heatmap

问题 The Plotly documentation on heatmap animation is pretty difficult to understand. Could someone explain how to animate a heatmap? Here is my specific example. import numpy as np from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot import plotly.graph_objs as go init_notebook_mode(connected=True) x = np.linspace(0, 1, 200) y = np.linspace(0, 1, 200) xx, yy = np.meshgrid(x, y) def plane_wave(phase): return np.sin(8*np.pi * (xx - phase)) zz = plane_wave(0) trace = go

问题 I want to add another legend that tells me what ring of a circular heat map represents (from outer ring to inner ring). I tried the following from another answer previously: library(reshape) library(ggplot2) library(plyr) nba <- read.csv("http://datasets.flowingdata.com/ppg2008.csv") nba$Name <- with(nba, reorder(Name, PTS)) nba.m <- melt(nba) nba.m <- ddply(nba.m, .(variable), transform, value = scale(value)) # Convert the factor levels (variables) to numeric + quanity to determine size of

问题 I want to add another legend that tells me what ring of a circular heat map represents (from outer ring to inner ring). I tried the following from another answer previously: library(reshape) library(ggplot2) library(plyr) nba <- read.csv("http://datasets.flowingdata.com/ppg2008.csv") nba$Name <- with(nba, reorder(Name, PTS)) nba.m <- melt(nba) nba.m <- ddply(nba.m, .(variable), transform, value = scale(value)) # Convert the factor levels (variables) to numeric + quanity to determine size of

问题 I am asking a question stemming from this original post Heatmap with circles indicating size of population I am trying to replicate this using my dataframe, however, my circles are non aligning to the plot. Secondary, I want to also create a legend which indicates the value relative to the size of circle. x= {'ID': {0: 'GO:0002474', 1: 'GO:0052548', 2: 'GO:0002483', 3: 'GO:0043062', 4: 'GO:0060333'}, 'TERM': {0: 'antigen processing and presentation of peptide antigen via MHC class I', 1:

问题 I am newbie, I am trying to desing a heat map. This is my code: ggplot(gd, aes(Qcountry, Q6_1_Q6d), order = TRUE) + geom_tile(aes(fill = prob), colour = "white") + theme_minimal() + labs( y = "Main reason for mobility", x = "Country") + theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.3)) + scale_fill_gradient(name = "(%)") Which produces a perfect chart, my problem is low levels are dark blue, and higher values are light blue, which is not intuitive. Most common way to do is

问题 I am newbie, I am trying to desing a heat map. This is my code: ggplot(gd, aes(Qcountry, Q6_1_Q6d), order = TRUE) + geom_tile(aes(fill = prob), colour = "white") + theme_minimal() + labs( y = "Main reason for mobility", x = "Country") + theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.3)) + scale_fill_gradient(name = "(%)") Which produces a perfect chart, my problem is low levels are dark blue, and higher values are light blue, which is not intuitive. Most common way to do is

问题 I am newbie, I am trying to desing a heat map. This is my code: ggplot(gd, aes(Qcountry, Q6_1_Q6d), order = TRUE) + geom_tile(aes(fill = prob), colour = "white") + theme_minimal() + labs( y = "Main reason for mobility", x = "Country") + theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.3)) + scale_fill_gradient(name = "(%)") Which produces a perfect chart, my problem is low levels are dark blue, and higher values are light blue, which is not intuitive. Most common way to do is

问题 I have a data.matrix that is approximately 4000 rows and 100 columns. I am doing a heatmap of the data like: data<-heatmap(data_matrix,Rowv=NA,Colv=NA,col=cm.colors(256),scale="column",margins=c(5,10)) But the problem that I got is that the labels that appear in the column are too grouped, so it is impossible to visualize them correctly. How I can resize the heatmap so I can see the values of the labels of the column? I tried to print it in pdf, but it only appears a black stripe. Thanks I am

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 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