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) = ...
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...
>>> 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) 5、超越函数运...
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. These key...
NumPy arrays can also be indexed using logical indices,but what does that actually mean? NumPy数组也可以使用逻辑索引进行索引,但这实际上意味着什么? Just as we can have an array of numbers, we can have an array consisting of true and false, which are two Boolean elements. 正如我们可以有一个...
Array Operations NumPy Arithmetic Array Operations NumPy Array Functions NumPy Comparison/Logical Operations NumPy Math Functions NumPy Constants NumPy Statistical Functions NumPy String Functions Advance NumPy Operations NumPy Broadcasting NumPy Matrix Operations NumPy Set Operations NumPy Vectorization NumPy Boolean...
arr_bool = np.array([True, False, False, True], dtype=bool) print(arr_bool.dtype) # bool 1. 2. 3. Int类型:用于存储有符号或无符号整数,数字越大占用的内存越大,类型名中的数字表示占用的位数。 import numpy as np arr_int8 = np.array([1, 2, 3, 4], dtype=np.int8) ...
a, The NumPy array data structure and its associated metadata fields. -数组结构:数据、数据类型、维度、内存中向前移动的字节数 b, Indexing an array with slices and steps. These operations return a ‘view’ of the original data. -数组索引 c, Indexing an array with masks, scalar coordinates or...
import numpy as np arr_int8 = np.array([1, 2, 3, 4], dtype=np.int8) arr_uint16 = n...
import numpy as np # 创建整数数组 arr = np.array([1, 2, 3, 4, 5], dtype=np.int32) # 算术运算 arr_add = arr + 10 arr_sub = arr - 2 arr_mul = arr * 3 arr_div = arr / 2 # 结果会被转换为浮点数 # 逻辑运算 arr_logical_not = ~arr arr_logical_and = (arr > 2...