將 dataframe 導出/導入為 Excel 表

Question

我有一個來自 pandas 文檔站點的示例，但無法運行。 導出為 excel 文件效果很好，但以下導入不行：

import numpy as np
import pandas as pd

df = pd.DataFrame(np.random.randn(1000, 4), columns=list("ABCD")) 
df = df.cumsum()     

df.to_excel("/tmp/foo.xlsx", sheet_name="Sheet1") 

print("Reading data back from an excel file")
df2=pd.read_excel("/tmp/foo.xlsx", "Sheet1", index_col=None, na_values=["NA"])
#print(df2)

我的錯誤信息：

python3 /tmp/downloads/tmp_358/main.py
Reading data back from an excel file
Traceback (most recent call last):
  File "/tmp/downloads/tmp_358/main.py", line 10, in <module>
    df2=pd.read_excel("/tmp/foo.xlsx", "Sheet1", index_col=None, na_values=["NA"])
  File "/usr/local/lib/python3.6/dist-packages/pandas/util/_decorators.py", line 296, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.6/dist-packages/pandas/io/excel/_base.py", line 304, in read_excel
    io = ExcelFile(io, engine=engine)
  File "/usr/local/lib/python3.6/dist-packages/pandas/io/excel/_base.py", line 867, in __init__
    self._reader = self._engines[engine](self._io)
  File "/usr/local/lib/python3.6/dist-packages/pandas/io/excel/_xlrd.py", line 22, in __init__
    super().__init__(filepath_or_buffer)
  File "/usr/local/lib/python3.6/dist-packages/pandas/io/excel/_base.py", line 353, in __init__
    self.book = self.load_workbook(filepath_or_buffer)
  File "/usr/local/lib/python3.6/dist-packages/pandas/io/excel/_xlrd.py", line 37, in load_workbook
    return open_workbook(filepath_or_buffer)
  File "/usr/local/lib/python3.6/dist-packages/xlrd/__init__.py", line 170, in open_workbook
    raise XLRDError(FILE_FORMAT_DESCRIPTIONS[file_format]+'; not supported')
xlrd.biffh.XLRDError: Excel xlsx file; not supported

Python 3.6.9 和 pandas==1.1.4 在 Ubuntu 18.04

Answer 1

你可以試試這個：

df.to_excel("/tmp/foo.xlsx", sheet_name="Sheet1", engine='openpyxl')
df2=pd.read_excel("/tmp/foo.xlsx", "Sheet1", index_col=None, na_values=["NA"], engine='openpyxl')