ValueError：使用序列设置数组元素。 - 特征工程
[英]ValueError: setting an array element with a sequence. - feature engineering
问题描述
I have problem with feature converting, fitting to the model etc. I have a dataset which looks like this:
我在特征转换方面遇到问题，适合 model 等。我有一个如下所示的数据集：
>>>ar
array([[array([ 5.7055844e-05, 5.6061646e-05, 6.0333405e-06, ...,
-3.0670577e-05, 1.1646989e-07, 0.0000000e+00], dtype=float32),
array([1.1998704e-04, 1.6027575e-04, 3.8233120e-06, ..., 3.6795704e-05,
2.3338929e-05, 7.6700599e-05], dtype=float32),
array([ 2.9097323e-04, -4.8251706e-05, 2.1321949e-04, ...,
2.5432950e-04, 6.6656226e-05, 0.0000000e+00], dtype=float32),
array([ 0.00038439, 0.00024272, -0.00031127, ..., 0.00023522,
0.00063282, 0. ], dtype=float32),
array([0.00088874, 0.00092302, 0.00048189, ..., 0.00122693, 0.00102175,
0. ], dtype=float32)],
[array([ 6.221766e-05, 2.306384e-06, -6.101116e-06, ..., 8.874389e-04,
5.551182e-04, 0.000000e+00], dtype=float32),
array([ 7.5782154e-05, -2.6252441e-05, 4.9910428e-05, ...,
1.9935844e-04, 1.5705503e-03, 3.0954126e-03], dtype=float32),
array([ 7.5745847e-05, -5.8995029e-05, -6.2226703e-05, ...,
-2.1493966e-03, 2.2877045e-03, 0.0000000e+00], dtype=float32),
array([-1.5509137e-04, -1.5936996e-04, -7.3279851e-05, ...,
-2.4918776e-02, 1.2001377e-03, 0.0000000e+00], dtype=float32),
array([-2.50132987e-04, -5.18614776e-04, -2.32997467e-04, -3.67275206e-05,
1.26585364e-05, 1.10550085e-04, -5.04464842e-05, 3.20263207e-05,
-7.98436813e-05, -2.09790422e-04, 1.78190414e-04, -4.01495723e-04,
-2.13102205e-04, -7.10734166e-05, 4.74034110e-04, 4.26594401e-04,
-1.75702153e-04, -1.28350221e-05, 2.16045813e-03, -3.84856714e-04,
-2.80865468e-04, 2.75549944e-04, -1.46771781e-05, 8.44351016e-05,
-2.06105853e-03, -1.06880441e-03, 7.09715066e-04, 4.02938109e-04,
-3.59986676e-04, -5.27394935e-04, 1.58879929e-03, -1.15756760e-03,
-6.70766924e-04, 1.85540272e-03, -1.23383524e-03, -1.61758857e-03,
8.97027086e-04, 2.96453480e-03, -1.93061261e-03, -1.36286998e-03,
2.07643025e-04, -1.38311274e-03, -9.42107290e-04, 5.81716187e-04,
1.24940649e-04, 1.19656511e-03, -5.85947186e-04, 5.97115606e-04,
3.20665073e-03, -2.12744903e-03, 6.97748736e-04, -5.02344035e-03,
1.64076407e-03, -2.22343951e-05, 2.18477193e-03, -3.46983876e-03,
4.66891099e-04, -7.34810717e-04, 1.19082211e-03, 8.16369429e-04,
-2.84807221e-03, 2.44068913e-04, -1.13273179e-03, -1.73118152e-03,
-2.63306731e-03, 5.17322682e-04, 2.43354402e-03, -1.50706945e-03,
2.70615658e-03, -4.34206612e-03, 2.07528193e-03, -4.25983965e-03,
-4.61783493e-03, 2.00988445e-03, -3.05252383e-03, 1.80061348e-03,
-5.97684644e-04, -2.36076629e-03, -1.60181243e-03, -1.21151935e-03,
2.58965930e-03, -6.70618378e-04, 4.80818283e-03, -1.03705702e-03,
-1.69692608e-03, 4.74952161e-03, -3.20402998e-03, -2.11519655e-04,
8.73757992e-04, -7.50378706e-04, 3.99773940e-03, -4.07008594e-03,
-6.36700867e-03, -1.78676983e-03, 2.31163530e-03, -2.91620195e-03,
