'numpy.ndarray' object has no attribute 'iloc

'numpy.ndarray' object没有'iloc'属性。'iloc'是pandas.DataFrame和pandas.Series对象的属性，用于按位置选择行和列。而'numpy.ndarray'是一个多维数组对象，不支持'iloc'属性。如果你想使用'iloc'属性，你需要将'numpy.ndarray'转换为pandas.DataFrame或pandas.Series对象。

相关问题

numpy.ndarray' object has no attribute 'iloc

The 'iloc' method is not available for numpy arrays as it is a method of pandas DataFrames and Series. The 'iloc' method is used to select rows and columns based on their integer position.

If you want to select specific rows or columns from a numpy array, you can use indexing or slicing. For example, to select the first row of a 2D numpy array, you can use:

import numpy as np

arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

first_row = arr[0]

This will return the first row of the array `[1, 2, 3]`. Similarly, to select the first column, you can use:

first_column = arr[:, 0]

This will return the first column of the array `[1, 4, 7]`.

numpy.ndarray' object has no attribute 'iloc'

numpy.ndarray对象没有iloc"属性。"iloc"是pandas库中DataFrame对象的属性，用于按照位置选择数据。而numpy.ndarray是NumPy库中的多维数组对象，不支持使用"iloc"来选择数据。

如果您想在NumPy中选择数据，可以使用索引或切片操作来获取特定位置或范围的元素。例如，可以使用索引来获取数组中的单个元素，或使用切片来获取数组的子集。