c# intersection two collections returns collection with intersected index and new field

I have two collections: IEnumerable<int> data1 = new List<int> {101, 102, 103, 104}; IDictionary<int, int> data2 = new Dictionary<int, int> { { 101, 1 }, { 104, 0 } }; I want do to something like var newData = data2.intersect(data2, lambda expression); newData should be a collection of IEnumerable<int, bool> being the first field the… Read More c# intersection two collections returns collection with intersected index and new field

solving nested renamer is not supported with dynamic arguments

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

Javascript optimisation Event Listener for multiple time the same effect

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 { position:… Read More Javascript optimisation Event Listener for multiple time the same effect

How to filter out multiple rows in a pandas.DataFrame based on multiple conditions for the same column

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 2… Read More How to filter out multiple rows in a pandas.DataFrame based on multiple conditions for the same column