我正在尝试将 numpy.array
从形状 (4,4) reshape 为形状 (2,2,2,2)。我收到的错误是:
ValueError:无法将输入数组从形状 (2,2,2,2) 广播到形状 (4,4)。
这让我觉得我的形状是倒退的,但检查后发现事实并非如此。
我有一个用户定义的函数,它使用 np.reshape 将数组 reshape 为特定形状(如果它还不是该形状)。我尝试消除用户定义的函数并仅使用 np.reshape,但它返回了相同的错误。我错过了什么?
reshape 函数:
def reshape(matrix, ports, modes):
shape = (ports, ports, modes, modes)
if(np.shape(matrix) != shape): #reshape if necessary
return np.reshape(matrix, shape)
else:
return matrix
我在哪里调用这个函数:
def plot(S, F, ports, modes, x_range, y_range, title, f_units,
multi_modal = True):
data = {} #create dictionary to store S-parameters
if(not multi_modal): #if we want average
for f in range(0, len(F)): #iterate through frequencies
print(np.shape(S[f]))
S[f] = reshape(S[f], ports, modes)
在本例中,端口 = 2,模式 = 2。
S[f]
是形状为 (4,4) 的 np.array:
[[ 1.00000000e+00+0.00000000e+00j -1.02728868e-19+1.64952184e-22j
-1.37762998e-20+2.40441793e-24j -4.18063430e-24-1.18287261e-21j]
[ 0.00000000e+00-0.00000000e+00j -1.00000000e+00+1.22464680e-16j
3.03393173e-26-1.77961140e-24j 1.57277027e-25+2.06062998e-23j]
[-1.95100984e-27+3.66506948e-24j 2.38762635e-25+1.48052807e-22j
1.00000000e+00+0.00000000e+00j 2.90518731e-20+1.33913685e-17j]
[-3.47614015e-25-4.08540212e-23j -3.30653510e-21+2.87402660e-23j
1.77338192e-21+2.27000073e-19j -1.00000000e+00+1.22464680e-16j]]
为什么返回错误:
ValueError: could not broadcast input array from shape (2,2,2,2) into shape (4,4)
什么时候应该将其从 (4,4) reshape 为 (2,2,2,2)?
最佳答案
这样就可以了
def plot(S, F, ports, modes, x_range, y_range, title, f_units,
multi_modal = True):
data = {} #create dictionary to store S-parameters
if(not multi_modal): #if we want average
for f in range(0, len(F)): #iterate through frequencies
print(np.shape(S[f]))
S_reshaped = reshape(S[f], ports, modes)
如果您需要存储结果,您可以创建一个空列表,然后将重构后的数组附加到其中。
def plot(S, F, ports, modes, x_range, y_range, title, f_units,
multi_modal = True):
data = {} #create dictionary to store S-parameters
S_reshaped=[]
if(not multi_modal): #if we want average
for f in range(0, len(F)): #iterate through frequencies
print(np.shape(S[f]))
S_reshaped.append(reshape(S[f], ports, modes))
关于python - 从错误的 numpy 形状中 reshape 函数广播,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/55593784/