Radiant Earth Spot the Crop Hackathon by #ZindiWeekendz
'%3e%3cpath fill='%23001489' d='M0 0v6h9V0z'/%3e%3cpath fill='%23e03c31' d='M0 0v3h9V0z'/%3e%3cg stroke='%23fff' stroke-width='2'%3e%3cpath id='d' d='m0 0 4.5 3L0 6m4.5-3H9'/%3e%3cuse xlink:href='%23b' stroke='%23ffb81c' clip-path='url(%23c)'/%3e%3c/g%3e%3cuse xlink:href='%23d' fill='none' stroke='%23007749' stroke-width='1.2'/%3e%3c/g%3e%3c/svg%3e)
Helping South Africa
$300 USD
Challenge completed over 4 years ago
Classification
Earth Observation
81 joined
21 active
Start
Jul 02, 21
Close
Jul 04, 21
Reveal
Jul 04, 21
Dimension Eerror
Help · 3 Jul 2021, 22:32 · 9
X = np.append(X, X_tile,axis=0 -------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-28-13bb3597cf91> in <module>() 26 X_tile = np.append(X_tile, vh_array, axis = 1) 27 ---> 28 X = np.append(X, X_tile,axis=0)
<__array_function__ internals> in append(*args, **kwargs)
/usr/local/lib/python3.7/dist-packages/numpy/lib/function_base.py in append(arr, values, axis) 4669 values = ravel(values) 4670 axis = arr.ndim-1 -> 4671 return concatenate((arr, values), axis=axis) 4672 4673
<__array_function__ internals> in concatenate(*args, **kwargs)
ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 1 dimension(s) and the array at index 1 has 2 dimension(s)
Did you modify the value of n_obs? The shape of X depends on n_obs.
no, I didn't what is the optimal value to take !
I noticed a closing bracket missing in your initial worry. I will suggest inserting a break statement after X = np.append(X, X_tile, axis=0) so that we don't have to wait for long for all the data to be loaded and checking X.shape and X_tile.shape given that these two must be of the same number of columns for an append to work.
For an optimal n_obs, there is likely an optimal value which can likely be ascertained only via trial and error. To know the number of independent variables you have, I will suggest focusing on the shape X.shape[0] from the initialization X = np.empty((0, 2 * (n_obs - 1))
Edit
X,shape to X.shape
you can use all of them by optimizing the loading of tif files using apply functions and custom ones. But for your issue, you should look for the reason why you have one dimension in X instead of 2*(5-1)=8
yes the closing backet is not missing just I forget to copy it also I have initialize my n_obs=5 but it give me this error
Okay. What are your values for X.shape and X_tile.shape?
X shape= (0, 8) X_tile shape= (65536, 0)
The append error is logical. number of columns in X = 8 != 0 = number of columns in X_tile
X_tile is generated from vv_array and vh_array. Can you check the shapes of these two?
If you've not made several changes in your notebook, maybe getting a fresh notebook from this link will be best. Also, ensure that your MLHUB_API_KEY is active. It is possible you are not able to read any data, reason why X_tile has zero columns.