WebMay 3, 2024 · Now in my code I'm trying to delete every second point (and then double the time in between these points in RoboDK), but I can't figure out how to do this in an if … WebAug 9, 2024 · 1. I'd like to write a code, that checks how much rows there are in one sheet, then deletes every second row. The procedure should be like this: Get total number of rows. Start with the last row, delete it. Go up by two rows, delete it. After you reach row number 2, stop. Here is my code which stops working at 8th row activeRow = activeRow - 2.
Delete multiple Columns using Excel and VBA Exceldome
WebThanks Ed. I have a question that is not related to this post. But I see that you are super erudite with Pandas so I will ask anyway: is there any way to add a total row calculating ONLY the columns that I specified, Something like df.loc['Total'] = df.sum(select_list), select_list = [columnA, columnB ...].I made a post but didn't really get the answer that I … WebOct 29, 2009 · Given its name, I think the standard way should be delete: import numpy as np A = np.delete (A, 1, 0) # delete second row of A B = np.delete (B, 2, 0) # delete third row of B C = np.delete (C, 1, 1) # delete second column of C According to numpy's documentation page, the parameters for numpy.delete are as follow: numpy.delete (arr, … meghan hess np
How can I delete even rows in a matlab Matrix - MathWorks
WebApr 24, 2024 · If your matrix is A, then Theme Copy A (n:n:end,:) = []; will delete every nth row. Your matrix row count does not need to be evenly divisible by n. prakhar dutta on 18 Feb 2024 More Answers (1) Ramesha Silva on 24 Apr 2024 0 Helpful (0) How to delete all even columns of A? 0.6000 0.4000 0.6000 0.8000 -1.0000 1.0000 2.0000 3.0000 … WebAug 9, 2024 · Delete every nth columns using Select dialog With Worksheet active, select Edit: Select from main menu. In the Select dialog that opens, select By Select N columns and Skip M columns from … WebMay 15, 2024 · 1 Answer Sorted by: 1 I am assuming there are many ways to do this. But I just use iloc df = df.iloc [::2,:] Try it and let me know if it worked for you. Share Improve this answer Follow answered May 15, 2024 at 2:34 Marcos Feijoo 26 1 1 you don't need the second :. Just df.iloc [::2]. – Quang Hoang May 15, 2024 at 2:42 Add a comment meghan hewitt facebook