='Sheet2')