PYTHON

pandas read excel

import pandas as pd
pd.read_excel('tmp.xlsx', index_col=0)

pandas read_excel

df = pd.read_excel('reading_excel_file.xlsx', 
                   sheet_name='Purchase Orders 1',
                  usecols='A:B, H:I')

pandas read_excel

df = pd.read_excel("sales_excel.xlsx", 
                   sheet_name='Sheet1',
                  header=5)

pd.read_excel

df = pd.read_excel('reading_excel_file.xlsx', sheet_name='Purchase Orders 1')

pd.read_excel

import pandas as pd
pd.read_excel('tmp.xlsx', sheet_name='Sheet1')

pd.read_excel column data type

# Assuming data types for `a` and `b` columns to be altered
pd.read_excel('file_name.xlsx', dtype={'a': np.float64, 'b': np.int32})

pandas read_excel

df = pd.read_excel('reading_excel_file.xlsx', 
                   sheet_name='Purchase Orders 1',
                  skiprows=2)

pandas read_excel

df = pd.read_excel('reading_excel_file.xlsx', 
                   sheet_name='Purchase Orders 1',
                  skipfooter=3)

Pandas read excel

import pandas as pd

data = pd.read_excel (r'C:UsersRonDesktopProduct List.xlsx') 
df = pd.DataFrame(data, columns= ['Product'])
print (df)

pd.read_excel column data type

import pandas as pd

df = pd.read_excel('Book1.xlsx',sheetname='Sheet1',header=0,converters={'names':str,'ages':str})
>>> df
       names ages
   0   bob   05
   1   tom   4
   2   suzy  3

python pandas read_excel

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)

pandas read_excel

df = pd.read_excel('reading_excel_file.xlsx', 
                   sheet_name='Purchase Orders 1',
                  usecols='C:F')

pandas excelfile

>>> with ExcelWriter('path_to_file.xlsx') as writer:
...     df1.to_excel(writer, sheet_name='Sheet1')
...     df2.to_excel(writer, sheet_name='Sheet2')