Linked Questions

How can I get the unique arrays from such a list below? data =[np.array([ 10, 17]), np.array([ 10, 17]), np.array([ 1, 17, 34]), np.array([ 1, 17, 34]), np.array([ 20, 50, ...

I have a numpy matrix representing a map of XY coordinates: n = [[0,0],[2,5],[3,1]] Each coordinate is connected to a number of other coordinates, for example: [0,0]:[5,2],[3,7] [2,5]:[1,4] [3,1]:[3,...

How do we decide on the best implementation of hashCode() method for a collection (assuming that equals method has been overridden correctly) ?

I've implemented a BloomFilter in python 3.3, and got different results every session. Drilling down this weird behavior got me to the internal hash() function - it returns different hash values for ...

My goal is to get unique hash value for a DataFrame. I obtain it out of .csv file. Whole point is to get the same hash each time I call hash() on it. My idea was that I create the function def ...

Implementing a system where, when it comes to the heavy mathematical lifting, I want to do as little as possible. I'm aware that there are issues with memoisation with numpy objects, and as such ...

I have 2 fixed width files like below (only change is Date value starting at position 14). sample_hash1.txt GOKULKRISHNA 04/17/2018 ABCDEFGHIJKL 04/17/2018 111111111111 04/17/2018 sample_hash2.txt ...

One way to make a numpy array hashable is setting it to read-only. This has worked for me in the past. But when I use such a numpy array in a tuple, the whole tuple is no longer hashable, which I do ...

I have an ordinary Python list that contains (multidimensional) numPy arrays, all of the same shape and with the same number of values. Some of the arrays in the list are duplicates of earlier ones. ...

I have a class A with three attributes a,b,c, where a is calculated from b and c (but this is expensive). Moreover, attributes b and c are likely to change over times. I want to make sure that: a is ...

Is there a way to represent a 3D Vector as a definite number? I mean that two vectors with different values can't ever have the same hash value. I'm sure there already is a question about this but I ...

What I'm trying to do is provide a GUI for displaying some numpy arrays, and wire up IPython so you can manipulate the data however you like. I have all the IPython stuff working, the problem is how ...

In python/numpy, I have a 10,000x10,000 array named random_matrix. I use md5 to compute the hash for str(random_matrix) and for random_matrix itself. It takes 0.00754404067993 seconds on the string ...

I want to hash numpy arrays without copying the data into a bytearray first. Specifically, I have a contiguous read-only two-dimensional int64 numpy array A with unique rows. To be concrete, let's ...

I encountered a strange behavior of np.ndarray.tobytes() that makes me doubt that it is working deterministically, at least for arrays of dtype=object. import numpy as np print(np.array([1,[2]])....