-5.08897938e-04, 2.04263069e-03, -5.44865616e-03, -4.39436641e-03,
-1.55351916e-03, 1.68799097e-03, 8.42185505e-03, -2.79698242e-03,
-5.69193624e-03, 1.53655023e-03, 3.26884910e-04, 4.20178706e-03,
2.69798562e-04, -4.63740854e-03, -1.25751318e-03, -4.05798806e-03,
3.68853379e-03, 3.29690846e-03, 5.80451312e-03, -1.97532251e-02,
3.26196514e-02, 8.89291242e-03, -2.96750776e-02, 3.95461060e-02,
-6.36415407e-02, 5.76118901e-02, 4.04214486e-02, -9.31732729e-02,
6.90592825e-02, -1.66388407e-01, 6.04402423e-02, 1.71747953e-01,
4.82762009e-02, -6.87708035e-02, -3.24255288e-01, 6.98793530e-02,
3.68833065e-01, 4.13520895e-02, -3.20972711e-01, -1.74792647e-01,
1.87005356e-01, 3.08820248e-01, -1.34279609e-01, -3.03122699e-01,
9.09794420e-02, 2.43173495e-01, 5.92027083e-02, -3.25963020e-01,
-1.12798467e-01, 3.04347306e-01, 1.43519044e-01, -1.71004295e-01,
-1.91612780e-01, 9.82110128e-02, 2.39094287e-01, -9.22856331e-02,
-2.26304114e-01, 4.54166122e-02, 2.07063109e-01, 6.92462921e-02,
-2.48372674e-01, -1.58505291e-01, 2.36576185e-01, 1.97758794e-01,
-1.06824934e-01, -2.76523232e-01, 1.59712583e-02, 3.07025552e-01,
2.78337467e-02, -2.65395224e-01, -1.19488716e-01, 2.22233802e-01,
2.51534253e-01, -2.10806549e-01, -3.07786852e-01, 1.06267899e-01,
3.32488060e-01, 9.97030139e-02, -3.87911439e-01, -2.01119781e-01,
3.45937312e-01, 2.62961626e-01, -2.06056654e-01, -4.02794898e-01,
1.32920593e-01, 4.81180549e-01, -8.11720341e-02, -4.55816567e-01,
4.08410057e-02, 4.80263859e-01, 8.62587094e-02, -5.59149921e-01,
-7.56996796e-02, 5.44718862e-01, 1.63853914e-02, -5.19803643e-01,
-8.96439999e-02, 4.72155362e-01, 7.06427246e-02, -5.85692346e-01,
-5.55855036e-03, 5.14727890e-01, -1.21071704e-01, -4.18954551e-01,
9.73793790e-02, 3.89468312e-01, -4.47207466e-02, -3.41185898e-01,
1.45066440e-01, 2.76421964e-01, -1.28082991e-01, -1.62615255e-01,
-2.03464143e-02, 1.35972962e-01, 6.59554601e-02, -1.65605530e-01,
-3.10047809e-02, 8.92451033e-02, 8.29221830e-02, -7.91712431e-04,
-1.38988763e-01, 2.97930576e-02, 6.59307688e-02, -1.76024660e-02,
-1.09338593e-02, -7.74183273e-02, 8.04429576e-02, 9.60687175e-02,
-8.09503272e-02, -4.87862267e-02, -5.00678495e-02, 8.69722664e-02,
8.67679566e-02, -1.00398287e-01, -1.28418123e-02, 2.89395452e-03,
5.11983447e-02, 3.69246975e-02, -1.21176258e-01, 1.59684103e-02,
3.37051377e-02, 4.15580012e-02, 3.32168825e-02, -1.13420740e-01,
2.27177851e-02, 2.77516264e-02, 8.81370157e-03, 3.42645161e-02,
-9.46949273e-02, 4.01373617e-02, 3.19624506e-02, -2.56682858e-02,
3.11362892e-02, -6.92124143e-02, 4.36176583e-02, 3.63851935e-02,
-5.84320650e-02, 2.71467548e-02, -2.99443714e-02, 2.09636781e-02,
4.54063565e-02, -7.01520741e-02, 1.24164559e-02, 4.01133411e-02,
-3.42765450e-02, 1.67909078e-02, 2.69384310e-03, -1.90617442e-02,
3.45125012e-02, -1.68765392e-02, -2.81561352e-02, 4.22924533e-02,
-2.35432759e-02, -2.26264764e-02, 4.21712212e-02, -2.90238485e-02,
