I have a (m,n,3) array data and I want to filter its values with a (m,n) mask to receive a (x,3) output array. The code below works, but how can I replace the for loop with a more efficient alternative? import numpy as np data = np.array([ [[11, 12, 13], [14, 15, 16], [17, 18,… Read More How to filter 3D array with a 2D mask
I want to replace some characters in a string with a "*", in the following way: Given N, leave the first N characters as-is, but mask the next N characters with "*", then leave the next N characters unchanged, …etc, alternating every N characters in the string. I am able to mask every alternating character… Read More Replace / mask alternative N chars in a string
I have an account number which is masked on initial display. When user hover over the account number I want to display the number. As of now value is hardcoded. Project uses html, jquery, js How can I achieve this functionality? <table> <tr> <td> Account Number </td> <td> <input type=”text” value=”4xxx763″></td> </tr> </table> >Solution :… Read More How can I display masked account number on hover?
I can apply a mask to an entire dataframe and substitute True booleans with a given value, ex, 1.0, like so: 0 1 0 0.0 0.0 1 3.0 0.0 with: mask = (df != 0.0) df = df.where(mask, 1.0) then: 0 1 0 0.0 0.0 1 1.0 0.0 But, instead of a constant float value,… Read More Pandas – apply multiplication after masking and df.where