logic

How do you close all Tkinter windows when specific window closes?

感情迁移 提交于 2021-01-28 10:33:48
问题 I have this application in Python Tkinter. There is a Python file which is a main menu. When I click an option in the main menu it imports a python file with code that makes a new window (couldn't use Toplevel for the new window for some reasons). So when I close the main menu it should close all the other windows. Here is my code for the main menu: from tkinter import * root = Tk() root.geometry("600x600") def newWindowImport(): import file1 def newWindowImport2(): import file2 newWindow =

How do you close all Tkinter windows when specific window closes?

旧巷老猫 提交于 2021-01-28 10:24:35
问题 I have this application in Python Tkinter. There is a Python file which is a main menu. When I click an option in the main menu it imports a python file with code that makes a new window (couldn't use Toplevel for the new window for some reasons). So when I close the main menu it should close all the other windows. Here is my code for the main menu: from tkinter import * root = Tk() root.geometry("600x600") def newWindowImport(): import file1 def newWindowImport2(): import file2 newWindow =

Understanding the use of any() and all() in numpy arrays

喜你入骨 提交于 2021-01-28 09:38:19
问题 What's the difference between the following: a = np.array([2,3,4]) b = np.array([2,7,8]) if a.any() == b.all(): print('yes') and a = np.array([2,3,4]) b = np.array([2,7,8]) if a.any() == b.any(): print('yes') In both situations, 'yes' is printed. 回答1: any() and all() are intended for boolean arrays. any() returns True if there's any values that are equal to True in the array. all() returns True if all values in the array are equal to True . For integers/floats the functionality is similar,

Print number patterns in JavaScript

天大地大妈咪最大 提交于 2021-01-28 08:00:43
问题 I want to print numbers in pattern as below also I need this to print using only one for loop not in if condition inside for loop. If I give s = 7 the output pattern would be 7, 5, 3, 1, 3, 5, 7 If s=6 then output is 6, 4, 2, 4, 6 This is what I tried but not successful. const s = 7, b = 2 for (x = s, d = b; x > 0 && x <= 7; x -= 2) { console.log(x) } I don't want to use any pre-built libraries to achieve this such as Math.abs() 回答1: With ternary operator: const s = 10, b = 2 for (x = s, step

How to check if a coordinate pair (lat,lon) exists in a coordinate grid?

心不动则不痛 提交于 2021-01-28 05:09:37
问题 I have an algorithm that computes shapes using geographic coordinates when certain conditions are satisfied. The algorithm outputs a latitude list and a longitude list like seen below. So lat[0] and lon[0] would represent a coordinate pair. I want to create a boolean array in the shape of a latitude and longitude map where the indices would be true if a corresponding coordinate point exists in the algorithm output. I have the original latitude and longitude information from the netcdf file,

3 conditional statement throws a length error in r

回眸只為那壹抹淺笑 提交于 2020-12-13 03:41:05
问题 I need to make special rules for some data that I have (if a value is <= 0.1 then make it missing it's an error) but I only want to do it for certain categories. My data looks like this Category value A 0.9 A 0.001 A 0.3 B 0.01 B 0.8 C 0.01 C 0.01 C 0.2 C NA I want this Category value A 0.9 A 0.001 A 0.3 B NA B 0.8 C NA C NA C 0.2 C NA My code looks like this: want<- Mydata %>% mutate(value2= if_else(!is.na(value) & value<=0.1 & Category=='B' || !is.na(value) & value<=0.1 & Category=='C', as

3 conditional statement throws a length error in r

夙愿已清 提交于 2020-12-13 03:39:39
问题 I need to make special rules for some data that I have (if a value is <= 0.1 then make it missing it's an error) but I only want to do it for certain categories. My data looks like this Category value A 0.9 A 0.001 A 0.3 B 0.01 B 0.8 C 0.01 C 0.01 C 0.2 C NA I want this Category value A 0.9 A 0.001 A 0.3 B NA B 0.8 C NA C NA C 0.2 C NA My code looks like this: want<- Mydata %>% mutate(value2= if_else(!is.na(value) & value<=0.1 & Category=='B' || !is.na(value) & value<=0.1 & Category=='C', as

3 conditional statement throws a length error in r

僤鯓⒐⒋嵵緔 提交于 2020-12-13 03:38:39
问题 I need to make special rules for some data that I have (if a value is <= 0.1 then make it missing it's an error) but I only want to do it for certain categories. My data looks like this Category value A 0.9 A 0.001 A 0.3 B 0.01 B 0.8 C 0.01 C 0.01 C 0.2 C NA I want this Category value A 0.9 A 0.001 A 0.3 B NA B 0.8 C NA C NA C 0.2 C NA My code looks like this: want<- Mydata %>% mutate(value2= if_else(!is.na(value) & value<=0.1 & Category=='B' || !is.na(value) & value<=0.1 & Category=='C', as