Question

当我尝试通过使用pandas_profiling抛出

之类的错误来分析一个sql服务器表的数据时

尝试了在当前进程已完成其引导阶段。

    This probably means that you are not using fork to start your
    child processes and you have forgotten to use the proper idiom
    in the main module:

        if __name__ == '__main__':
            freeze_support()
            ...

    The "freeze_support()" line can be omitted if the program
    is not going to be frozen to produce an executable.

这是我用来运行的代码，我不知道如何解决此问题。

import pandas as pd
import pandas_profiling


df=pd.DataFrame(read)
profile=pandas_profiling.ProfileReport(df)

enter code here

我希望看到给定表的分析结果enter image description here

Answer 1

尝试使用multiprocessing.freeze_support（）如下：

import multiprocessing
import numpy as np
import pandas as pd
import pandas_profiling


def test_profile():
    df = pd.DataFrame(
        np.random.rand(100, 5),
        columns=['a', 'b', 'c', 'd', 'e']
    )

    profile = pandas_profiling.ProfileReport(df)
    profile.to_file(outputfile="output.html")


if __name__ == '__main__':
    multiprocessing.freeze_support()
    test_profile()

如何使用pandas_profiling对表进行数据配置文件

1 个答案: