heatmap

来源： https://stackoverflow.com/questions/52889540/speed-up-rendering-of-large-heatmap-from-ggplot-in-r

问题 I tried to write multiple heatmaps in one figure. I wrote the below code and I have two questions. (1) I want the data value in each cell and I don't need the axis labels for each picture. Therefore, I set xticklabels, yticklables, and annot; but they were not reflected in the figure. How should I do? (2) Can I rotate the color bar? I need one horizontal color bar for this fifure. I use Python 3.5.2 in Ubuntu 14.04.5 LTS. import matplotlib.pyplot as plt import seaborn as sns import pandas as

问题 I have a thermal image (with a color bar) from an IR camera. My goal is to get the temperature of any point by clicking on it. I have already written a script that retrieves the RBG values of any pixel by right-clicking on it. I figure that using the max and min temperatures of the color bar, I can map pixel values to temperature values. Is this possible or is there a better way to approach this? Thank you very much. from PIL import Image import cv2 from win32api import GetSystemMetrics

问题 I am using ggplot and geom_tile to form heatmaps. And I wish to insert some faint lines between the cells. For example: My ggplot geom_tile heatmap: library(ggplot2) library(reshape2) data("iris") x = melt(cor(iris[,1:4])) ggplot(data=x,aes(Var1,Var2,fill=value)) + geom_tile() # No line between the cells What I desire (from d3heatmap package in R) library(d3heatmap) data("iris") x = cor(iris[,1:4]) d3heatmap(cor(iris[,1:4]),Rowv = F,Colv = F) #There is a faint line between the cells (Sorry

问题 I am using ggplot and geom_tile to form heatmaps. And I wish to insert some faint lines between the cells. For example: My ggplot geom_tile heatmap: library(ggplot2) library(reshape2) data("iris") x = melt(cor(iris[,1:4])) ggplot(data=x,aes(Var1,Var2,fill=value)) + geom_tile() # No line between the cells What I desire (from d3heatmap package in R) library(d3heatmap) data("iris") x = cor(iris[,1:4]) d3heatmap(cor(iris[,1:4]),Rowv = F,Colv = F) #There is a faint line between the cells (Sorry

问题 I was trying to create something like But I was not able to get the x and y axis tics coming in I tried something like this to see if the x axis tics are coming my @data = ( [0, 0, 10], [0, 1, 10], [0, 2, 10], [], [1, 0, 10], [1, 1, 5], [1, 2, 10], [], [2, 0, 10], [2, 1, 1], [2, 2, 10], [], [3, 0, 10], [3, 1, 0], [3, 2, 10], ); my $chart = Chart::Gnuplot->new( output => "test1.png", title => "3D plot from arrays of x, y and z coordinates", xlabel => 'x', ylabel => 'y', xtics => { labels => ['

问题 I was trying to create something like But I was not able to get the x and y axis tics coming in I tried something like this to see if the x axis tics are coming my @data = ( [0, 0, 10], [0, 1, 10], [0, 2, 10], [], [1, 0, 10], [1, 1, 5], [1, 2, 10], [], [2, 0, 10], [2, 1, 1], [2, 2, 10], [], [3, 0, 10], [3, 1, 0], [3, 2, 10], ); my $chart = Chart::Gnuplot->new( output => "test1.png", title => "3D plot from arrays of x, y and z coordinates", xlabel => 'x', ylabel => 'y', xtics => { labels => ['

问题 I'd like to create a heat map using the highercharter package and the open source gapminder dataset in R. However, I'm having difficulty creating an axis with grouped labels. Here is some code on creating a heat map from the highcharter documentation: nyears <- 5 df <- expand.grid(seq(12) - 1, seq(nyears) - 1) df$value <- abs(seq(nrow(df)) + 10 * rnorm(nrow(df))) + 10 df$value <- round(df$value, 2) ds <- list_parse2(df) hc <- highchart() %>% hc_chart(type = "heatmap") %>% hc_title(text =

问题 Trying to visualize the cross-correlation between two volumes, img_3D, and mask_3D, using Seaborn heatmap , and animation from Matplotlib to visualize the 3D cross-correlation result as a progressive animation of 2D images, but I was facing an error, can you please tell me how to get rid of this error, and visualize the heatmaps correctly? Thanks in advance. Traceback (most recent call last): File "C:\Users\User\AppData\Local\Programs\Python\Python37\lib\tkinter\__init__.py", line 1705, in _

问题 I am studying pyspark in databricks. I want to generate a correlation heatmap. Let's say this is my data: myGraph=spark.createDataFrame([(1.3,2.1,3.0), (2.5,4.6,3.1), (6.5,7.2,10.0)], ['col1','col2','col3']) And this is my code: import pyspark from pyspark.sql import SparkSession import matplotlib.pyplot as plt import pandas as pd import numpy as np from ggplot import * from pyspark.ml.feature import VectorAssembler from pyspark.ml.stat import Correlation from pyspark.mllib.stat import