ValueError：使用序列python，numpy设置数组元素[重复]

Posted 2023-02-23

【中文标题】ValueError：使用序列python，numpy设置数组元素[重复]

【英文标题】：ValueError: setting an array element with a sequence python,numpy [duplicate]

【发布时间】：2018-05-09 05:30:44

【问题描述】：

我正在尝试学习 python。但这个错误让我很难过。如果有人知道这个错误，请告诉我为什么...... 代码是

data_vec = []
data_vec_sp = []
for i in range(0,len(data_ham)):
    for j in range(0,len(data_ham[i])):
       data_vec.append(np.ndarray.tolist(model.wv[data_ham[i][j]]))
for i in range(0,len(data_spam)):
    for j in range(0,len(data_spam[i])):
       data_vec_sp.append(np.ndarray.tolist(model.wv[data_spam[i][j]]))
lengths = []
for i in range(len(data_ham)):
    lengths.append(len(data_ham[i]))
lengths_sp = []
for i in range(len(data_spam)):
    lengths_sp.append(len(data_spam[i]))
max_seq=max(lengths+lengths_sp)

dataX = []
for i in range(len(lengths)):
    total = sum(lengths[:i])
    dataX.append(data_vec[total:total+lengths[i]])
dataY = []
for i in range(len(data_ham)):
    dataY.append([['0']])
for i in range(len(lengths_sp)):
    total = sum(lengths_sp[:i])
    dataX.append(data_vec[total:total+lengths_sp[i]])
for i in range(len(data_spam)):
    dataY.append([['1']])

processed = np.array(dataX,dtype = "f")
***Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ValueError: setting an array element with a sequence.***

dataX 是词向量 比如

数据X[0][0]= [-0.1615869700908661，-0.3353504538536072，-0.05911640822887421，0.2664419412612915，0.23376771807670593，0.013697666116058826，0.08846186846494675，0.023173419758677483，0.23772063851356506，0.003773996140807867，-0.1691707819700241，0.4130796790122986，-0.0094629917293787，0.2146264612674713，0.2039080709218979，0.09040140360593796，0.14459063112735748，-0.12667202949523926，0.33783870935440063，0.006472950801253319，0.26460835337638855，0.13737431168556213 ，0.04874108359217644，0.17068377137184143，-0.13585394620895386，0.1331317275762558，0.15738724172115326，0.32112088799476624，-0.5897336006164551，-0.21117675304412842，-0.07932453602552414，0.2983131408691406，-0.14773669838905334，-0.11435408890247345，0.013958614319562912，0.27606719732284546，-0.1857372522354126，-0.3181498646736145，0.671415388584137，-0.029171733185648918，-0.19198976457118988， - 0.24715560674667358, 0.20854316651821136, 0.10005248337984085, -0.2556343376636505, 0.1531827747821808, 0.023028111085295677, 0. 19538813829422，0.13868877291679382，0.20250250399112701，0.06268277019262314，0.08580871671438217，0.06232626363635063，-0.014056061394512653，0.0780516192317009，-0.24966590106487274，-0.013334897346794605，0.3877508044242859，0.09984628856182098，0.2474772036075592，-0.016906747594475746，-0.17072062194347382，0.10843656957149506，0.15756770968437195，0.06598909944295883，0.017902569845318794，-0.549013614654541，0.21266651153564453，0.031236575916409492， 0.050672244280576706，0.27269500494003296，-0.252864271402359，0.3161967992782593，-0.04220119118690491，0.10098162293434143，-0.45764288306236267，0.31370213627815247，0.3360774517059326，-0.21591132879257202，-0.20584052801132202，0.13033269345760345，0.2552568316459656，-0.15911956131458282，0.18036118149757385，-0.09493415802717209，-0.021795518696308136，0.3608446717262268，0.03977162763476372，-0.19157318770885468， - 0.24235652387142181，-0.1861632615327835，0.0054754409939050674，-0.3136100769042969，-0.0009150459081865847，- 0.11295150965452194, 0.29373738169670105, 0.09046965092420578, 0.18789909780025482, 0.32259559631347656, -0.10442658513784409]

【问题讨论】：

该错误通常意味着您的列表输入具有不符合二维（或 nd-）数组的形状。数组在 numpy 中总是矩形的：每一行的大小相同。检查您的嵌套列表是否包含每个嵌套级别的所有相同长度的列表。

【参考方案1】：

只看到Xdata 的一个元素并没有多大帮助，只是暗示它是一个三重嵌套列表。

我会尝试重新创建一些更简单的东西。请注意，有几个子列表更短：

In [371]: dataX=[[[1,2,3],[4,5,6]],[[1,2],[3,4]]]

与子列表不同np.array 创建一个对象数组：

In [372]: np.array(dataX)
Out[372]: 
array([[list([1, 2, 3]), list([4, 5, 6])],
       [list([1, 2]), list([3, 4])]], dtype=object)

如果我强制它创建一个数字数组，它会给出你的错误：

In [373]: np.array(dataX,dtype=int)
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-373-29c5879a94b0> in <module>()
----> 1 np.array(dataX,dtype=int)

ValueError: setting an array element with a sequence.