代码可以在 Anaconda 上运行，但不能通过 cmd 在 Python 上运行

Question

我的代码运行超过 7000 列数据集和大约 25 万条记录

当我使用 Anaconda Spyder 时效果很好

但现在我想根据任务计划运行这段代码

因此我想将 cmd 命令提示符中的代码执行为

Python "c:\myfolder\predservice.py"

它没有作为任务计划工作

我通过在 cmd 中运行 Python 上的脚本来开始跟踪问题

我得到了这个错误，我在运行 Spyder 时没有得到这个错误

如何避免此类错误

我以为是因为记忆。当我选择数据集的一个子集时，它运行良好，但是当我运行整个数据集时，我得到了这个错误

>>> df =pd.concat([df.drop('PreviousDRGs', 1), pd.get_dummies(df['PreviousDRGs'] .str.split(",", expand=True), prefix
 = 'PreviousDRGs').max(level=0, axis=1).asty pe(np.int8)], axis=1)


 Traceback (most recent call last):   File "<stdin>", line 1, in
 <module>   File
 "C:\Users\decisionsupport\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\generic.py",
 line 11616, in stat_func return self._agg_by_level(name, axis=axis,
 level=level, skipna=skipna)   


 File
 "C:\Users\decisionsupport\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\generic.py",
 line 10440, in _agg_by_level grouped = self.groupby(level=level,
 axis=axis, sort=False)   


 File
 "C:\Users\decisionsupport\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\generic.py",
 line 7894, in groupby **kwargs   



 File
 "C:\Users\decisionsupport\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\groupby\groupby.py",
 line 2522, in groupby return klass(obj, by, **kwds)   



 File
 "C:\Users\decisionsupport\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\groupby\groupby.py",
 line 363, in __init__ obj._consolidate_inplace()   



 File
 "C:\Users\decisionsupport\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\generic.py",
 line 5252, in _consolidate_inplace self._protect_consolidate(f)   



 File
 "C:\Users\decisionsupport\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\generic.py",
 line 5241, in _protect_consolidate result = f()   




 File
 "C:\Users\decisionsupport\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\generic.py",
 line 5250, in f self._data = self._data.consolidate()   



 File
 "C:\Users\decisionsupport\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\internals\managers.py",
 line 932, in consolidate bm._consolidate_inplace()   





 File
 "C:\Users\decisionsupport\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\internals\managers.py",
 line 937, in _consolidate_inplace self.blocks =
 tuple(_consolidate(self.blocks))   




 File
 "C:\Users\decisionsupport\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\internals\managers.py",
 line 1913, in _consolidate list(group_blocks), dtype=dtype,
 _can_consolidate=_can_consolidate   



 File "C:\Users\decisionsupport\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\internals\blocks.py",
 line 3323, in _merge_blocks new_values = new_values[argsort]   
 numpy.core._exceptions.MemoryError: Unable to allocate array with
 shape (4524, 1 38299) and data type uint8
>>> 

Answer 1

看起来 Anaconda 可能正在使用 64 位 python。您的错误回溯显示您的任务计划程序正在使用 32 位 python 运行您的 .py 脚本。要么

1. 将 32 位 python 替换为 64 位版本
2. 或安装一个单独的 64 位 python 并告诉任务计划程序使用它来运行 你的 .py 文件。

Answer 2

我认为你需要在调用脚本之前在 cmd 中激活你的 conda 库

call <path>\anaconda\Scripts\activate base
<path>\anaconda\python.exe <path>\scriptname.py