【问题标题】:TypeError: NAN/INF not supported in write_number() without 'nan_inf_to_errors' Workbook() optionTypeError:没有'nan_inf_to_errors' Workbook() 选项的 write_number() 不支持 NAN/INF
【发布时间】:2021-03-24 11:23:58
【问题描述】:

我想将尺寸为 (3960, 225) 的 X (ndarray) 保存在 excel 文件 (.xlsx) 中。在 X 中,我有一些缺失值 (nan)。我为它做了一个代码。但是,我得到了错误。

代码如下:

workbook = xlsxwriter.Workbook('arrays.xlsx')
    worksheet = workbook.add_worksheet()
    row = 0
    for col, data in enumerate(X):
        worksheet.write_column(row, col, data)
    workbook.close()
     df = pd.DataFrame(X)
## save to xlsx file
     filepath = 'my_excel_file.xlsx'
      df.to_excel(filepath, index=False)

这是回溯:

Traceback (most recent call last):
  File "C:\Program Files\JetBrains\PyCharm 2020.2.1\plugins\python\helpers\pydev\pydevd.py", line 1448, in _exec
    pydev_imports.execfile(file, globals, locals)  # execute the script
  File "C:\Program Files\JetBrains\PyCharm 2020.2.1\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "C:/Users/Nafees Ahmed/PycharmProjects/Extra_Sensory_Experimetns/main.py", line 475, in <module>
    worksheet.write_column(row, col, data)
  File "C:\Users\Nafees Ahmed\AppData\Local\Programs\Python\Python38\lib\site-packages\xlsxwriter\worksheet.py", line 69, in cell_wrapper
    return method(self, *args, **kwargs)
  File "C:\Users\Nafees Ahmed\AppData\Local\Programs\Python\Python38\lib\site-packages\xlsxwriter\worksheet.py", line 1164, in write_column
    error = self._write(row, col, token, cell_format)
  File "C:\Users\Nafees Ahmed\AppData\Local\Programs\Python\Python38\lib\site-packages\xlsxwriter\worksheet.py", line 481, in _write
    return self._write_number(row, col, *args)
  File "C:\Users\Nafees Ahmed\AppData\Local\Programs\Python\Python38\lib\site-packages\xlsxwriter\worksheet.py", line 589, in _write_number
    raise TypeError(
TypeError: NAN/INF not supported in write_number() without 'nan_inf_to_errors' Workbook() option
 

也许是因为 nan(缺失)值。有没有简单的方法来处理这个错误?

【问题讨论】:

    标签: python nan missing-data


    【解决方案1】:

    用零填充NaN 值,并不能解决问题,如果你想将NaN 值保持为NaN,你应该跳过这样的填充值:

    row = 0
    for col, data in enumerate(X):
        try:
            worksheet.write_column(row, col, data)
        except:
            pass
    

    【讨论】:

    • 我正在标记您的答案,这将使您的个人资料覆盖,您将能够在此平台上提出更多问题。请标记我的问题并回答。
    【解决方案2】:

    你可以使用pandas的@​​987654321@方法。

    df.fillna(0) 会将所有NaN 替换为0.0

    【讨论】:

      【解决方案3】:

      我使用以下代码填写了非:

      X[np.isnan(X)] = 0.;
      

      【讨论】:

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