Advertisements I have 2 json files containing translations for my app: en-US.json: { "car": "car", "bike": "bike", "tree": "tree", } nl-NL.json: { "car": "auto", "bike": "fiets", "tree": "boom", "house": "huis" } As you can see, I have removed the house from the en-US.json file (among many others). How could I remove the same house entry… Read More Use jq to remove key/value pairs based on other file
Advertisements I’ve been trying to write a program, in which I want to use the intersection of two HashSets. Therefore I wrote the following code (for test purposes): HashSet<int> test1 = new HashSet<int>() { 1, 3, 5, 7, 9 }; HashSet<int> test2 = new HashSet<int>() { 1, 2, 3, 4, 5, 6}; HashSet<int> intersect =… Read More Intersect on HashSet results in compile error
Advertisements I have 2 arrays where they have some common id values, but the keys for these id values differ slightly. $comps = [ [ ‘c_id’ => ‘123’, ‘status’ => ‘active’ ], [ ‘c_id’ => ‘456’, ‘status’ => ‘destroyed’ ], [ ‘c_id’ => ‘789’, ‘status’ => ‘active’ ] ]; $rests = [ [ ‘r_id’ =>… Read More Find array intersect for multiple values and differing key names
Advertisements I have a vector of various foods that I need to sort, as follows: myVector <- c("Banana", "Apple", "Spinach", "Lettuce", "Candy", "Soda") I also have a list of foods that have been categorized as follows: myList <- list(Fruits = c("Orange", "Watermelon", "Banana", "Grape", "Apple", "Strawberry"), Veggies = c("Spinach", "Onion", "Carrot", "Lettuce", "Sprouts", "Cucumber"), Other… Read More Find Intersect of a Vector and List of Vectors
Advertisements In SQLite, if I type: SELECT (SELECT 1 UNION SELECT 2 UNION SELECT 3) INTERSECT SELECT 3 UNION SELECT 4 I get the result 4. How is that possible? SELECT 1 UNION SELECT 2 SELECT 3 is (1, 2, 3), right? And SELECT 3 UNION SELECT 4 is (3, 4). So, the intersect should… Read More Why is, in SQLite, `SELECT (SELECT 1 UNION SELECT 2 UNION SELECT 3) INTERSECT SELECT 3 UNION SELECT 4` equal 4 and not 3?
Advertisements if cat_vars: df["static_cat"] = ( df.groupby("group_col") .agg({i: "first" for i in cat_vars}) .values.tolist() ) Error: packages\pandas\core\groupby\generic.py in aggregate(self, func, *args, **kwargs) 926 func = _maybe_mangle_lambdas(func) 927 –> 928 result, how = self._aggregate(func, *args, **kwargs) 929 if how is None: 930 return result packages\pandas\core\base.py in _aggregate(self, arg, *args, **kwargs) 355 obj.columns.intersection(keys) 356 ) != len(keys):… Read More solving nested renamer is not supported with dynamic arguments
Advertisements Logic to count intersections in a given set is correct for no repetitive pattern, but for this set, the output count is wrong. int a[] = {1,1,1,2}; int b[] = {1,1,2,2,3}; int count = 0; for(int i=0;i<a.length;i++) { for(int j =0;j<b.length;j++){ if(a[i]==b[j]) { count++; } } } Code output is 8 Expected output to… Read More Intersections of given sets with repeat of elements
Advertisements I want something that when I have a addEventListener(‘mouseover’) it affect the two element next to him. Like this: let three = document.getElementById(‘three’); let six = document.getElementById(‘six’); intersection3_6.addEventListener(“mouseover”, function () { three.classList.add(“hover”); six.classList.add(“hover”); }); intersection3_6.addEventListener(“mouseout”, function () { three.classList.remove(“hover”); six.classList.remove(“hover”); }); #table { display: grid; grid-template-columns: 50px 50px; grid-template-rows: 50px 50px; } #controls {… Read More Javascript optimisation Event Listener for multiple time the same effect
Advertisements I have some code in a .js file that is used in checkboxes. When imported into the html, though, the first two checkbox sections work (location, pop) but the last one does not. When I have the js in the html instead of importing it, all three sections (location, pop, tuition) work… I’m not… Read More Javascript not working when imported into html from js file?
Advertisements I have an exemplary pd.DataFrame containing codenames of software developed in different development studios: df = pd.DataFrame({‘project_id’: [36423, 28564, 96648, 96648, 10042, 68277, 68277, 68277], ‘codename’: [‘banana’, ‘apple’, ‘peach’, ‘peach’, ‘melon’, ‘pear’, ‘pear’, ‘pear’], ‘studio’: [‘paris’, ‘amsterdam’, ‘frankfurt’, ‘paris’, ‘london’, ‘brussel’, ‘amsterdam’, ‘sofia’]}) id codename studio 0 36423 banana paris 1 28564 apple amsterdam… Read More How to filter out multiple rows in a pandas.DataFrame based on multiple conditions for the same column