python-3.x - 加载 npz 文件并遍历所有数组

Question

我有一个压缩.npz文件，加载如下：

results=np.load('/homes/`enter code here`scores060000.npz', encoding='bytes')

但是，我无法遍历文件以逐个访问数组。

我试过什么？

results.files()

['分数']

但是当我做

results['scores'][0] # to get the first array

*** IndexError：数组索引过多

results['scores'].keys()

*** AttributeError: 'numpy.ndarray' 对象没有属性 'keys'

这是文件的示例

'/file4/4.png'：array（[ - 1.651477，-1.907163，-3.1426308，3.8437457，-1.6413991，3.9418564，-2.097484，-4.10600484，-4.1060033， -5.80974.801667，-5.80.8097,67,67,67,67,67,67，-5.80,80,67，-5.80,80,67，-5.80，0.80，4.80，4.80，4.80，4.80，4.80，4.80，bisthy，4.80，4.80，4.80，10，,，，.，，，,, 1.3052248 , 2.2658308 , -1.247977 , 7.906589 , 4.1645093 , -1.2772448 , 2.9711807 , -0.68575585, -4.08245 , -4.802993 , -1.2243137 , -3.3159957 , -5.2699194 , 0.8371297 , 0.80230814, -5.1045756 , -2.7776072 , -2.5447376 , -3.2206695 , -1.6834608 , 0.03849944, -0.24658614, 0.84565806, 0.8182453 , -0.79316556, 1.1238738 , -2.5781393 , -1.7877787 , -7.7516017 , -0.0954666 , -0.2568078 , -5.9535336 , 4.600506 , -0.6839486 , 1.101945 , -4.871244 , 0.45752206, -1.5437831 , 0.39374897、-0.5242709、-4.308458、8.083314、3.428661、-4.207958、8。915849 , -0.86354035, -0.8921649 , -3.0371819 , -1.4496443 , -2.869159 , -2.0725305 , -3.3047957 , -2.6443558 , -1.6881287 , -2.1690493 , -1.6784476 , -3.871248 , 1.2377933 , -4.456587 , -7.346478 , 1.8070494 , -1.5207015 , 2.2107837 , 5.3954268 , 0.44746792, -2.7442515 , -5.163432 , 0.25762084, -2.7383866 , -3.5220423 , -1.6739469 , -5.2574334 , 0.19439769, -0.66933227, -3.4044476 , 1.0006926 , 8.179258 , -0.3292276 , -2.4944222 , 0.6352347 , -4.9328766 , -3.6732411，-4.645098，-3.7336316，-4.650411，-1.1193942，-2.4021673，9.60228]，dtype = float32），'/file3/3.png'： -3.1601653、0.8242829、1.6684622、-3.7665265、2.0375075、-6.6443377、1.5364946、-1.1193827、-3。0785651 , -5.0486474 , -1.0922289 , 2.1312854 , -2.9272187 , 0.9454415 , -0.13194042, -0.3385026 , -4.4860635 , -0.80675066, 5.478806 , -1.9646504 , -1.3469064 , -0.98173124, -6.078044 , -0.6684527 , 4.5297656 , 2.5620239 , 12.816556 , 2.2342243 , -1.8920712 , -2.387616 , 0.77336925, 1.0052404 , -2.7040641 , 5.7424645 , -1.1701487 , -1.2083752 , 2.7204783 , -5.1847005 , -3.7228272 , -0.22128446, 1.5531254 , -4.013649 , -1.1326185 , -2.685383 , -1.6641728 , -0.36011285 , -0.7170791 , -1.417088 , -2.8416286 , -1.0756694 , 2.9484415 , -3.2145221 , 0.18724221, -4.410981 , -0.20475249, -4.284647 , -0.0297867 , 2.5260768 , 0.8918827 , -1.1881785 , -3.121708 , -5.6494484 , -2.044363 , -4.5841136 , -4.6920342 , -2.0244665 , -1.060093 , -0.6903727 ,-0.720652 , -4.2343864 , -1.9107593 , 6.3486543 , -0.15267012, -1.0452555 , 0.9056848 , -1.1271408 , 4.928084 , 2.3845124 , -0.28718042, 0.53633213, 6.3739076 , -2.0438914 , 1.20196 , 1.1123928 , -4.3619947 , -1.1515617 , 0.18415602, -0.06180171 ，-0.20822835，-3.0902917，-3.1353855，1.4377578，-0.8310707，-2.603929，2.903148，-0.6100564，-1.8161871] -6.2239873e-01, -2.0357392e+00, 4.9808624e-01, -1.7960895e+00, -1.8575675e+00, -1.2165427e+00, -3.6179656e-01, -4.3200240e+00, -2.446 +00, 1.3260385e+00, -2.7656777e+00, -2.0749898e+00, -2.5266984e+00, 1.3110629e+00, 3.9533191e+00, 4.8012048e-01, -2.8147533e+00, -2. +00、-1.4515022e+00、-8.9944059e-01、-9.6252346e-01、1。