python编译报错

Question

Traceback (most recent call last):
  File "C:\Users\Lenovo\AppData\Local\Programs\Python\Python39\lib\code.py", line 90, in runcode
    exec(code, self.locals)
  File "<input>", line 1, in <module>
  File "F:\pyhcarm\PyCharm 2022.2.1\plugins\python\helpers\pydev\_pydev_bundle\pydev_umd.py", line 198, in runfile
    pydev_imports.execfile(filename, global_vars, local_vars)  # execute the script
  File "F:\pyhcarm\PyCharm 2022.2.1\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "C:/Users/Lenovo/Desktop/20230330实验课作业/实验作业/A2140772C0746524CBDBBCA9C0AABCC8.py", line 45, in <module>
    mm_data = mm.fit_transform(data)  # 归一化后的数据
  File "C:\Users\Lenovo\PycharmProjects\pythonProject9\venv\lib\site-packages\sklearn\utils\_set_output.py", line 142, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "C:\Users\Lenovo\PycharmProjects\pythonProject9\venv\lib\site-packages\sklearn\utils\_set_output.py", line 142, in wrapped
    data_to_wrap = f(self, X, *args, **kwargs)
  File "C:\Users\Lenovo\PycharmProjects\pythonProject9\venv\lib\site-packages\sklearn\base.py", line 848, in fit_transform
    return self.fit(X, **fit_params).transform(X)
  File "C:\Users\Lenovo\PycharmProjects\pythonProject9\venv\lib\site-packages\sklearn\preprocessing\_data.py", line 427, in fit
    return self.partial_fit(X, y)
  File "C:\Users\Lenovo\PycharmProjects\pythonProject9\venv\lib\site-packages\sklearn\preprocessing\_data.py", line 466, in partial_fit
    X = self._validate_data(
  File "C:\Users\Lenovo\PycharmProjects\pythonProject9\venv\lib\site-packages\sklearn\base.py", line 535, in _validate_data
    X = check_array(X, input_name="X", **check_params)
  File "C:\Users\Lenovo\PycharmProjects\pythonProject9\venv\lib\site-packages\sklearn\utils\validation.py", line 877, in check_array
    array = _asarray_with_order(array, order=order, dtype=dtype, xp=xp)
  File "C:\Users\Lenovo\PycharmProjects\pythonProject9\venv\lib\site-packages\sklearn\utils\_array_api.py", line 185, in _asarray_with_order
    array = numpy.asarray(array, order=order, dtype=dtype)
  File "C:\Users\Lenovo\PycharmProjects\pythonProject9\venv\lib\site-packages\pandas\core\generic.py", line 2070, in __array__
    return np.asarray(self._values, dtype=dtype)
ValueError: could not convert string to float: 'Sphagnum Moss'

有没有人能告诉我这个报错是什么意思 呀？使用层次聚类分析的时候报的错
谢谢

Answer 1

看最后一行，无法将字符串转成浮点类型