heatmap

问题 I have the following dataframe and would like to differentiate the minor decimal differences in each "step" with a different color scheme in a heatmap. Sample data: Sample Step 2 Step 3 Step 4 Step 5 Step 6 Step 7 Step 8 A 64.847 54.821 20.897 39.733 23.257 74.942 75.945 B 64.885 54.767 20.828 39.613 23.093 74.963 75.928 C 65.036 54.772 20.939 39.835 23.283 74.944 75.871 D 64.869 54.740 21.039 39.889 23.322 74.925 75.894 E 64.911 54.730 20.858 39.608 23.101 74.956 75.930 F 64.838 54.749 20

问题 I have a dataset of points (x,y) and I would like to create an heatmap of this dataset. More specifically, I would like an image in which I have lighter colors in the areas where I have a bigger concentration of points and darker where there are less points. I am using JFreeChart libraries and I found some classes for example DefaultHeatMapDataset but I am not sure how to use them in the proper way. Does anybody has a clue on how to do it? Thanks in advance! Giovanni 回答1: Use an

问题 I have a dataset of points (x,y) and I would like to create an heatmap of this dataset. More specifically, I would like an image in which I have lighter colors in the areas where I have a bigger concentration of points and darker where there are less points. I am using JFreeChart libraries and I found some classes for example DefaultHeatMapDataset but I am not sure how to use them in the proper way. Does anybody has a clue on how to do it? Thanks in advance! Giovanni 回答1: Use an

问题 I'd like to digitize a heatmap, Panel D in this source image As a first step, I tried to read the image in opencv and obtain a matrix import cv2 from pprint import pprint def read_as_digital(image): # mage dimensions h = image.shape[0] w = image.shape[1] print(h, w) pass if __name__ == '__main__': image = cv2.imread('ip.jpg', 1) pprint(image) read_as_digital(image) I could read the image as a matrix, but I don't know how to specify the beginning of the cells (corresponding to different

问题 I'd like to digitize a heatmap, Panel D in this source image As a first step, I tried to read the image in opencv and obtain a matrix import cv2 from pprint import pprint def read_as_digital(image): # mage dimensions h = image.shape[0] w = image.shape[1] print(h, w) pass if __name__ == '__main__': image = cv2.imread('ip.jpg', 1) pprint(image) read_as_digital(image) I could read the image as a matrix, but I don't know how to specify the beginning of the cells (corresponding to different

问题 With ggplot::geom_point we are able to set any character for plotting symbols using scale_shape_manual . I am coming with an example which demonstrates the purpose: use triangles to make a heatmap with two values in each cell: require(ggplot2) data <- data.frame( val = rnorm(40), grp = c(rep('a', 20), rep('b', 20)), x = rep(letters[1:4], 5), y = rep(letters[1:5], 4) ) p <- ggplot(data, aes(x = x, y = y, color = val, shape = grp)) + geom_point(size = 18) + scale_shape_manual(values=c("\u25E4",

问题 With ggplot::geom_point we are able to set any character for plotting symbols using scale_shape_manual . I am coming with an example which demonstrates the purpose: use triangles to make a heatmap with two values in each cell: require(ggplot2) data <- data.frame( val = rnorm(40), grp = c(rep('a', 20), rep('b', 20)), x = rep(letters[1:4], 5), y = rep(letters[1:5], 4) ) p <- ggplot(data, aes(x = x, y = y, color = val, shape = grp)) + geom_point(size = 18) + scale_shape_manual(values=c("\u25E4",

问题 Background In a confusion matrix, the diagonal represents the cases that the predicted label matches the correct label. So the diagonal is good, while all other cells are bad. To clarify what is good and what is bad in a CM for non-experts, I want to give the diagonal a different color than the rest. I want to achieve this with Python & Seaborn . Basically I'm trying to achieve what this question does in R (ggplot2 Heatmap 2 Different Color Schemes - Confusion Matrix: Matches in Different

问题 I've been searching around but couldn't find an easy solution to plot two heatmaps in one graphic by having each square in the heatmap split into two triangles (similar to the attached graphic I saw in a paper). Does anybody know a Python package that is able to do this? I tried seaborn but I don't think it has an easy way to achieve this. Thank you for your time! -Peter 回答1: plt.tripcolor colors a mesh of triangles similar to how plt.pcolormesh colors a rectangular mesh. Also similar to

问题 I've been searching around but couldn't find an easy solution to plot two heatmaps in one graphic by having each square in the heatmap split into two triangles (similar to the attached graphic I saw in a paper). Does anybody know a Python package that is able to do this? I tried seaborn but I don't think it has an easy way to achieve this. Thank you for your time! -Peter 回答1: plt.tripcolor colors a mesh of triangles similar to how plt.pcolormesh colors a rectangular mesh. Also similar to