-2.25337110e-02, 4.48567979e-02, -2.77324021e-02, -2.41328366e-02,
4.12657447e-02, -2.27341354e-02, -2.18422785e-02, 3.53548340e-02,
-1.71523653e-02, -1.89882126e-02, 2.85824873e-02, -6.79139979e-03,
-1.70115139e-02, 2.22209655e-02, 3.93654965e-03, -1.49501357e-02,
1.42174587e-02, 1.18631050e-02, -1.64353009e-02, 9.05312039e-03,
1.69982351e-02, -2.00802200e-02, 3.33764032e-03, 1.88018195e-02,
-2.35136170e-02, -4.61934321e-03, 1.24956146e-02, -1.38690770e-02,
9.09462944e-03, -2.82146819e-02, 2.75201611e-02, 6.26248047e-02,
-1.01863362e-01, 1.81588884e-02, 1.57127216e-01, -8.58612284e-02,
-1.46573275e-01, 7.87563175e-02, 1.71205059e-01, -7.79722854e-02,
-2.90408760e-01, 1.35055631e-01, 3.71433586e-01, -1.70644894e-01,
-3.58784139e-01, 1.78652942e-01, 3.55965972e-01, -9.95914340e-02,
-4.28143322e-01, 7.95025602e-02, 4.17419642e-01, -9.81241390e-02,
-3.72594714e-01, 1.35789871e-01, 3.36555243e-01, -6.46241009e-02,
-3.75851452e-01, 6.86504319e-02, 3.30352008e-01, -1.45331591e-01,
-3.02477956e-01, 2.25232974e-01, 2.55260646e-01, -1.72101319e-01,
-2.67332375e-01, 2.15480089e-01, 2.34768257e-01, -3.21559787e-01,
-1.77751005e-01, 3.57985348e-01, 8.12360048e-02, -3.49699885e-01,
4.62088585e-02, 2.96821952e-01, -3.62597480e-02, -3.73856962e-01,
2.07650796e-01, 2.85638869e-01, -3.07367265e-01, -1.38422057e-01,
3.16929817e-01, 3.29055712e-02, -3.05851638e-01, 4.18581367e-02,
2.07307860e-01, -3.65078114e-02, -2.08954334e-01, 1.15835510e-01,
1.89271718e-01, -1.35286346e-01, -1.14638656e-01, 7.95663893e-02,
5.47437221e-02, -6.44240528e-02, -1.07573435e-01, 1.13167986e-01,
1.28206640e-01, -1.30099058e-01, -1.16184503e-02, 1.20276898e-01,
-3.81765701e-02, -7.90693164e-02, -2.70698480e-02, 4.51746248e-02,
1.92476250e-02, -1.18132599e-01, 3.86589617e-02, 1.16285101e-01,
-9.48260278e-02, -1.96106099e-02, 1.01828828e-01, -1.97098553e-02,
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-8.85911658e-02, 3.57341580e-02, 7.91888759e-02, -1.18861064e-01,
5.57882525e-03, 1.15653321e-01, -8.74212310e-02, -2.68238895e-02,
9.43355635e-02, -2.69919820e-02, -3.36415134e-02, 1.66471377e-02,
2.62455866e-02, -4.70935926e-03, -7.45785683e-02, 4.11548913e-02,
5.44777364e-02, -1.31257221e-01, 2.53099538e-02, 1.14924289e-01,
-1.21428080e-01, -6.02243654e-03, 1.38502017e-01, -6.38436377e-02,
-3.50241177e-02, 9.00848061e-02, 5.49124554e-03, -4.80630361e-02,
-2.56355666e-02, 4.47334275e-02, -1.05943549e-02, -1.42408222e-01,
5.15210666e-02, 1.06665924e-01, -1.47660673e-01, 4.01523896e-02,
2.12673858e-01, -7.71741420e-02, -6.12733811e-02, 1.06302977e-01,
-2.54376754e-02, -1.54603511e-01, -5.85459322e-02, 1.23146340e-01,
1.47082470e-02, -1.59586176e-01, 1.47223681e-01, 1.78414449e-01,
-2.35620543e-01, -3.10197994e-02, 2.50577182e-01, -9.22670215e-02,
-2.04145253e-01, 1.01743147e-01, 1.51013002e-01, -1.27020359e-01,
-1.80627212e-01, 2.27126539e-01, 1.75529256e-01, -3.49577248e-01,