0777255e+00, 2.0491233e-01, -6.6335851e-01, -3.9736774e+00, -3.4321864e+00, 5.4393544e+00, -1.0569165e+00, -2.4446402e+00, -1.86719, -1.6519018e+00, 1.7538584e+00, -2.5712433e+00, -7.4690372e-01, 4.6145740e-01, -5.5915272e-01, -7.8732646e-01, -3.3801985e+00, -2.560e5+ 00, -3.5273430e+00, -1.5424553e+00, 1.9753126e+00, 8.4598374e-01, -1.5159348e+00, -3.1205835e+00, 2.8564734e+00, -1.51079436e+00, -3. +00, -1.3126992e+00, -1.8536948e-01, 1.7078512e+00, -4.2180629e+00, -3.2771609e+00, 8.9760866e+00, -4.4880909e-01, -6.34605071, 2. e+00, 2.1895382e+00, -1.9819100e+00, -2.4119055e+00, 9.2510238e-02, -1.9337451e+00, -1.4222538e+00, 2.2197738e+00, -3.6818323e+00, - 6.6456646e-02、-2.4740572e+00、-3.4280837e+00、-3.3387463e+00、1。1384126e+00, -1.53​​73305e+00, -3.4580667e+00, -2.2388813e+00, -4.6271877e+00, -3.0023365e+00, 4.5120735e-03, -6.9383731e+00, 5.492227, 3.6206059e+00, 2.6019840e+00, -1.53​​82010e+00, -1.5167688e+00, 5.4298296e+00, -7.8890306e-01, -3.5365894e+00, -5.7465988e-01, -2.9401e-01 , -3.0376801e+00, 3.3693345e+00, 8.3250761e+00, 5.0635014e+00, 2.7871721e+00, -3.2907157e+00, -3.4527814e+00, -4.3827205e+00, -6.00e+ , 2.0345461e-01, 1.5018797e+00, 1.5115099e+00, -2.3368890e+00], dtype=float32), '/file1/1.png': array([-2.880651 , -3.5033705 , 3.707060199 , -0328 , 1.7049406 , -2.4601865 , -2.432671 , 3.573076 , -0.66925764, -4.9513187 , 3.5004294 , -3.1082163 , -2.1569846 , -4.655545 , -2.6699617 , -2.0030148 , -2.5035274 , -2.0025814 , -0.37288237, -1.2053664 , -1.1685671 , 0.422138 , 0.5124443 , 0.7623316 , -0.8360331 , -1.1486149 , -5.092014 , 0.78394383, 1.6535784 , 1.4055651 , 2.8729122 , 1.0578096 , -2.6003664 , -4.1960926 , -2.3535116 , 0.46660176, -2.432323 , 1.2694867 , - 4.972548 , 0.74941415, 1.3963044 , 3.5629773 , -2.4826858 , -1.5813217 , -1.4925203 , -1.4314067 , -1.7682784 , -2.3176155 , -1.53​​88411 , -1.4064139 , 1.3307506 , -2.1563005 , -4.100337 , -3.9060237 , 0.05410841, -1.2395332 , 2.4205167 , -0.9115535 , -2.096323 , -1.5538993 , -1.7992512 , 0.3886638 , -0.8848116 , -1.7380404 , -1.6939284 , -2.6846013 , -0.49933237, -0.03601296, -2.0352333 , -1.8516303 , -3.2491822 , 0.88307995, 1.3174123 , -2.4134717 , -0.78582317 , 2.5116985 , -2.7801507 , -1.9507023 ,-0.8743777 , 5.0220346 , 4.4525557 , 3.0789425 , 3.567525 , 1.142694 , -0.6016274 , 0.8162438 , 0.39270648, 7.590226 , -2.265852 , 0.24908264, -1.8506968 , 2.3867977 , -0.35229903, 0.22780067, -2.0359864 , 3.5617588 , -1.8114059 , 0.6413014 , 0.24592055, - 1.2108788 , -1.9091825 ], dtype=float32)}, dtype=object)

