.xlsb 格式是Binary格式存儲(chǔ)的excel文件，比普通的xlsx文件的體積要小很多，在數(shù)據(jù)量極大的場(chǎng)景比較多用。

目前有兩種方式讀取 .xlsb 格式的文件

Pandas

官方文檔：Binary Excel (.xlsb) files

The read_excel() method can also read binary Excel files using the pyxlsb module. The semantics and features for reading binary Excel files mostly match what can be done for Excel files using engine=‘pyxlsb’. pyxlsb does not recognize datetime types in files and will return floats instead.
Currently pandas only supports reading binary Excel files. Writing is not implemented.

import pandas as pd df_excel = pd.read_excel('test.xlsb', engine='pyxlsb',sheet_name='詳細(xì)數(shù)據(jù)')

但如果表中有合并的單元格，則在處理dataframe的時(shí)候會(huì)出錯(cuò)，可以用pyxlsb庫(kù)逐行讀取數(shù)據(jù)

pyxlsb

import pyxlsb as px import pandas as pdpath = "test.xlsb" list_row=[] list_accumulate= []# 逐行讀取 with px.open_workbook(path) as wb:sheets = wb.sheetsfor sheet in sheets:row_generator = wb.get_sheet(sheet).rows()for row in row_generator:for cell in row:list_row.append(cell.v)list_accumulate.append(list_row)list_row=[]df_excel = pd.DataFrame(list_accumulate)

參考來(lái)源：使用pyxlsb庫(kù)讀取xlsb格式excel文件，轉(zhuǎn)為DataFrame(詳細(xì))

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