index=np.where(arr==6)[0][0] 1. 这将返回与6相等的第一个元素的索引位置。 代码示例 下面是使用Python NumPy库查找数据索引的完整代码示例: importnumpyasnp arr=np.array([2,4,6,8,10])index=np.where(arr==6)print("Index of number 6:",index)index=np.argwhere(arr==6)print("Index of n...
arr=np.array([5,2,8,1,9,3,7])min_index=np.argmin(arr)print("numpyarray.com: Index of minimum value:",min_index) Python Copy Output: np.argmin()返回数组中最小值的索引。 5.2 使用numpy.argmax() importnumpyasnp arr=np.array([5,2,8,1,9,3,7])max_index=np.argmax(arr)print(...
Index of the searched array in the original array: [1] Explanation: np_array = np.array([[1,2,3], [4,5,6] , [7,8,9], [10, 11, 12]]): This line creates a 4x3 NumPy array. test_array = np.array([4,5,6]): This line creates a 1D NumPy array. np.where((np_array ...
>>> import numpy as np>>> x=np.array([1,2,3,4,5,6,7,8,9,10,11,12])>>>print(x[1:5])#打印index为1~5的数组,范围是左闭右开[2 3 4 5]>>>print(x[3:])#打印index=3之后的数组,包含index=3[ 4 5 6 7 8 9 10 11 12]>>>print(x[:9])#打印index=9之前的数组,不包含in...
>>> s = np.array([i, j]) >>> # not what we want >>> a[s] Traceback (most recent call last): File "<stdin>", line 1, in <module> IndexError: index 3 is out of bounds for axis 0 with size 3 >>> # same as `a[i, j]` >>> a[tuple(s)] array([[ 2, 5], [...
For a two-dimensional array, using just one index returns the given row which is consistent with the construction of 2D arrays as lists of lists, where the inner lists correspond to the rows of the array. 对于二维数组,只使用一个索引返回给定的行,该行与二维数组作为列表的构造一致,其中内部列表...
Creating a new array Using np.arange with conditional selection Reshaping Let’s see them one by one using some illustrative examples: 1. Index of a NumPy Array by Creating a new array When we slice a NumPy array in Python, we can create a new array that references a subset of the orig...
其中array_name是要删除的数组的名称,index-value是要删除的元素的索引。例如,如果我们有一个有5个元素的数组,索引从0到n-1开始。如果我们想删除2,那么2元素的索引是1。 所以,我们可以指定 如果我们想一次删除多个元素,即1,2,3,4,5,你可以在一个列表中指定所有索引元素。
你可以通过调用NumPy的array()函数将一维数据从列表转换为数组。 代码语言:txt AI代码解释 # one dimensional example from numpy import array # list of data data = [11, 22, 33, 44, 55] # array of data data = array(data) print(data) ...
Generally speaking, what is returned when index arrays are used is an array with the same shape as the index array, but with the type and values of the array being indexed. 以二维数组为例: >>>importnumpyasnp>>>x = np.arange(12).reshape(3,4)>>>x ...