color-palette

问题 I'm plotting a correlation scatter plot, where my data frame has time data and the start year is arbitrary. In this case now I have the following R code ## Set seed for randomness in dummy data: ## set.seed(123) ## Create data frame: ## df.Data <- data.frame(date = seq(as.Date('2019-01-01'), by = '1 day', length.out = 650), DE = rnorm(650, 2, 1), AT = rnorm(650, 5, 2)) corPearson <- cor.test(x = df.Data$DE, y = df.Data$AT, method = "pearson") df.Data$year <- format(as.Date(df.Data$date), '%Y'

问题 Adding seaborn figures to subplots is usually done by passing 'ax' when creating the figure. For instance: sns.kdeplot(x, y, cmap=cmap, shade=True, cut=5, ax=ax) This method, however, doesn't apply to seaborn.palplot, which visualizes seaborn color palettes. My goal is to create a figure of different color palettes for scalable color comparison and presentation. This image roughly shows the figure I'm trying to create [source]. A possibly related answer describes a method of creating a

问题 Adding seaborn figures to subplots is usually done by passing 'ax' when creating the figure. For instance: sns.kdeplot(x, y, cmap=cmap, shade=True, cut=5, ax=ax) This method, however, doesn't apply to seaborn.palplot, which visualizes seaborn color palettes. My goal is to create a figure of different color palettes for scalable color comparison and presentation. This image roughly shows the figure I'm trying to create [source]. A possibly related answer describes a method of creating a

来源： https://stackoverflow.com/questions/35869150/creating-a-diverging-color-palette-with-a-midrange-instead-of-a-midpoint

来源： https://stackoverflow.com/questions/35869150/creating-a-diverging-color-palette-with-a-midrange-instead-of-a-midpoint

问题 I want to have leaflet color palette centered to zero (with Red-white-green diverging). I have tried what has been told in this post. When I tried this manual creation of colors, I got the red green divergence but couldn't able to center it to zero. My Code regions@data <- data.frame(region <- c("APAC (excl. China)", "Africa", "Americas", "Europe", "Greater China", "Middle East"), change_targeted <- c(36,-21,25,4,173,34)) color = "#666" weight = 0.5 opacity = 1 fillOpacity = 1 dashArray = ""

问题 I'm trying to merge two colorRampPalette schemes to use in leaflet and have been following this nice example. That example works fine but I can't seem to get it to work for my work, reproducible example below. I'm using RdYlGn palette and I want numbers below the threshold to be dark green and numbers above the threshold to more red (skipping some of the inner colors). For my example my cut-off is nc$PERIMETER < 1.3 so I want numbers under this value to be green and everything above more red

问题 I'm trying to grab the color palette from YouTube thumbnails, to better blend the YouTube video with a whole website design, and I'm wondering if there is any way of doing this? I've tried using color-thief (https://github.com/lokesh/color-thief) and this code (with no luck): var img = new Image(); img.onload = function () { var colorThief = new ColorThief(); colorThief.getColor(img); }; img.crossOrigin = 'Anonymous'; img.src = 'http://img.youtube.com/vi/NuEfvIca0XU/mqdefault.jpg From this I

问题 I want to use GDI+ method Image::Save() to save a DDB to a file in the following scenario: HBITMAP hBitmap = CreateCompatibleBitmap(hDC, 200, 200) ; ... //hBitmap is a DDB so I need to pass an HPALETTE Gdiplus::Bitmap(hBitmap, ???HPALETTE??? ).Save(L"file.png", ...) ; The problem is that Bitmap constructor asks for an HPALETTE when the bitmap is not a device-independent bitmap. Where do I get the necessary HPALETTE from? FOLLOWUP: One of the answers suggests passing NULL as the HPALETTE

问题 I would like to change the color palette. The colors are by default have a transparency of 30%. Is it possible to replace the color palette? 回答1: Based on this solution, you can replace the color palette once you get the rectangles and their colors. For instance, you can make brighter all the palette: @Override public void start(Stage primaryStage) { ColorPicker picker = new ColorPicker(); StackPane root = new StackPane(picker); Scene scene = new Scene(root, 500, 400); primaryStage.setScene