np.interp 在脚本中失败 - 但在独立测试中没有？ （ValueError：object 所需数组的深度太小）

Question

I have a Python3 script that I run on Raspbian:

$ python3 --version
Python 3.5.3

$ python3 -c 'import numpy; print(numpy.__version__)'
1.12.1

So, this script is kind of long, but it has this section:

...
      if DO_LOOKUP==True:
        print("my_X_point {} this_X_data.ndim/.shape/.size {}/{}/{} this_Y_data.ndim/.shape/.size {}/{}/{}".format(my_X_point, this_X_data.ndim, this_X_data.shape, this_X_data.size, this_Y_data.ndim, this_Y_data.shape, this_Y_data.size))
        my_Y_point = np.interp(my_X_point, this_X_data, this_Y_data)
      else:
...

So, when I run the script, the code crashes at the np.interp line with:

...
my_X_point 0.03 this_X_data.ndim/.shape/.size 1/(821,)/821 this_Y_data.ndim/.shape/.size 1/(821,)/821
Traceback (most recent call last):
  File "my_logger_script.py", line 698, in run
  ...
  File "/home/pi/lib_logger_script.py", line 1145, in check_logged_points
    my_Y_point = np.interp(my_X_point, this_X_data, this_Y_data)
  File "/usr/lib/python3/dist-packages/numpy/lib/function_base.py", line 1881, in interp
    return interp_func(x, xp, fp, left, right)
ValueError: object of too small depth for desired array

Ok, so I find Numpy: ValueError: object of too small depth for desired array which seemingly talks about this problem - so I think: "OK, let me save those two numpy arrays ( this_X_data , this_Y_data ) to file, then open a standalone instance of Python, and load them there, so I can see what the problem is". So, I do this hack:

...
      if DO_LOOKUP==True:
        print("my_X_point {} this_X_data.ndim/.shape/.size {}/{}/{} this_Y_data.ndim/.shape/.size {}/{}/{}".format(my_X_point, this_X_data.ndim, this_X_data.shape, this_X_data.size, this_Y_data.ndim, this_Y_data.shape, this_Y_data.size))
        # debug save of these arrays
        with open('this_X_data.npy', 'wb') as f:
          np.save(f, this_X_data)
        with open('this_Y_data.npy', 'wb') as f:
          np.save(f, this_Y_data)
        my_Y_point = np.interp(my_X_point, this_X_data, this_Y_data)
      else:
...

Right - so the code crashes at the exact same line, but now I have this_X_data.npy and this_Y_data.npy files.

So I start a terminal Python3 session, and do this:

$ python3
Python 3.5.3 (default, Jul  9 2020, 13:00:10)
[GCC 6.3.0 20170516] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
>>> with open('this_X_data.npy', 'rb') as f: this_X_data = np.load(f)
...
>>> with open('this_Y_data.npy', 'rb') as f: this_Y_data = np.load(f)
...
>>> my_X_point=0.03
>>> np.interp(my_X_point, this_X_data, this_Y_data)
3.0728648

WHAT?, So, we have the exactly same Python, exactly same numpy, and the very same data - and yet, here in a session, the np.interp succeeds - but when it runs in a script, it fails with ValueError: object of too small depth for desired array ??!!

Can anyone explain me what is going on, and how is this possible? And even more importantly, how can I get the np.interp in the code to work just as well as in the terminal session - without crashing?

---

PS: You'd probably want to see the.npy files as well; these are binary, and Stack Overflow does not support file upload ; but they are kinda smallish - and I think binary-to-text encoding will work here.

