AttributeError: 'numpy.ndarray' object has no attribute 'notnull'

这个错误提示表明你正在尝试在一个 numpy.ndarray 对象上调用 "notnull" 属性，但是 numpy.ndarray 对象并没有 "notnull" 属性。

这个错误通常发生在试图在 Pandas DataFrame 或 Series 中使用 "notnull" 方法时，但是你传递给方法的对象实际上是一个 numpy.ndarray 对象，而不是 DataFrame 或 Series。

请检查你的代码，确保你正在使用正确的对象类型。如果你的代码使用了 numpy.ndarray 对象，请使用其他方法或属性来检查它们的空值。如果你确实需要使用 Pandas 对象，请确保你已经正确地导入 Pandas 库并实例化了 DataFrame 或 Series 对象。

相关问题

AttributeError: 'float' object has no attribute 'sqrt'

根据引用，出现了TypeError: loop of ufunc does not support argument 0 of type float which has no callable sqrt method AttributeError: ‘float’ object has no attribute ‘sqrt’的错误。这个错误可能是因为在代码中使用了一个float类型的对象，但是float类型没有sqrt方法。为了解决这个问题，可以使用numpy模块的sqrt函数，将float类型的对象转换为numpy数组，然后再进行平方根运算。具体的解决方法是使用np.sqrt函数，将envelope_data ** 2和hx ** 2两个对象转换为numpy数组后再进行平方根运算，即hy = np.sqrt(np.array(envelope_data) ** 2 + np.array(hx) ** 2) [1。

另外，根据引用，numpy无法处理sympy的Float类型。在调试过程中，可以看到Wapproxlist的类型是sympy.core.numbers.Float。为了<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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module 'numpy.linalg' has no attribute 'null_space'

As an AI language model, I cannot access your local environment to check the version of NumPy you are using. However, the error message suggests that the version of NumPy you are using does not have the attribute `null_space` in the `numpy.linalg` module.

The `null_space` function was introduced in NumPy version 1.13, so you need to make sure that you have installed a version of NumPy that is equal or greater than 1.13. To upgrade your NumPy version, you can run the following command in your terminal:

pip install --upgrade numpy

If you have already installed NumPy version 1.13 or later and are still encountering this error, try importing the function directly from the `scipy.linalg` module instead:

from scipy.linalg import null_space