使用shapiro函数的时候报错：TypeError: 'method' object is not subscriptable

Question

问题详细

我在使用shapiro函数的时候报错：TypeError: 'method' object is not subscriptable。

问题代码：

from scipy.stats import shapiro
shapiro_stat, s_p_value = shapiro(df[arg.col])
    if s_p_value > 0.05:
        return True
    else:
        return False

报错如下：

concurrent.futures.process._RemoteTraceback: 
"""
Traceback (most recent call last):
  File "C:\Users\xxx\anaconda3\envs\learn\lib\concurrent\futures\process.py", line 246, in _process_worker
    r = call_item.fn(*call_item.args, **call_item.kwargs)
  File "C:\Users\xxx\anaconda3\envs\learn\lib\concurrent\futures\process.py", line 205, in _process_chunk
    return [fn(*args) for args in chunk]
  File "C:\Users\xxx\anaconda3\envs\learn\lib\concurrent\futures\process.py", line 205, in <listcomp>
    return [fn(*args) for args in chunk]
  File "D:\Desktop\aaa项目\weight_estimation\2.2.2.原始数据分析验证_局部异步池.py", line 249, in remove_anomalies_day
    df_day_details = remove_anomalies(df_day_group,arg)
  File "D:\Desktop\aaa项目\weight_estimation\2.2.2.原始数据分析验证_局部异步池.py", line 227, in remove_anomalies
    k = binning_k(df, arg)
  File "D:\Desktop\aaa项目\weight_estimation\utils2\binning_k.py", line 92, in binning_k
    k = auto_k(df,arg)
  File "D:\Desktop\aaa项目\weight_estimation\utils2\binning_k.py", line 80, in auto_k
    Orthotropic_jude = distribution_test(df, arg)
  File "D:\Desktop\aaa项目\weight_estimation\utils2\distribution_tests.py", line 117, in distribution_test
    sw_bool = shapiro_wilk_tests(df=df.copy, arg=arg)
  File "D:\Desktop\aaa项目\weight_estimation\utils2\distribution_tests.py", line 105, in shapiro_wilk_tests
    print(df[arg.col])
TypeError: 'method' object is not subscriptable
"""

我在jupyter上是正常使用的。没有报错。但是在pycharm上却报错。

问题环境

win11
python 3.8
scipy 1.10.0

Answer 1

已解决，问题是由于多进程中的内存复制引起的！python的多进程貌似不允许在子进程中进行内存复制，因为这样的话会出现多次复制，这个过程相当于是多个子进程共享了主进程的内存地址，所以这样是报错的。
解决详细办法就是在调用的时候不允许出现df.copy()等行为。