在numpy数组中查找none和nan的索引

import numpy as np

arr = np.array([1, None, np.nan, 3, None])

nan_indices = np.isnan(arr)

nan_indices = np.where(nan_indices)[0]

none_indices = np.equal(arr, None)

none_indices = np.where(none_indices)[0]

import numpy as np

arr = np.array([1, None, np.nan, 3, None])

nan_indices = np.isnan(arr)
nan_indices = np.where(nan_indices)[0]

none_indices = np.equal(arr, None)
none_indices = np.where(none_indices)[0]

print("NaN的索引：", nan_indices)
print("None的索引：", none_indices)