1.19479168e-02, 3.36663306e-01, -1.14458546e-01, -3.34890902e-01,
2.63799191e-01, 1.90024987e-01, -2.59989381e-01, -1.77681863e-01,
3.57965052e-01, 9.86060947e-02, -4.61537898e-01, 1.51881099e-01,
3.79338920e-01, -2.90652841e-01, -2.89060533e-01, 4.20831829e-01,
6.37636110e-02, -3.85212660e-01, 4.79663610e-02, 3.50061893e-01,
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-3.79774988e-01, -1.42223477e-01, 4.28902745e-01, -2.82620713e-02,
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3.77964452e-02, 2.98367262e-01, -8.39169398e-02, -2.36414492e-01,
-4.19931859e-03, 2.34851360e-01, 4.31912169e-02, -2.64063776e-01,
1.48633253e-02, 2.35992059e-01, -3.64842303e-02, -1.78246185e-01,
-6.52465373e-02, 2.08983392e-01, 1.12416089e-01, -2.34710529e-01,
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6.73087873e-03, 9.69599634e-02, -7.41875917e-02, -1.62758771e-02,
1.41532682e-02, 9.95931774e-03, 1.72637273e-02, -4.30863388e-02,
1.28485970e-02, 4.48457710e-02, -4.29849997e-02, -2.00955663e-02,
3.78854237e-02, -7.12108240e-03, -3.66795957e-02, 2.77334750e-02,
7.01829419e-03, -3.28536257e-02, 1.06194019e-02, 2.60431804e-02,
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2.40523033e-02, 7.60173798e-03, -2.12635901e-02, -1.24368062e-02,
3.83661427e-02, -1.78688932e-02, -1.57636795e-02, -1.96550414e-03,
3.53541672e-02, -2.05903277e-02, -2.09710989e-02, 1.60862952e-02,
2.68130824e-02, -2.42274478e-02, -2.06072163e-02, 2.70939320e-02,
1.78762749e-02, -2.62652058e-02, -1.47490688e-02, 2.62378734e-02,
1.74427014e-02, -2.72660442e-02, -1.16523486e-02, 2.18352843e-02,
1.91844087e-02, -2.54294984e-02, -1.09813483e-02, 1.41753731e-02,
2.07868051e-02, -1.85298640e-02, -1.31431762e-02, 3.19644064e-03,
2.00230144e-02, -8.18382949e-04, -1.83526725e-02, -3.85364145e-03,
1.39321564e-02, 1.74905844e-02, -2.29938179e-02, -1.33844493e-02,
1.04319956e-02, 2.18230672e-02, -9.47425328e-03, -2.24713329e-02,
5.67306578e-03, 1.95557773e-02, 4.95419279e-03, -2.78212968e-02,
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2.18595006e-03, 5.13797067e-03, 2.01915624e-03, -6.37395633e-03,
3.81602440e-04, 5.53910434e-03, 7.58023001e-04, -3.49271251e-03,
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9.13976692e-06, -1.11455983e-03, -2.30589882e-04, 1.19345146e-03,
2.59485096e-04, -6.63688872e-04, 4.95602144e-04, 9.58128134e-04,
3.46386252e-04, -1.36222050e-04, 7.16605282e-04, 1.13731471e-03,
4.50169202e-04, -3.92968534e-04, 1.86403748e-04, 9.41175502e-04,
5.59707172e-04, -3.00083775e-04, -2.67655123e-04, 6.44969288e-04,
4.70684841e-04, -4.27892897e-04, -6.00099098e-04, -5.20278700e-05,
3.01292166e-04, -2.94676982e-04, -6.63784798e-04, -1.32638030e-04,
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2.15548673e-04, 2.05652206e-04, -1.87302940e-05, -7.56068039e-05,
1.55997754e-04, 1.00156438e-04, 2.74268736e-04, -1.66838727e-05,
