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Purab Aur Paschim telugu full movie hd 1080p in hindiQ: How do I insert a row before the last row in a numpy array I have a numpy array with a single column like so: input = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]) How can I insert a row at the beginning of the array like so: input = np.array([[0, 1, 2], [3, 4, 5], [6, 7, 8], [9, 10, 11]]) I've tried the insert method of numpy: input = np.insert(input, 0, np.array([0, 1, 2], dtype=np.int8)) However this errors out: ValueError: could not broadcast input array from shape (3,) into shape (0,) I've also tried using the append method of numpy: input = np.array([[0, 1, 2], [3, 4, 5], [6, 7, 8], [9, 10, 11]]) But this errors out: ValueError: setting an array element with a sequence. How can I insert a row at the beginning of an numpy array? A: You could use np.concatenate to join the 2 arrays together, and then use np.insert to insert the first row: >>> np.concatenate(([0]*3,input),axis=0) array([[ 0, 1, 2], [ 3, 4, 5], [ 6, 7, 8], [ 9, 10, 11]]) >>> np.insert(input, 0, np.array([0, 1, 2]), axis=0) array([[0, 1, 2], [3, 4, 5], [6, 7, 8], [9, 10, 11]]) If you only wanted to append to the array, you could do: >>> input = np.array([[

 

 

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