So, I obtained an ascii85 string representation of the files with:

python3 -c 'import sys,base64; f=open(sys.argv[1], "rb"); print(base64.a85encode(f.read()).decode("ascii")); f.close()' this_X_data.npy
python3 -c 'import sys,base64; f=open(sys.argv[1], "rb"); print(base64.a85encode(f.read()).decode("ascii")); f.close()' this_Y_data.npy

... and I'm pasting them here:

this_X_data.npy.a85 :

P>5+P:g!f!7K@c_A7]glE[Nmj-Tl!#-S-AfAoD^3Ea`imDfTB"E[Nmj7U^+SALnrOF(f!$ALBM]-o`t:/1E+mI39XT+<VdL+<Vd6AnGXeAnI/iAnGXeAnI/ic-4DUbfl/5c-4DUbfl26c-4DUbfl26c-4DUbfl26c-4DUbfl26z!!&0HR[KS3R@01%AnGXeAnI/iz!!&3Ic-4DUbfl26c-4DUbfl57R[KS3R@01%1G^gC1Gb1Yz!!&-Gz!!&0Hc-4DUbfl/51G^gC1Gb4ZR[KS3R@01%z!!&3Iz!!&-GAnGXeAnI2j1G^gC1Gb7[1G^gC1Gb1Yc-4DUbfl)3R[KS3R@01%z!!&-GR[KS3R@01%R[KS3R@01%AnGXeAnI/iz!!&0H1G^gC1Gb.XAnGXeAnI/ic-4DUbfl57z!!&0Hc-4DUbfl57AnGXeAnI/i1G^gC1Gb+WR[KS3R@01%R[KS3R@01%c-4DUbfl26c-4DUbfl/5z!!&-GAnGXeAnI/iz!!&0H1G^gC1Gb.Xz!!&0Hz!!&-GAnGXeAnI5kc-4DUbfl57z!!&*FAnGXeAnI/iR[KS3R@01%AnGXeAnI8lz!!&-Gz!!&-GR[KS3R@07'AnGXeAnI2jAnGXeAnI2j1G^gC1Gb1YR[KS3R@01%z!!&0Hz!!&3IR[KS3R@01%AnGXeAnI2jAnGXeAnI2jAnGXeAnI/iAnGXeAnI8lAnGXeAnI,hR[KS3R@04&R[KS3R@0.$z!!&0Hz!!&0HR[KS3R@04&1G^gC1Gb+W1G^gC1Gb4Zz!!&-GR[KS3R@01%AnGXeAnI/iAnGXeAnI/iR[KS3R@04&AnGXeAnI,hAnGXeAnI5kAnGXeAnI2j1G^gC1Gb.Xz!!&-GAnGXeAnI5k1G^gC1Gb.Xc-4DUbfl26R[KS3R@07'1G^gC1Gb7[AnGXeAnI,hz!!&3Iz!!&*F1G^gC1Gb.Xc-4DUbfl57R[KS3R@04&R[KS3R@01%1G^gC1Gb.XR[KS3R@04&z!!&3IAnGXeAnI/iAnGXeAnI/i1G^gC1Gb4Z1G^gC1Gb1Y1G^gC1Gb1Yz!!&3Ic-4DUbfl88c-4DUbfl26c-4DUbfl261G^gC1Gb=]1G^gC1Gb7[z!!&6Jz!!&<LR[KS3R@0=)1G^gC1Gb@^R[KS3R@0C+c-4DUbflA;R[KS3R@0L.c-4DUbflM?c-4DUbflYCc-4DUbY4ZoR[KS3R@0[3z!!