# print(d is c,e.base is c) #花式索引 #一维索引 # print(c[1,2]) # print(c[[2,3],[1,2]])#行索引和列索引 # rows = np.array([[0,0],[3,3]])#0轴的0行和3行分别由两个元素 # cols = np.array([[0,3],[0,3]])#这4个元素分别是0，2列的 # print(c[rows,cols]) a = np.arange(12).reshape(3, 4) b1 = np.array([False, True, True]) b2 = np.array([True, False, True, False]) # print(a[b1,b2]) aa = np.array([2, 3, 4, 5]) bb = np.array([8, 5, 4]) cc = np.array([5, 4, 6, 8, 3]) # ax,bx,cx = np.ix_(aa,bb,cc) # print(np.shape(ax)) # print(np.shape(bx)) # print(np.shape(cx)) aa.itemset(3, 100) #在指定位置插入值 # print(bb.tostring())#转化为字节字符串 # print(bb.tolist()) cc.fill(0) #方法：无返回值 bb.flat = 1 #数组的迭代器，可索引 cf = c.flatten() #将多维数组展开 zl = np.zeros_like(c) np.argmax(c, axis=0) com = np.arange(12).reshape(((3, 4))) g1 = np.generic() print(g1)
def __float__(self):
return 1.0
np.int8(A()) # E: incompatible type
np.int16(A()) # E: incompatible type
np.int32(A()) # E: incompatible type
np.int64(A()) # E: incompatible type
np.uint8(A()) # E: incompatible type
np.uint16(A()) # E: incompatible type
np.uint32(A()) # E: incompatible type
np.uint64(A()) # E: incompatible type
np.void("test") # E: incompatible type
np.generic(1) # E: Cannot instantiate abstract class
np.number(1) # E: Cannot instantiate abstract class
np.integer(1) # E: Cannot instantiate abstract class
np.inexact(1) # E: Cannot instantiate abstract class
np.character("test") # E: Cannot instantiate abstract class
np.flexible(b"test") # E: Cannot instantiate abstract class
np.float64(value=0.0) # E: Unexpected keyword argument
np.int64(value=0) # E: Unexpected keyword argument
np.uint64(value=0) # E: Unexpected keyword argument
np.complex128(value=0.0j) # E: Unexpected keyword argument
np.str_(value='bob') # E: No overload variant
np.bytes_(value=b'test') # E: No overload variant
np.void(value=b'test') # E: Unexpected keyword argument
np.bool_(value=True) # E: Unexpected keyword argument
np.datetime64(value="2019") # E: No overload variant