Tag: fill

Javascript to dynamically select based on another query

Advertisements I am working with a svg element as following const src = [{ “Name”: “Australia”, “Year”: 1997, “Value”: 15.540540540540499 }, { “Name”: “Australia”, “Year”: 1998, “Value”: 15.540540540540499 }, { “Name”: “Australia”, “Year”: 1999, “Value”: 22.4489795918367 }, { “Name”: “Brunei”, “Year”: 1998, “Value”: 6.4516129032258096 }, { “Name”: “Brunei”, “Year”: 2017, “Value”: 9.0909090909090899 }, { “Name”:… Read More Javascript to dynamically select based on another query

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Change background color of combined plots in ggpubr::ggarrange

Advertisements I can’t figure out why the bottom corners background is white, while the rest of the plot is grey. Is there anyway I can change the bottom corners color to the same background as the rest of the plot? The code im using for each plot is: HP_specifikationer_model1 <- ggplot(Svar_spec_data)+geom_hline(yintercept=0) geom_line(aes(y=HP1, x=kvartaler, color =… Read More Change background color of combined plots in ggpubr::ggarrange

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check each object, return true when the first condition is met, else return false

Advertisements I have a method that works fine. This is how it looks. private ArrayList<Car> carsInStore ; //in car class have setter/getter/quals/Constructor. public boolean checkIfcarInStore(Car c) { for (Car car : carsInStore) { if(car.equals(c)){ return true; } }} I wanna switch this to Lambda. but I am not sure how fill in the if (condition)… Read More check each object, return true when the first condition is met, else return false

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BottomSheetScaffold is overriding the background color of its parent

Advertisements I’m trying out BottomSheetScaffold and I just found a strange behavior (maybe a bug) when using it. I put it inside a Box { } that has a cyan background color: composable(route = "my_route") { Box( modifier = Modifier .fillMaxSize() .background(color = Color.Cyan), ) { val coroutineScope = rememberCoroutineScope() val bottomSheetScaffoldState = rememberBottomSheetScaffoldState() BottomSheetScaffold(… Read More BottomSheetScaffold is overriding the background color of its parent

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How to create a dictionary with the unique items of a list as key and the count of unique items as value?

Advertisements I know that if I have a dictionary filled with with x = {unique : count} then I can use prop_dict = dict((k, round(v/sum(x.values()),2)) for k,v in x.items()), but I do not know how to get there from an array/list. Here is some sample data: arr = [0., 137., 3., 1., 1., 5., 2.,… Read More How to create a dictionary with the unique items of a list as key and the count of unique items as value?

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Show small window with image from CLI

Advertisements What the problem in this code i’ve written ? using System; using System.Windows.Forms; public class stfu { public static void Main() { Console.WriteLine("Hello Toxic world!"); var f = new Form(); f.FormBorderStyle = FormBorderStyle.None; f.Controls.Add(new PictureBox() { ImageLocation = @"image.png",Dock = DockStyle.Fill}); f.Show(); Console.ReadLine(); } } form not responding. . . >Solution : You need… Read More Show small window with image from CLI

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rank for nan values based on group

Advertisements I have dataframe with column d1 and now i am trying calculate ‘out’ column after ranking that column when there in ‘nan’ value with in a column. data_input = {‘Name’:[‘Renault’, ‘Renault’, ‘Renault’, ‘Renault’,’Renault’,’Renault’,’Renault’,’Renault’,’Renault’,’Renault’,’Renault’,’Renault’,’Renault’,’Renault’], ‘type’:[‘Duster’, ‘Duster’, ‘Duster’,’Duster’,’Duster’,’Duster’,’Duster’,’Triber’,’Triber’,’Triber’,’Triber’,’Triber’,’Triber’,’Triber’], ‘d1’:[‘nan’,’10’,’10’,’10’,’nan’,’nan’,’20’,’20’,’nan’,’nan’,’30’,’30’,’30’,’nan’]} df_input = pd.DataFrame(data_input) data_out = {‘Name’:[‘Renault’, ‘Renault’, ‘Renault’, ‘Renault’,’Renault’,’Renault’,’Renault’,’Renault’,’Renault’,’Renault’,’Renault’,’Renault’,’Renault’,’Renault’], ‘type’:[‘Duster’, ‘Duster’, ‘Duster’,’Duster’,’Duster’,’Duster’,’Duster’,’Triber’,’Triber’,’Triber’,’Triber’,’Triber’,’Triber’,’Triber’], ‘d1’:[‘nan’,’10’,’10’,’10’,’nan’,’nan’,’20’,’20’,’nan’,’nan’,’30’,’30’,’30’,’nan’], ‘out’:[1,np.NaN,np.NaN,np.NaN,2,2,np.NaN,np.NaN,1,1,np.NaN,np.NaN,np.NaN,2]} df_out = pd.DataFrame(data_out)… Read More rank for nan values based on group

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