下面是一个示例代码: importnumpyasnp# 创建一个空数组arr=np.array([])# 检查数组是否为空ifarr.ndim==1:print("数组为空")else:print("数组不为空") 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 运行以上代码,输出结果为: 使用逻辑判定 numpy数组对象本身也是一个可迭代对象,当判定为布尔值时,根据数...
isinstance函数会判断var是否为np.ndarray类型,如果是,则输出“The variable is a numpy array.”,否则输出“The variable is not a numpy array.”。 4. 示例代码 下面是一个完整的示例代码,演示了如何判断一个变量是否为numpy数组: importnumpyasnpdefcheck_numpy_array(var):ifisinstance(var,np.ndarray):prin...
importnumpyasnpdefcheck_positive(number):returnnumber>0vectorized_check=np.vectorize(check_positive)array=np.array([-10,0,10,20])result=vectorized_check(array)print(
importnumpyasnpdefcheck_all_zeros(arr):returnnp.all(arr==0)# 创建一个全零数组zero_array=np.zeros((3,3))print("Is zero_array all zeros?",check_all_zeros(zero_array))# 创建一个非全零数组non_zero_array=np.array([[0,0,1],[0,0,0],[0,0,0]])print("Is non_zero_array all ze...
array([ 0, 1, 8, 19, 16, 18, 10, 11, 2, 13, 14, 3])# Divide by 2 and check if remainder is 1 >>> cond = np.mod(array, 2)==1 >>> cond array([False, True, False, True, False, False, False, True, False, True, False, True])# Use extract to get the values ...
# Random integersarray = np.random.randint(20, size=12)arrayarray([ 0, 1, 8, 19, 16, 18, 10, 11, 2, 13, 14, 3])# Divide by 2 and check if remainder is 1cond = np.mod(array, 2)==1condarray([False, True, False, True, False, ...
# Random integersarray = np.random.randint(20, size=12)arrayarray([ 0, 1, 8, 19, 16, 18, 10, 11, 2, 13, 14, 3])# Divide by 2 and check if remainder is 1cond = np.mod(array, 2)==1condarray([False, True, False, True, False, False, False, True, False, True, False,...
1 How to check if all elements of a numpy.array are of the same data type? 2 How to check if a value is of a NumPy type? 2 Can I use dtype to find the elements of an numpy array are strings? 0 Testing Numpy array to see if it is in column form 33 check type within numpy...
41. How to sum a small array faster than np.sum? >>Z = np.arange(10) np.add.reduce(Z) 45 42. Consider two random array A and B, check if they are equal >>A = np.random.randint(0,2,5) B = np.random.randint(0,2,5) ...
array([0,1,8,19,16,18,10,11,2,13,14,3])# Divide by2andcheckifremainderis1 cond = np.mod(array,2)==1 cond array([False,True,False,True,False,False,False,True,False,True,False,True])# Use extracttogetthe values np.extract(cond,array) ...