我这里没有best- estimator属性等但是可以运行

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

不明白 自由度，p值是什么，还有以后进行卡方检验时，可以直接套用这个模板吗？

lambdas_替换成

eigenvalues_

我对鸢尾花的数据做了标准化，与不标准化结果相差好大：

这样就报错：

必须这样，不知道哪里的问题：

将代码中的特征值访问修改成什么呢？

explained_variance_

这个嘛？

我为什么我的分词结果跟没分一样？

老师，就是这节视频里代码的k和p，为什么是这个范围内

请问数据集dataset是哪里来的？

from sklearn import datasets

X = boston.data
y = boston.target

下载课后资源在pycharm上尝试运行该代码报错，提示提供的表格内数据格式为非utf-8格式，如何解决？

下载课后资源后尝试运代码提示报错，大概意思应该是说资源里的表格数据格式为非utf-8格式，怎样解决？

老师，这里的k和p的取值范围为什么是2-11和1-6啊，是有什么依据还是随机的

老师，授课资料里咋没有这个文件咧