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I am trying to concatenate but ended up with the mentioned error. Am also new to python. 

def cving(x1, x2, x3, x4, x5, y1, y2, y3, y4, y5, ind1, ind2, ind3, ind4, ind5, num):

if num == 0:
    xwhole = np.concatenate((x2, x3, x4, x5), axis=0)
    yhol = np.concatenate((y2, y3, y4, y5), axis=0)
    return x1, y1, ind1, xwhole, yhol
elif num == 1:
    xwhole = np.concatenate((x1, x3, x4, x5), axis=0)
    yhol = np.concatenate((y1, y3, y4, y5), axis=0)
    return x2, y2, ind2, xwhole, yhol
elif num == 2:
    xwhole = np.concatenate((x1, x2, x4, x5), axis=0)
    yhol = np.concatenate((y1, y2, y4, y5), axis=0)
    return x3, y3, ind3, xwhole, yhol
elif num == 3:
    xwhole = np.concatenate((x1, x2, x3, x5), axis=0)
    yhol = np.concatenate((y1, y2, y3, y5), axis=0)
    return x4, y4, ind4, xwhole, yhol
else:
    xwhole = np.concatenate((x1, x2, x3, x4), axis=0)
    yhol = np.concatenate((y1, y2, y3, y4), axis=0)
    return x5, y5, ind5, xwhole, yhol

Here are some of the output of x1,x2,x3 and x4 *To show some of the output which is used for np.concantate

x1 = [[  1.21537030e+07   5.73132800e+06   1.39127063e-01 ...,   0.00000000e+00
0.00000000e+00   0.00000000e+00]
[  2.19181650e+07   6.31495600e+06   1.58992826e-01 ...,   0.00000000e+00
0.00000000e+00   0.00000000e+00]
[  9.35311000e+05   5.93920000e+05   1.40974499e-01 ...,   0.00000000e+00
0.00000000e+00   0.00000000e+00]]

x2= []

x3= []

x4 = [  1.11088300e+06   1.23238400e+06   1.32048109e-01   1.05878525e-01
9.01409788e-01   1.24716612e+00   7.22766415e-01   0.00000000e+00
0.00000000e+00   0.00000000e+00   0.00000000e+00   0.00000000e+00
0.00000000e+00   0.00000000e+00   0.00000000e+00   0.00000000e+00
0.00000000e+00   0.00000000e+00   0.00000000e+00   0.00000000e+00
0.00000000e+00   0.00000000e+00   0.00000000e+00   0.00000000e+00
0.00000000e+00   0.00000000e+00   1.15544472e-01   0.00000000e+00
0.00000000e+00   0.00000000e+00   0.00000000e+00   0.00000000e+00
1.54537898e-02   0.00000000e+00   0.00000000e+00   0.00000000e+00
0.00000000e+00   0.00000000e+00   0.00000000e+00   7.82815688e-01
1.13352981e-04   1.13352981e-04   0.00000000e+00   0.00000000e+00
8.52792262e-02   0.00000000e+00   0.00000000e+00   0.00000000e+00
0.00000000e+00   0.00000000e+00   0.00000000e+00   0.00000000e+00
0.00000000e+00   6.80117887e-04   0.00000000e+00   0.00000000e+00]
Muhamad Afiq Busari
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1 Answers1

2

The error message says it all: x1 is 2D while x4 is 1D. Concatenating these makes no sense. You need to make sure all concatenated arrays are of same dimension, e.g. by adding a dimension to all 1D arrays

x4 = x4[:, np.newaxis]
Nils Werner
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