I have two arrays with axis=0 (there are the result of the mean and the std of a df):
df_cats =
0 58.609619
1 105.926514
2 76.706543
3 75.405762
4 68.937744
...
75 113.124268
76 125.557373
77 130.514893
78 141.373779
79 109.185791
Length: 80, dtype: float64 0 63.540835
1 55.053429
2 96.221076
3 42.963771
4 57.447924
...
75 42.080755
76 55.309517
77 38.997856
78 57.364695
79 40.197461
Length: 80, dtype: float64
df_dogs =
0 86.870361
1 153.085205
2 89.576416
3 139.721924
4 107.218750
...
75 129.498291
76 108.676025
77 113.125732
78 145.829346
79 100.272461
Length: 80, dtype: float64 0 57.699218
1 71.814790
2 40.130439
3 44.966932
4 48.964512
...
75 50.994298
76 58.257198
77 89.240987
78 58.945353
79 68.841721
Length: 80, dtype: float64
And I'm trying to concatenate the two arrays with axis=1, using this code:
dogs_and_cats = np.concatenate((df_dogs, df_cats), axis=1)
but always have this problem:
**ValueError:** zero-dimensional arrays cannot be concatenated
How can i can concatenate that?
One dimensionnal arrays don't have a second dimension. This is where your problem comes from. You can concatenate by modifying the shape of these arrays to turn them into 2D arrays with only one column with the following code :
df_dogs.shape=(df_dogs.shape[0],1)
df_cats.shape=(df_cats.shape[0],1)
And now, you can concatenate your arrays.