Here I have a 1D array: And the sum of all elements in the array should be 75491328*8*8 = 4831444992. However, when I use np.sum, I get a different output. That’s what happens on my Jupyter Notebook using the latest version of Numpy. But when I use Jupyter Notebook of Coursera using old version 1.18.4 of Numpy, everything is fine.
Tag: arrays
Create array of differences in col between two adjacent numbers in an array python/pyspark
I have a column of arrays made of numbers, ie [0,80,160,220], and would like to create a column of arrays of the differences between adjacent terms, ie [80,80,60] Does anyone have an idea how to approach this in Python or PySpark? I’m thinking of something iterative (ith term minus i-1th term starting at second term) but am really stuck how
How to save array (integer) to text file in Python?
I have array of this integer type: How can I save this to an xyz.txt file in this format with 5 lines: The following code returns the error Answer
Are there any ways to calculate the subtraction of values from one 2-dimensional arrays in python? [closed]
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 1 year ago. Improve this question I am finding a way to calculate the difference of values from one 2-dimensional array. My array will be like
How work to with an array of arrays and how initialize multiple arrays in Numpy?
I have to write an ABM (agent-based model) project in Python and I need to initialize 50 agents which will each contain a different set of numbers. I cannot use a matrix of 50 rows because each agent (each row) can have a different quantity of elements so the vector of each agent has not the same length: when certain
Can’t replace an array inside a tuple with another array of same size – Python
I have a list of tuples: I want to replace the second np.array of the first tuple with an array of the same length but filled with zeros: I have tried the following: But I get the: Any idea how to complete the replacement process ? Answer Tuples are immutable in Python, you cannot change values stored in it. You
How to subtract 1d array from 2d array’s rows in Numpy
What I want to do is to subtract 1d array from other 2d array’s rows. I found, in some case, result was wrong and confused me. Below code worked good as I wanted. Then I got following as expected. However, when I change the array “lstave” to [1, 2, 3, 4, 5] and subtract, I got following. I cannot understand
Python – compute average absolute difference of element and neighbors in NumPy array
I’m looking for a way to calculate the average absolute difference between neighboring elements in a NumPy array. Namely, given an array like The value for the middle square will be 2.5 (aka (4+3+2+1+1+2+3+4)/8). I know with SciPy’s correlate2d you can compute the average difference, but, as far as I know, not the average absolute difference (i.e. for the example
Is there built in function in numpy to iterate advanced in 3d array
I wanna make a function that takes an array as its first parameter takes an arbitrary sized and shaped arr array and overwrites all its values that are in the given [a,b] interval to be equal to c. The a, b, c numbers are given to the function as parameters.like input and output below Answer I think the way you’ve
NumPy + PyTorch Tensor assignment
lets assume we have a tensor representing an image of the shape (910, 270, 1) which assigned a number (some index) to each pixel with width=910 and height=270. We also have a numpy array of size (N, 3) which maps a 3-tuple to an index. I now want to create a new numpy array of shape (920, 270, 3) which