问题

There are many questions on this, but there has been no simple answer on how to read an xlsb file into pandas. Is there an easy way to do this?

回答1:

Hi actually there is a way. Just use pyxlsb library.

import pandas as pd

from pyxlsb import open_workbook as open_xlsb

df = []

with open_xlsb('some.xlsb') as wb:

with wb.get_sheet(1) as sheet:

for row in sheet.rows():

df.append([item.v for item in row])

df = pd.DataFrame(df[1:], columns=df[0])

回答2:

Pyxlsb indeed is an option to read xlsb file, however, is rather limited.

I suggest using the xlwings package which makes it possible to read and write xlsb files without losing sheet formating, formulas, etc. in the xlsb file. There is extensive documentation available.

import pandas as pd

import xlwings as xw

app = xw.App()

book = xw.Book('file.xlsb')

sheet = book.sheets('sheet_name')

df = sheet.range('A1').options(pd.DataFrame, expand='table').value

book.close()

app.kill()

'A1' in this case is the starting position of the excel table.

To write to xlsb file, simply write:

sheet.range('A1').value = df

回答3:

If you want to read a big binary file or any excel file with some ranges you can directly put at this code

range = (your_index_number)

first_dataframe = []

second_dataframe = []

with open_xlsb('Test.xlsb') as wb:

with wb.get_sheet('Sheet1') as sheet:

i=0

for row in sheet.rows():

if(i!=range):

first_dataframe.append([item.v for item in row])

i=i+1

else:

second_dataframe.append([item.v for item in row])

first_dataframe = pd.DataFrame(first_dataframe[1:], columns=first[0])

second_dataframe = pd.DataFrame(second_dataframe[:], columns=first.columns)

来源：https://stackoverflow.com/questions/45019778/read-xlsb-file-in-pandas-python