IndexError: tuple index out of range when running python 3.9.1

Question

Error while running my codes dataset_total = pd.concat((dataset['Open'], dataset_test['Open']), axis = 0) inputs = dataset_total[len(dataset_total) - len(dataset_test) - 60:].values inputs = inputs.reshape(-1,1) inputs = sc.transform(inputs) X_test = [] for i in range(60, 80): X_test.append(inputs[i-60:i, 0]) X_test = np.array(X_test) X_test = np.reshape(X_test, (X_test.shape[0], X_test.shape[1], 1)) predicted_forex_price = regressor.predict(X_test) predicted_forex_price = sc.inverse_transform(predicted_forex_price) The results are : /usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:8: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray --------------------------------------------------------------------------- IndexError Traceback (most recent call last) in () 7 X_test.append(inputs[i-60:i, 0]) 8 X_test = np.array(X_test) ----> 9 X_test = np.reshape(X_test, (X_test.shape[0], X_test.shape[1], 1)) 10 predicted_forex_price = regressor.predict(X_test) 11 predicted_forex_price = sc.inverse_transform(predicted_forex_price) IndexError: tuple index out of range

jakevdp · Answer

Your slices are not the same length, so X_test is not a 2-dimensional array, but rather a 1D array, each entry of which is an array with inconsistent shapes.

Here's a demonstration of the issue using a smaller array for convenience:

inputs = np.arange(3)
X_test = [inputs[i:i + 2] for i in range(3)]

print(X_test)
# [array([0, 1]), array([1, 2]), array([2])]

X_test = np.array(X_test)
print(X_test)
# [array([0, 1]) array([1, 2]) array([2])]

np.reshape(X_test, (X_test.shape[0], X_test.shape[1], 1))
# ---------------------------------------------------------------------------
# IndexError                                Traceback (most recent call last)
# <ipython-input-21-769dc2c0479b> in <module>()
#       6 print(X_test)
#       7 # [array([0, 1]) array([1, 2]) array([2])]
# ----> 8 np.reshape(X_test, (X_test.shape[0], X_test.shape[1], 1))

# IndexError: tuple index out of range

To fix this, you need to ensure that your original construction of X_test contains subsets of the input that are all the same length. For example:

X_test = [inputs[i:i + 2] for i in range(2)]
X_test = np.array(X_test)
np.reshape(X_test, (X_test.shape[0], X_test.shape[1], 1))
# array([[[0],
#         [1]],

#        [[1],
#         [2]]])

IndexError: tuple index out of range when running python 3.9.1

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