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1.59885436e-02, 1.13095902e-03, -4.66894098e-02, 7.03729168e-02,
3.34319053e-03, -9.57680419e-02, -1.59220323e-02, 1.09947830e-01,
7.11229593e-02, -3.58904600e-01, -3.69460136e-03, 4.89240706e-01,
4.90924120e-02, -4.85584021e-01, -2.78164834e-01, 4.12281632e-01,
5.14802694e-01, -3.31587344e-01, -5.41774273e-01, 9.10323858e-03,
5.19363999e-01, 3.57275188e-01, -4.36252058e-01, -4.65620637e-01,
5.02262563e-02, 4.40343499e-01, 3.53619635e-01, -3.12587500e-01,
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4.06718791e-01, 1.67589664e-01, -3.63002002e-01, -3.34372342e-01,
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7.44858608e-02, -7.74327740e-02, 5.60361966e-02, -3.00005041e-02,
5.30178472e-02, -3.54754627e-02, 0.00000000e+00], dtype=float32)],
[array([0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ..., 3.3131469e-06,
6.6249586e-06, 0.0000000e+00], dtype=float32),
array([0.000000e+00, 0.000000e+00, 0.000000e+00, ..., 5.227822e-07,
1.538771e-05, 0.000000e+00], dtype=float32),
array([ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,
-2.6937883e-07, 5.3038940e-07, 1.2766583e-06], dtype=float32),
array([ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,
-3.8248795e-06, 2.3548841e-07, 0.0000000e+00], dtype=float32),
array([ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,
-7.2961164e-08, 3.0179503e-06, 0.0000000e+00], dtype=float32)],
...,
[array([0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ..., 1.2345799e-08,
2.4837327e-08, 1.3832377e-08], dtype=float32),
array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,
-2.82872570e-09, -2.77558443e-09, -1.09714655e-08], dtype=float32),
array([ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,
3.7241577e-08, -4.1676298e-09, -1.2728313e-08], dtype=float32),
array([0.000000e+00, 0.000000e+00, 0.000000e+00, ..., 9.838445e-06,
3.879914e-08, 0.000000e+00], dtype=float32),
array([ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,
-7.0064502e-06, -1.9722158e-05, -6.1301275e-09], dtype=float32)],
[array([ 2.5779937e-04, 1.0548392e-06, -6.6729594e-04, ...,
-1.6059866e-04, -6.7526591e-05, -1.9883277e-04], dtype=float32),
array([ 6.1620097e-04, -2.2158129e-05, -1.0513534e-03, ...,
-1.4909299e-04, -3.9609952e-04, -4.4965284e-04], dtype=float32),
array([-2.7274038e-04, -1.1073833e-05, -4.9665722e-04, ...,
-1.1076126e-03, -1.1109968e-03, -8.4117200e-04], dtype=float32),
array([ 1.2765429e-04, -3.7662860e-05, -8.3870196e-05, ...,
-2.7233390e-03, -3.5623512e-03, -2.5052326e-03], dtype=float32),
array([ 0.00020289, -0.00021641, 0.0001531 , ..., 0.00870614,
-0.00944865, 0. ], dtype=float32)],
[array([7.25149512e-05, 2.05900105e-05, 1.46045295e-05, ...,
7.75771186e-05, 2.18211499e-05, 2.15153545e-04], dtype=float32),
array([ 1.5750047e-05, 1.6520382e-05, 5.6520566e-06, ...,
-2.4987152e-05, 3.5073876e-04, 2.9498199e-04], dtype=float32),
array([-2.0367588e-05, -3.3011729e-05, -2.6642403e-05, ...,
