I can take the first element of this array to manually convert it to a 1D array: b = np.reshape(a, (1,np.product(a.shape)))[0] but this requires me to know how many dimensions the original …

Sep 25, 2012 · I want to convert a 1-dimensional array into a 2-dimensional array by specifying the number of columns in the 2D array. Something that would work like this: > import numpy …

May 11, 2011 · In case of 1D numpy array (rank-1 array) the shape and strides are 1-element tuples and cannot be swapped, and the transpose of such an 1D array returns it unchanged. …

Hi, Thanks for the answer. This is the way I tried the first time, but may be I was not able to explain my question properly. The plot it draws is a continuous lines made by connecting …

Oct 3, 2009 · @AndersonGreen As I said there's no such thing as a variable declaration in Python. You would create a multidimensional list by taking an empty list and putting other lists …

Late response and just for the record. You can partition a 1D array using Ckmeans.1d.dp. This method guarantees optimality and it is O(n^2), where n is the num of observations. The …

When growing an array for a significant amount of samples it would be better to either pre-allocate the array (if the total size is known) or to append to a list and convert to an array afterward. …

There are several possibilities for concatenating 1D arrays, e.g., import numpy as np np.r_[a, a] np.stack([a, a]).reshape(-1) np.hstack([a, a]) np.concatenate([a, a])

Oct 29, 2022 · If what you are interested is that the flatten array still prints in 3 lines, well, no. You can see here that people who want to do that start with the exact reverse operation: reshape …

If you wish to combine two 10 element one-dimensional arrays into a two-dimensional array, np.vstack((tp, fp)).T will do it. np.vstack((tp, fp)) will return an array of shape (2, 10), and the T …