numpy.logical_xor(var1,var2) Python Copy其中, var1 and var2 are a single variable or a list/array.返回类型: Boolean value (True or False)示例:# importing numpy module import numpy as np # logical operations between boolean values print('Operation between true and true ( 1 and 1) = ...
rate = np.count_nonzero(np.logical_and(fs_predict_array, ground_truth_array))rate = np.count_nonzero(fs_predict_array * ground_truth_array)不过fs_predict_array * ground_truth_array返回的是0-1array,而np.logical_and(fs_predict_array ,ground_truth_array)返回的是True-False array,但是都可以...
Example 3: NumPy Logical Operations importnumpyasnp x1 = np.array([True,False,True]) x2 = np.array([False,False,True])# Logical ANDprint(np.logical_and(x1, x2))# Output: [False False True]# Logical ORprint(np.logical_or(x1, x2))# Output: [ True False True]# Logical NOTprint...
import numpy as np arr_int8 = np.array([1, 2, 3, 4], dtype=np.int8) arr_uint16 = n...
数组串联和拆分 (Array concatenation and splitting) Joining or concatenating array in NumPy is done by using np.concatenate, np.vstack, np.hstack, np.dstack. Don’t be worried by the sophisticated names “stack”, it's very simple operations here. ...
>>> a = np.array([1, 1, 0, 0], dtype=bool)>>> b = np.array([1, 0, 1, 0], dtype=bool)>>> np.logical_or(a, b)#逻辑或array([ True, True, True, False], dtype=bool)>>> np.logical_and(a, b)#逻辑且array([ True, False, False, False], dtype=bool) ...
import numpy as np # 创建两个矩阵 mat1 = np.array([[1, 2], [3, 4]]) mat2 = np....
官网来源: 数学运算(Math operations) 三角函数(Trigonometric functions) All trigonometric functions use radians when an angle is called for. The ratio of degrees to radians is 180∘/π. 逻辑函数(Comparison functions) Warning Do not use the Python keywordsandandorto combine logical array expressions...
Note that, besides comparing, you can also perform logical operations on your arrays. You can start with np.logical_or(), np.logical_not() and np.logical_and(). This basically works like your typical OR, NOT and AND logical operations; In the simplest example, you use OR to see whethe...
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