&l\c-4DUbY4itAnGXeB'-$Vz!!',cz!5Pg'AnGXeAu;n!1G^gC1NTrg1G^gC1NU#iAnGXeB'-]iAnGXeAnJhCz!._sOR[KS3R5r;P1G^gC1D@qrR[KS3RJG/nc-4DUbhUT1R[KS3R5re^AnGXeAiA:+AnGXeB'.i4AnGXeB#`^mR[KS3R5*\cR[KS3R??PpR[KS3R5sFpAnGXeAhN@5c-4DUbS9G/z!)W/Lc-4DUbXD"dR[KS3R;MR\R[KS3RAomE1G^gC1B[G;AnGXeApX>=AnGXeB(#U^AnGXeAlJaq1G^gC1VEfSc-4DUbWGtmc-4DUbf0cN1G^gC1Kt&Kc-4DUbk)-*c-4DUbao,+R[KS3R7RcOz!!Wlt1G^gC1Wp7nz!)X:mAnGXeAk3M!AnGXeAk3P"AnGXeAlKF/z!,E96c-4DUb^C3kAnGXeAr@EiR[KS3RALccR[KS3RDB_*c-4DUbi0L*z!"Kr5AnGXeAh4oeAnGXeAm69@R[KS3R=-,Az!4X+9AnGXek&VY1z!$EFMz!6HBLc-4DUb\eUiz!"pMAc-4DU9YDZ9R[KS3R:[^0AnGXejr5U3z!6-<MzJ:&\/AnGXeAg8ZgAnGXek0k\Cz!/;mec-4DUbVpt9c-4DU9^aDqR[KS3)5AZHAnGXek$oo,1G^gC1Ee;7c-4DUbht$;R[KS3)4rKG1G^gCZXb[Rc-4DU9IDJY1G^gCZgKJ3c-4DUbZcbdz5f#->c-4DUbTAQ)1G^gCo7Jb_1G^gCoBS+rAnGXeAkk*HAnGXeVR\HIz5U\ERzJ<huVc-4DU9E?t8AnGXe->GA&c-4DU9\D6fAnGXeVEZq'c-4DUbcEZec-4DU9HH)Wc-4DU9SYMkAnGXeVYW29AnGXek$U,51G^gCo@5cb1G^gCF$_iOc-4DU9Y`VQc-4DUbUtn@AnGXeVQ2^Bc-4DU9GffUc-4DUb`k.RAnGXeAd:C_c-4DU%#$c.1G^gCEr\<fAnGXek&WXMc-4DU9^t51c-4DU9P6LRz_!X?Nc-4DUb[s%(R[KS3g$Lsg1G^gCF(IR$R[KS3)=TjUAnGXe7Pd:pR[KS3R<1\ZAnGXek-I<<c-4DUD"g1[c-4DUCbn@BAnGXe`csd7c-4DU9XmARAnGXe`WAIlAnGXeL-S'jR[KS3\VEL:1G^gC1W_sKR[KS3R1;SLz^fNlgz@$a5Gz!80_)c-4DU9Hlki1G^gCZXuTjAnGXe7^>EIAnGXe7f>_?AnGXeL-%ghAnGXeL5A>aR[KS3H-A]BR[KS3GoB.;c-4DU/7V.7AnGXe`hu9kz+SJ8iAnGXe#!5=?R[KS3=cQ!;c-4DUN7LKac-4DUlm#%dz!-:[rc-4DU9Y<n]1G^gCZO9>i1G^gCo2/(EAnGXeAsu:Vc-4DU9[QEs1G^gCEudk<R[KS3=_^Poc-4DU9Ya7c1G^gCo*n>XAnGXek$(JDc-4DU%'</fc-4DUbQ(=%z!)6-Pz!1uqMR[KS3)>d)mAnGXeAjoEZzJ=K>!c-4DUN:0J+AnGXe-;.*!R[KS3)44/azJF-)sc-4DUbXbMpAnGXe-C.FmR[KS3RIF!;1G^gCo-I3u1G^gC;bp4Tc-4DUXF<u2R[KS3)5^4qAnGXeL=K*cc-4DUD#I0qz^b&DKAnGXeL0%5;z^kP]O1G^gCZa3Loc-4DUm,Cl-z?k-("R[KS3ffW.tz?uAk-1G^gCPFGH8AnGXe#00V,1G^gCPPe<DR[KS3)(SWNc-4DUCfaP#c-4DU9T)h7AnGXeL::)HR[KS3RHIL61G^gC;]A\$1G^gC;b0kQc-4DUXF*u4z+Kna0c-4DUbhQ/_z?k?='1G^gCo0HAA1G^gC'67)<AnGXeVQ3]^1G^gCPM&r$R[KS3Gn*k?c-4DU9L`&Jc-4DUN-\Mi1G^gC1T=D?R[KS3=lECHc-4DU9GU\p1G^gCdmmJ)AnGXeL4E>jc-4DUXL_Iuz@-L`Xz5TX#mAnGXek#tkPR[KS33K7-+R[KS33Q"raR[KS3H2C]/AnGXeAiEjX1G^gC;eK5uAnGXek+>dAR[KS3\_L=Qz!