'numpy.ndarray' object has no attribute 'find'

'numpy.ndarray'对象没有'find'属性。这是因为NumPy数组对象（ndarray）没有内置的'find'方法。如果您想在NumPy数组中查找特定的值或索引，可以使用NumPy提供的其他方法，如'where'、'argwhere'、'nonzero'等。这些方法可以帮助您在数组中查找满足条件的元素或索引。

相关问题

'numpy.ndarray' object has no attribute 'index'

The error message `'numpy.ndarray' object has no attribute 'index'` typically occurs when you try to call the `index()` method on a NumPy array. However, unlike lists in Python, NumPy arrays don't have an `index()` method.

To find the index of an element in a NumPy array, you can use the `numpy.where()` function. Here's an example:

import numpy as np

arr = np.array([1, 2, 3, 4, 5])
idx = np.where(arr == 3)
print(idx)

This will output `(array([2]),)`, which indicates that the value `3` is located at index `2` in the array.

'numpy.ndarray' object has no attribute 'dropna'

`numpy.ndarray` object does not have a `dropna` attribute because it is not a built-in function or method of NumPy arrays. The `dropna` function is typically used with pandas DataFrames or Series to remove missing values.

If you are working with a NumPy array and want to remove missing values, you can achieve that by using the `np.isnan` function to find the indices of NaN values and then indexing the array accordingly. Here's an example:

import numpy as np

arr = np.array([1, 2, np.nan, 4, 5, np.nan])

# Find indices of NaN values
nan_indices = np.isnan(arr)

# Remove NaN values
arr_without_nan = arr