G:\PYthon\python_file\python_Machine_Lerning\python_machine_learning\venv\Scripts\python.exe G:\PYthon\python_file\python_Machine_Lerning\python_machine_learning\卡方检验.py 

G:\PYthon\python_file\python_Machine_Lerning\python_machine_learning\卡方检验.py:1: DeprecationWarning: 

Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),

(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)

but was not found to be installed on your system.

If this would cause problems for you,

please provide us feedback at https://github.com/pandas-dev/pandas/issues/54466

  import pandas as pd

Traceback (most recent call last):

  File "G:\PYthon\python_file\python_Machine_Lerning\python_machine_learning\venv\Lib\site-packages\pandas\compat\_optional.py", line 135, in import_optional_dependency

    module = importlib.import_module(name)

             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "G:\PYthon\python\Lib\importlib\__init__.py", line 126, in import_module

    return _bootstrap._gcd_import(name[level:], package, level)

           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "<frozen importlib._bootstrap>", line 1204, in _gcd_import

  File "<frozen importlib._bootstrap>", line 1176, in _find_and_load

  File "<frozen importlib._bootstrap>", line 1140, in _find_and_load_unlocked

ModuleNotFoundError: No module named 'openpyxl'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

  File "G:\PYthon\python_file\python_Machine_Lerning\python_machine_learning\卡方检验.py", line 5, in <module>

    home = pd.read_excel("home_income.xlsx")

           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "G:\PYthon\python_file\python_Machine_Lerning\python_machine_learning\venv\Lib\site-packages\pandas\io\excel\_base.py", line 495, in read_excel

    io = ExcelFile(

         ^^^^^^^^^^

  File "G:\PYthon\python_file\python_Machine_Lerning\python_machine_learning\venv\Lib\site-packages\pandas\io\excel\_base.py", line 1567, in __init__

    self._reader = self._engines[engine](

                   ^^^^^^^^^^^^^^^^^^^^^^

  File "G:\PYthon\python_file\python_Machine_Lerning\python_machine_learning\venv\Lib\site-packages\pandas\io\excel\_openpyxl.py", line 552, in __init__

    import_optional_dependency("openpyxl")

  File "G:\PYthon\python_file\python_Machine_Lerning\python_machine_learning\venv\Lib\site-packages\pandas\compat\_optional.py", line 138, in import_optional_dependency

    raise ImportError(msg)

ImportError: Missing optional dependency 'openpyxl'.  Use pip or conda to install openpyxl.

代码：

pandas pd
statsmodels.stats.contingency_tables tbl

home = pd.read_excel()
(home.head())
pd.crosstab(home.Ts9,home)

到底哪里出现了问题，我用的pycharm

老师,这样算是装对吗？

multiprocessing.current_process().pid

和os.getpid的作用是一样的吧

老师  就是我这个event对象会不会被其他线程的event.set启动  而且这个主线程是相当个进程吗

老师，没明白为什么要在外面再套一层，不能像下面传a,b,c一样直接传参数吗？

#coding=utf-8
def mylog(type):
    def decorator(func):
        def infunc(*args,**kwargs):
            if type == '文件':
                print('文件中：日志记录')
            else:
                print("控制台：日志记录")
            return func(*args,**kwargs)
        return infunc
    return decorator

@mylog('文件')
def fun2(a,b,c):
    print('fun2 run!',a,b,c)

if __name__ == '__main__':
    fun2(100,200,300)

就是fun2中传的参数和这样再套一层传的参数作用哪里不一样？

老师，说实话这种代码我自己写不出来，要怎样练习才能熟练写出呢

为啥图例显示不出来啊

老师

为什么这个 t1设为守护线程但是没用 

这个t1.daemon=True为啥一定要在t1.start()前面

老师        在最前面打印#coding=utf-8  和#encoding=utf-8  有啥区别吗

镜像网站点进去显示404怎么办

讲解机器学习例子的时候，可能有点讲错了。

老师你好，为什么我的IDEA和老师那个不一样，新建model的时候

为什么我的高和右对齐需要这样设置才能达到视屏中对齐的效果？

老师这个访问home时是不是应该是400呢，我访问home出来就是404，是哪里有问题了呢