heatmap

问题 The problem is actually quite simple, yet I am not able to find a solution to it. How to plot a heatmap and its legend, i.e. a bar with the color scale representing the minimum and the maximum value that are plotted? I read the help of the heatmap() function, and using base R as explained here: r-graph-gallery.com heatmaps this is what I'm doing heatmap(as.matrix(dataSet[, -1]), Colv = NA, Rowv = NA, scale="column", xlab="something", ylab="", main="A title", labRow=dataSet$labels, labCol

问题 I'm trying to make a annotated heatmap on plotly. import plotly.plotly as py import plotly.tools as tls from plotly.graph_objs import * import numpy as np import pandas as pd import matplotlib.pyplot as plt df = pd.read_csv('masterc.csv') locations = {} anno = [] for i in range(df.shape[0]): locations.setdefault((df.iat[i,2],df.iat[i,6]),0) locations[(df.iat[i,2],df.iat[i,6])]+=df.iat[i,8] x1 = [] y1 = [] z1 = [] z1_text = [] for key in locations.keys(): if key[0] not in x1: x1 += [key[0],]

问题 How to implement python matplotlib heatmap colorbar like this？ plt.imshow(a,aspect='auto', cmap=plt.cm.gist_rainbow_r) plt.colorbar() 回答1: This example from the matplotlib gallery shows some different ways to make custom colormaps, including transparency: https://matplotlib.org/examples/pylab_examples/custom_cmap.html In your case, it looks like you want a modified version of the gist_rainbow colormap. You can achieve this by modifying the alpha channel as follows: import numpy as np import

问题 How to implement python matplotlib heatmap colorbar like this？ plt.imshow(a,aspect='auto', cmap=plt.cm.gist_rainbow_r) plt.colorbar() 回答1: This example from the matplotlib gallery shows some different ways to make custom colormaps, including transparency: https://matplotlib.org/examples/pylab_examples/custom_cmap.html In your case, it looks like you want a modified version of the gist_rainbow colormap. You can achieve this by modifying the alpha channel as follows: import numpy as np import

问题 There are several packages available to digitize the line graphs e.g. GetData Graph Digitizer. However, for digitzation of heat maps I could not find any packages or programs. I want to digitize the heat map (images from png or jpg format) using Python. How to do it? Do I need to write the entire code from scratch? Or there are any packages available? 回答1: There are multiple ways to do it, many Machine Learning libraries offering custom visualization functions...easier or harder. You need to

问题 I have a heatmap (gene expression from a set of samples): set.seed(10) mat <- matrix(rnorm(24*10,mean=1,sd=2),nrow=24,ncol=10,dimnames=list(paste("g",1:24,sep=""),paste("sample",1:10,sep=""))) dend <- as.dendrogram(hclust(dist(mat))) row.ord <- order.dendrogram(dend) mat <- matrix(mat[row.ord,],nrow=24,ncol=10,dimnames=list(rownames(mat)[row.ord],colnames(mat))) mat.df <- reshape2::melt(mat,value.name="expr",varnames=c("gene","sample")) require(ggplot2) map1.plot <- ggplot(mat.df,aes(x=sample

问题 I am trying to plot a heatmap using seaborn library. The plotting function looks like this: def plot_confusion_matrix(data, labels, **kwargs): """Visualize confusion matrix as a heat map.""" col_map = kwargs.get('color_palette', sns.light_palette('navy', n_colors=5, as_cmap=False)) sns.heatmap( vmin=0.0, vmax=1.0, data=data, cmap=col_map, xticklabels=labels, yticklabels=labels, linewidths=0.75, ) The histogram of the data , however, looks like this: Now the issue I am struggling with is that

问题 Currently I am learning Javascript. What I am trying is to make a clickable map of Germany displaying data. Just like this. Amchart provides Germany map . But it does not seem like the one above. I have some data of Germany and want to display it according to regions just like the above. I know first I need to load jquery on html but have no idea how to do with the Germany SVG. Could you tell me how to? Thank you in advance. 回答1: You can easily change the USA example you cited (https://www

问题 Currently I am learning Javascript. What I am trying is to make a clickable map of Germany displaying data. Just like this. Amchart provides Germany map . But it does not seem like the one above. I have some data of Germany and want to display it according to regions just like the above. I know first I need to load jquery on html but have no idea how to do with the Germany SVG. Could you tell me how to? Thank you in advance. 回答1: You can easily change the USA example you cited (https://www

问题 It seems to me the heatmap function is applied to the dataframe in its entirety. What if I only want the heatmap applied to a given set of column(s) from my dataset? I would imagine this can be achieved by smartly using cmap, but cannot seem to get it to work. 回答1: Pass the desired sub-DataFrame to seaborn.heatmap: seaborn.heatmap(df[[col1, col2]], ...) df[[col1, col2, ..., coln]] returns a DataFrame composed of the columns col1 , col2 , ... coln from df . Note the double brackets. If you