# Get the index of elements with value less # than 20 and greater than 12 print("The numbers index locations with the index of elements with value less than 20 and greater than 12 are ", np.where((a>12)&(a<20))) 输出: 数值小于20且大于12的元素索引的数字索引位置为(array([ 2, 3...
>>> np.ones(3) array([1., 1., 1.]) >>> np.zeros(3) array([0., 0., 0.]) >>> rng = np.random.default_rng() # the simplest way to generate random numbers >>> rng.random(3) array([0.63696169, 0.26978671, 0.04097352]) ../_images/np_ones_zeros_random.png 你还可以使用...
bins = np.array([0,1,2,3]) np.digitize(a,bins) array([0, 1, 1, 2, 2, 2, 4, 4, 4], dtype=int64) Exp Value x < 0 : 0 0 <= x <1 : 1 1 <= x <2 : 2 2 <= x <3 : 3 3 <=x : 4 Compares -0.9 to 0, here x < 0 so Put 0 in resulting array. Compare...
In NumPy, we can also use the insert() method to insert an element or column. The difference between the insert() and the append() method is that we can specify at which index we want to add an element when using the insert() method but the append() method adds a value to the en...
ExampleGet your own Python Server Find the indexes where the value is 4: importnumpyasnp arr = np.array([1,2,3,4,5,4,4]) x =np.where(arr ==4) print(x) Try it Yourself » The example above will return a tuple:(array([3, 5, 6],) ...
cond=np.mod(array,2)==1cond output 代码语言:javascript 复制 array([False,True,False,True,False,False,False,True,False,True,False,True])# Use extract togetthe values 又例如 代码语言:javascript 复制 np.extract(cond,array) output 代码语言:javascript ...
本节涵盖np.array()、np.zeros()、np.ones()、np.empty()、np.arange()、np.linspace()、dtype 要创建一个 NumPy 数组,可以使用函数np.array()。 要创建一个简单的数组,您只需向其传递一个列表。如果愿意,还可以指定列表中的数据类型。您可以在这里找到有关数据类型的更多信息。
Suppose that we are given a 2D numpy array and we need to find the row index of several values in this array.For example, if we are given an array as:[[1, 2], [3, 4], [5, 6], [7, 8], [9, 10]] And, we need to extract the indices of [1,2], [5,6] and [9,10...
assert_array_almost_equal函数 有时我们需要检查两个数组是否几乎相等。 如果两个数组的指定精度不相等,assert_array_almost_equal函数将引发异常。 该函数检查两个数组的形状是否相同。 然后,将数组的值按元素进行如下比较: |expected - actual| <0.510-decimal ...
Python program to find first index of value fast# Import numpy import numpy as np # Creating an array arr = np.array([1,0,5,0,9,0,4,6,8]) # Display original array print("Original Array:\n",arr,"\n") # Finding index of a value ind = arr.view(bool).argmax() res = ind ...