heatmap

问题 I'm quite new to R and I'm stuck on how to create a heatmap from multiple data frames in a list. There are 3 columns in the each data frame: X location, Y location, PatchStatus The first data frame looks like: listofdfs <- list() #list of dataframes listofdfs[1] allPoints.xLocs allPoints.yLocs allPoints.patchStatus 1 67.30330212 87.857495 0 2 69.60800088 77.959314 0 3 74.63313295 93.059260 0 4 92.59099136 77.732215 1 5 18.05288289 61.200910 1 6 55.83499856 50.993785 0 7 12.15664148 58.220179

问题 I'm quite new to R and I'm stuck on how to create a heatmap from multiple data frames in a list. There are 3 columns in the each data frame: X location, Y location, PatchStatus The first data frame looks like: listofdfs <- list() #list of dataframes listofdfs[1] allPoints.xLocs allPoints.yLocs allPoints.patchStatus 1 67.30330212 87.857495 0 2 69.60800088 77.959314 0 3 74.63313295 93.059260 0 4 92.59099136 77.732215 1 5 18.05288289 61.200910 1 6 55.83499856 50.993785 0 7 12.15664148 58.220179

问题 Here I am trying to create a heat map using highcharter::hcharter() where less than -1 should be one color (pink), -1 to 1 should be transparent or white color, and greater than +1 should be another color (violet). Presently I have written code using hchart() and used color_stops to change the color format. But this works really well when data is centered to 0, but when it isn't centered to 0 let say from -5 to +7.5 white/transparent color would be shifted to 1 as shown in the image below. a1

问题 Here I am trying to create a heat map using highcharter::hcharter() where less than -1 should be one color (pink), -1 to 1 should be transparent or white color, and greater than +1 should be another color (violet). Presently I have written code using hchart() and used color_stops to change the color format. But this works really well when data is centered to 0, but when it isn't centered to 0 let say from -5 to +7.5 white/transparent color would be shifted to 1 as shown in the image below. a1

问题 This is a follow-up to my previous question here I've been trying to convert the color data in a heatmap to RGB values. source image In the below image, to the left is a subplot present in panel D of the source image. This has 6 x 6 cells (6 rows and 6 columns). On the right, we see the binarized image, with white color highlighted in the cell that is clicked after running the code below. The input for running the code is the below image. The ouput is (mean = [ 27.72 26.83 144.17]) is the

问题 This is a follow-up to my previous question here I've been trying to convert the color data in a heatmap to RGB values. source image In the below image, to the left is a subplot present in panel D of the source image. This has 6 x 6 cells (6 rows and 6 columns). On the right, we see the binarized image, with white color highlighted in the cell that is clicked after running the code below. The input for running the code is the below image. The ouput is (mean = [ 27.72 26.83 144.17]) is the

问题 I'm playing around with the abalone dataset from UCI's machine learning repository. I want to display a correlation heatmap using matplotlib and imshow. The first time I tried it, it worked fine. All the numeric variables plotted and labeled, seen here: fig = plt.figure(figsize=(15,8)) ax1 = fig.add_subplot(111) plt.imshow(df.corr(), cmap='hot', interpolation='nearest') plt.colorbar() labels = df.columns.tolist() ax1.set_xticklabels(labels,rotation=90, fontsize=10) ax1.set_yticklabels(labels

问题 I have a synthetic dataset with 1000 noisy polygons of various orders and sin/cos curves that I can plot as lines using python seaborn. Since I have quite a few lines that are overlapping, I'd like to plot some sort of heatmap or histogram of my line graphs. I've tried iterating over the columns and aggregating the counts to use seaborn's heatmap graph, but with many lines this takes quite a while. The next best thing that results in what I want was a hexbin graph (with seaborn jointgraph).

问题 I want to create a visualization on a map using folium. In the map I want to observe how many items are related to a particular geographical point building a heatmap. Below is the code I'm using. import pandas as pd import folium from folium import plugins data = [[41.895278,12.482222,2873494.0,20.243001,20414,7.104243], [41.883850,12.333330,3916.0,0.835251,4,1.021450], [41.854241,12.567000,22263.0,1.132390,35,1.572115], [41.902147,12.590388,19505.0,0.839181,37,1.896950], [41.994240,12.48520