将 Pandas DataFrame 转换为类似字节的对象 [英] Convert Pandas DataFrame to bytes-like object

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本文介绍了将 Pandas DataFrame 转换为类似字节的对象的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

您好,我正在尝试将我的 df 转换为二进制并将其存储在变量中.

Hi I am trying to convert my df to binary and store it in a variable.

我的_df:

 df = pd.DataFrame({'A':[1,2,3],'B':[4,5,6]})

我的代码:

 import io
 towrite = io.BytesIO()
 df.to_excel(towrite)  # write to BytesIO buffer
 towrite.seek(0)  # reset pointer
 

我收到 AttributeError: '_io.BytesIO' 对象没有属性 'write_cells'

完整追溯:

AttributeError                            Traceback (most recent call last)
<ipython-input-25-be6ee9d9ede6> in <module>()
      1 towrite = io.BytesIO()
----> 2 df.to_excel(towrite)  # write to BytesIO buffer
      3 towrite.seek(0)  # reset pointer
      4 encoded = base64.b64encode(towrite.read())  #

C:ProgramDataAnaconda3libsite-packagespandascoreframe.py in to_excel(self, excel_writer, sheet_name, na_rep, float_format, columns, header, index, index_label, startrow, startcol, engine, merge_cells, encoding, inf_rep, verbose, freeze_panes)
   1422         formatter.write(excel_writer, sheet_name=sheet_name, startrow=startrow,
   1423                         startcol=startcol, freeze_panes=freeze_panes,
-> 1424                         engine=engine)
   1425 
   1426     def to_stata(self, fname, convert_dates=None, write_index=True,

C:ProgramDataAnaconda3libsite-packagespandasioformatsexcel.py in write(self, writer, sheet_name, startrow, startcol, freeze_panes, engine)
    624 
    625         formatted_cells = self.get_formatted_cells()
--> 626         writer.write_cells(formatted_cells, sheet_name,
    627                            startrow=startrow, startcol=startcol,
    628                            freeze_panes=freeze_panes)

AttributeError: '_io.BytesIO' object has no attribute 'write_cells'

推荐答案

我通过将 pandas 升级到新版本解决了这个问题.

I solved the issue by upgrading pandas to newer version.

 import io
 towrite = io.BytesIO()
 df.to_excel(towrite)  # write to BytesIO buffer
 towrite.seek(0) 
 print(towrite)
 b''
 print(type(towrite))
 _io.BytesIO

如果您想查看类似字节的对象,请使用 getvalue,

if you want to see the bytes-like object use getvalue,

print(towrite.getvalue())
b'PKx03x04x14x00x00x00x08x00x00x00!x00<xb

这篇关于将 Pandas DataFrame 转换为类似字节的对象的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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