$k`5z!*38gR[KS3fp,`+AnGXeVTr@1AnGXeV?'mdz5XSa@c-4DU%!u2DAnGXeVQsDkz!:<uUR[KS3=XdT@AnGXeAnP@6z^nk:$c-4DU%,+rO1G^gCZPQn4zJ6ZAFz!17%W1G^gCF3n2X1G^gCo*eqj1G^gC1JqIDR[KS3R>>07AnGXeVT`@3R[KS3=Ue_'zJ4a06z5_i]3c-4DU9Z^X,R[KS3)$OD5AnGXeL*9qiAnGXeVF=lXR[KS3fj\>SAnGXe#)$ALR[KS3fr&4CR[KS3)9#uKc-4DUD!,1kc-4DUlj@/dR[KS3)(f8^1G^gCF%]q,1G^gCF)#,K1G^gC'96KdR[KS3RBL$aAnGXeVUT$>1G^gC'DGp#R[KS3q%[@(z+?a1!AnGXek$MR_c-4DUN.,5$1G^gCF/NJ4c-4DUbf4*Wc-4DU/F6h2R[KS3faqXY1G^gC1GrZ-1G^gCP?DB\R[KS3H$NmbAnGXeAtrj$z+N7hUz_!5Dpc-4DUC^jo?1G^gCP;6Z6c-4DU/6l^Nz@"2]PAnGXeAuK6*AnGXe7`]+*R[KS3H1GK2c-4DUN##ti1G^gCF#mktAnGXe#%hF3z!+9A'z!.\WGz!2*mgz!5N/2z!8qERz!$Gl=z!'k-]z!+9D(z!.\ZHz!5N23z!8qHSz!!$Xsc-4DUbWKN'z!+9G)z!.\]Iz!2*si1G^gC1W*ijz!!$[tz!$Gr?z!+9J*z!.\`Jz!2+!jAnGXeB#\LLz!!$^uz!$Gu@R[KS3R7V*Xz!.\cKz!2+$kz!5N;6z!!$b!z!$H#A1G^gC1K/$Rz!.\fLz!2+'lz!8qTWz!!$e"1G^gC1F$[#z!+9S-z!.\iMz!5NA8z!8qWXz!$H)Cz!'k?cR[KS3R;$J&z!2+-nz!5ND9z!!$k$R[KS3R42u<z!+9Y/z!2+0oz!5NG:z!8q]Zz!$H/Ez!+9\0z!.\rPAnGXeAu9H2z!8q`[z!$H2Fz!'kHfz!.\uQz!2+6qz!8qc\R[KS3R0dgtz!$H5Gz!'kKgz!)RW"z!,umBR[KS3R=T<Bz!2+9rz!5NP=z!75[Mz!:Xqmz!"a-8z!$H8Hz!'kNhz!+9e3R[KS3R;m43z!0D1cz!3gH.z!6B.Fz!8qi^c-4DUbkuHG1G^gC1E1@"z!&/FYz!)R]$z!,usDR[KS3R>GrLz!2+?tz!5NV?z!8ql_z!!%(*1G^gC1D=gpAnGXeAi=]qz!)R`%z!-!!Ez!0D7eR[KS3RAk6mc-4DUbfk,nz!8qo`R[KS3R/qCpz!$HAKz!'kWkz!+9n61G^gC1OF4/1G^gC1RiJOAnGXeB"i@PR[KS3RF-+AAnGXeB(g=3z!"a9<z!&/O\R[KS3R8J)lz!-!'G1G^gC1QurHz!3gT2z!75jRz!:Y+rz!"a<=z!&/R]z!)Ri(R[KS3R;mC8z!0D@h1G^gC1UD6iz!75mSz!:Y.sz!"a?>AnGXeAj1E(c-4DUbZ&dOAnGXeAp/A`z!2+O$z!5NeDz!8r&dR[KS3R/qOtz!$HMOz!(_?"R[KS3R:1>*z!0DFj1G^gC1TPacR[KS3RF-7Ec-4DUbk--FAnGXeAeoYWc-4DUbVXT1z!+:(;z!.]>[z!2t0.AnGXeB#]*]z!:Y8!c-4DUbS5@g1G^gC1Ga>B1G^gC1L#/jAnGXeAq#%kR[KS3RA"pl1G^gC1Wt)0c-4DUbj9X@c-4DUb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this_Y_data.npy.a85 :