我想输出什么？

访问每个数组。例如

 '/file1/1.png': array([-2.880651 , -3.5033705 , 3.7906199 , -0.30735028, 1.7049406 , -2.4601865 , -2.432671 , 3.573076 , -0.66925764, -4.9513187 , 3.5004294 , -3.1082163 , -2.1569846 , -4.655545 , -2.6699617 , -2.0030148 , -2.5035274 , -2.0025814 , -0.37288237, -1.2053664 , -1.1685671 , 0.422138 , 0.5124443 , 0.7623316 , -0.8360331 , -1.1486149 , -5.092014 , 0.78394383, 1.6535784 , 1.4055651 , 2.8729122 , 1.0578096 , -2.6003664 , -4.1960926 , -2.3535116 , 0.46660176, -2.432323 , 1.2694867 , -4.972548 , 0.74941415, 1.3963044 , 3.5629773 , -2.4826858 , -1.5813217 , -1.4925203 , -1.4314067 , -1.7682784 , -2.3176155 , -1.5388411 , -1.4064139 , 1.3307506 , -2.1563005 , -4.100337 , -3.9060237 , 0.05410841, -1.2395332 , 2.4205167 , -0.9115535 , -2.096323 , -1.5538993 , -1.7992512 , 0.3886638 , -0.8848116 , -1.7380404 , -1.6939284 , -2.6846013 , -0.49933237, -0.03601296, -2.0352333 , -1.8516303 , -3.2491822 , 0.88307995, 1.3174123 , -2.4134717 , -0.78582317, 2.5116985 , -2.7801507 , -1.9507023 , -0.8743777 , 5.0220346 , 4.4525557 , 3.0789425 , 3.567525 , 1.142694 , -0.6016274 , 0.8162438 , 0.39270648, 7.590226 , -2.265852 , 0.24908264, -1.8506968 , 2.3867977 , -0.35229903, 0.22780067, -2.0359864 , 3.5617588 , -1.8114059 , 0.6413014 , 0.24592055, -1.2108788 , -1.9091825 ], dtype=float32)

编辑

for value,key in results['scores'].item():
    print(values)

ValueError：要解包的值太多（预期为 2）

但是，当我执行以下操作时

for value in results['scores'].item():  
    print(values)

它只打印键

/file4/4.png
/file3/3.png
/file2/2.png

谢谢

标签： python-3.xnumpy

Answer 1

感谢@hpaulj 的提示

keys=[]
vals=[]   
for value in results['scores'].item():


       key=value
       values=results['scores'].item()[value]
       keys.append(key)
       vals.append(values)
my_dic=dict(zip(keys,vals))