-4.0776699e-04, -2.0840520e-04, 3.5939045e-04], dtype=float32),
array([-1.7277009e-04, -1.5671067e-04, -1.3649010e-04, ...,
-6.7962799e-05, -1.1087395e-03, 0.0000000e+00], dtype=float32),
array([-0.00048375, -0.00034697, -0.00032095, ..., 0.00035163,
-0.0002359 , 0. ], dtype=float32)]], dtype=object)
As you see each array element consists of another array with float elements.如您所见，每个数组元素都由另一个带有浮点元素的数组组成。 The shape of that whole array is (5252, 5).整个数组的形状是 (5252, 5)。 I want that to manipulate that data for example fitting model, concatenate to another array, but when I'm trying it:我希望它来操纵该数据，例如拟合 model，连接到另一个数组，但是当我尝试它时：
def calculate_statistics(list_values):
n5 = np.nanpercentile(list_values, 5)
n25 = np.nanpercentile(list_values, 25)
n75 = np.nanpercentile(list_values, 75)
n95 = np.nanpercentile(list_values, 95)
median = np.nanpercentile(list_values, 50)
mean = np.nanmean(list_values)
std = np.nanstd(list_values)
var = np.nanvar(list_values)
rms = np.nanmean(np.sqrt(list_values**2))
return [n5, n25, n75, n95, median, mean, std, var, rms]
def calculate_crossings(list_values):
zero_crossing_indices = np.nonzero(np.diff(np.array(list_values) > 0))[0]
no_zero_crossings = len(zero_crossing_indices)
mean_crossing_indices = np.nonzero(np.diff(np.array(list_values) > np.nanmean(list_values)))[0]
no_mean_crossings = len(mean_crossing_indices)
return [no_zero_crossings, no_mean_crossings]
def get_features(list_values):
#entropy = calculate_entropy(list_values)
crossings = calculate_crossings(list_values)
statistics = calculate_statistics(list_values)
return statistics +crossings
def convert(array1, array2):
for x in range (0, array1.shape[0]):
for y in range (0, array2.shape[1]):
array2[x][y] = get_features(array1[x][y])
ar_ed = np.zeros((5252, 5), dtype=float)
convert(ar, ar_ed)
"ar" is elaborated array, ar_ed is target array which should be possible to fit in model. “ar”是详细数组，ar_ed 是目标数组，应该可以适合 model。 I have an error:我有一个错误：
ValueError: setting an array element with a sequence.
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
TypeError: float() argument must be a string or a number, not 'list'
The above exception was the direct cause of the following exception:
ValueError Traceback (most recent call last)
<ipython-input-61-23e774aa76cb> in <module>
----> 1 convert(ar, ar_ed)
<ipython-input-59-661bbbd7b7c2> in convert(array1, array2)
2 for x in range (0, 5):
3 for y in range (0, 5):
----> 4 array2[x][y] = get_features(array1[x][y])
ValueError: setting an array element with a sequence.
How can I fix it?我该如何解决？
1 个解决方案
解决方案1
0 已采纳 2021-04-10 09:01:55
Ok, I know what I did wrong.好吧，我知道我做错了什么。 Before all the operations I convert again my dataset to numpy array, so functions and the rest could work on data because they weren't a list.在所有操作之前，我再次将我的数据集转换为 numpy 数组，因此函数和 rest 可以处理数据，因为它们不是列表。
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