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So, just triple-click in the contents above to select all, then copy, then paste in a new file in your text editor, then save as the files named above somewhere on your system; then, in that directory, do:

$ python3 -c 'import sys,base64; f=open(sys.argv[1], "rt"); fo=open(sys.argv[2], "wb"); fo.write(base64.a85decode(f.read())); f.close(); fo.close' this_X_data.npy.a85 this_X_data.npy

$ python3 -c 'import sys,base64; f=open(sys.argv[1], "rt"); fo=open(sys.argv[2], "wb"); fo.write(base64.a85decode(f.read())); f.close(); fo.close' this_Y_data.npy.a85 this_Y_data.npy

... and then you can do the terminal session test as I did above - here are just the commands for easier copy/pasting (two line endings after the with... lines are deliberate, so you can paste the whole snippet in the Python interpreter, without it choking with syntax error):

import numpy as np
with open('this_X_data.npy', 'rb') as f: this_X_data = np.load(f)

with open('this_Y_data.npy', 'rb') as f: this_Y_data = np.load(f)

my_X_point=0.03
print( np.interp(my_X_point, this_X_data, this_Y_data) )

Answer 1

Well, you know what they say, in the ancient saying: "if the array arguments of np.interp look fine, then it must be third one that causes trouble"; and indeed it is - turns out, the my_X_point in the original script is not set explicitly to my_X_point=0.03 as in the tests in the OP (which would make it a float) - instead it comes in from argparse, and it is a string (which I found by adding another printout of type(my_X_point) .

So then I did this test on the Raspbian Python:

$ python3
Python 3.5.3 (default, Jul  9 2020, 13:00:10) [GCC 6.3.0 20170516] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
>>> with open('this_X_data.npy', 'rb') as f: this_X_data = np.load(f)
...
>>> with open('this_Y_data.npy', 'rb') as f: this_Y_data = np.load(f)
...
>>> np.interp(0.03, this_X_data, this_Y_data)
3.0728648
>>> np.interp("0.03", this_X_data, this_Y_data)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/lib/python3/dist-packages/numpy/lib/function_base.py", line 1881, in interp
    return interp_func(x, xp, fp, left, right)
ValueError: object of too small depth for desired array

>>> np.__version__
'1.12.1'

Eh, finally, it makes sense which "object" is "of too small depth for desired array", and why it is so - it is a string, instead of a number!

Though, note, this seems to not be an issue on my Windows MINGW64 Python 3.8.5:

$ python3
Python 3.8.5 (default, Sep  7 2020, 18:26:56)  [GCC 10.2.0 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
import numpy as np
with open('this_X_data.npy', 'rb') as f: this_X_data = np.load(f)
... int=0.03
...
with open('this_Y_data.npy', 'rb') as f: this_Y_data = np.load(f)
...
>>> np.interp("0.03", this_X_data, this_Y_data)
3.0728648

So, one solution for the original script code, is simply to cast this string to float:

        my_Y_point = np.interp( float(my_X_point), this_X_data, this_Y_data)

... and things start working again! :)