heatmap

问题 I was trying to use a heatmap form seaborn on a pivoted pandas dataframe like in the hyperlink which works df = pd.DataFrame(np.random.randint(1,100,size = (3,2))) df.columns = ['A','B'] df sns.heatmap(df, annot=True, fmt="d", linewidths=.5,cmap="RdYlGn") Output of code block - Entire Dataframe formatted as single heatmap The output picks 45 as min and 86 as max and color codes the entire dataframe But what i was unable to do was to apply the heatmap column wise i.e. like conditional

问题 I would like to make an heatmap in R using pheatmap with the colors green, black and red and using a range in the legend from -2 to 2, here is the code that I used: library(pheatmap) my_palette <- colorRampPalette(c("green", "black", "red"))(n = 201) colors = c(seq(as.numeric(-2),-0.01,length=100), 0, seq(0.01,as.numeric(2),length=100)) pheatmap(mFilt_annot_sort_matrix, color = my_palette, breaks = colors, scale = "none", cluster_rows = F, cluster_cols = F, margin = c(5,5)) The problem is

问题 I have a set of 3-tuples, each 3-tuple consists of (var1, var2, result). Example of a list of 9 3-tuples: <type 'list'>: [(4, 0.7, 0.8530612244898, 0.016579670213527985), (4, 0.6, 0.8730158730157779, 0.011562402525241757), (6, 0.8, 0.8378684807257778, 0.018175985875060037), (4, 0.8, 0.8605442176870833, 0.015586992159716321), (2, 0.8, 0.8537414965986667, 0.0034013605443334316), (2, 0.7, 0.843537414966, 0.006802721088333352), (6, 0.6, 0.8480725623582223, 0.01696896774039503), (2, 0.6, 0

问题 I have a matrix with x and y coordinates as well as the temperature values for each of my data points. When I plot this in a scatter plot, some of the data points will obscure others and therefore, the plot will not give a true representation of how the temperature varies in my data set. To fix this, I would like to decrease the resolution of my graph and create pixels which represent the average temperature for all data points within the area of the pixel. Another way to think about the

问题 I have the following data: dat <- structure(list(GO = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 5L, 5L, 5L, 5L, 5L, 5L), .Label = c("apoptotic process", "metabolic process", "negative regulation of apoptotic process", "positive regulation of apoptotic process", "signal transduction" ), class = "factor"), ProbeGene = structure(c(14L, 15L, 2L, 12L, 7L, 11L, 16L, 8L, 19L, 13L, 3L, 1L, 18L, 4L, 10L, 5L, 9L, 17L, 20L, 6L), .Label = c("1416787_at Acvr1", "1418835_at Phlda1

问题 I'd like to generate a choropleth map using the following data points: Longitude Latitude Price Here is the dataset - https://www.dropbox.com/s/0s05cl34bko7ggm/sample_data.csv?dl=0. I would like the map to show the areas where the price is higher and the where price is lower. It should most probably look like this (sample image): Here is my code: library(ggmap) map <- get_map(location = "austin", zoom = 9) data <- read.csv(file.choose(), stringsAsFactors = FALSE) data$average_rate_per_night <

问题 I am using the great demo by Ramnath Vaidyanathan at http://rmaps.github.io/blog/posts/leaflet-heat-maps/index.html and I would like to reproduce his heat map for my shiny application. When I try to use Ramnath's code in shiny though I only manage to get the map out, but not the heat map. Possibly part of the reason of my problems is that the original code from Ramnath uses rMaps while I'm using rCharts (also developed by Ramnath) as it is more developed / better integrated with shiny and of

问题 I am using the great demo by Ramnath Vaidyanathan at http://rmaps.github.io/blog/posts/leaflet-heat-maps/index.html and I would like to reproduce his heat map for my shiny application. When I try to use Ramnath's code in shiny though I only manage to get the map out, but not the heat map. Possibly part of the reason of my problems is that the original code from Ramnath uses rMaps while I'm using rCharts (also developed by Ramnath) as it is more developed / better integrated with shiny and of

问题 I want to visualize 2D data that I have. For example following is the data with four attributes: att1 att2 att3 fun1 10 0 2 fun2 0 1 3 fun3 1 10 5 fun4 2 3 10 I want to assign each data point a different colour. The intensity of the color will depend on the value of the attribute in that column, and each column must have a different color. Following is the desired image: Does anyone have any idea how I can make it in Python or R? 回答1: With Python : I found a better way : import pandas as pd

问题 I'm trying to generate a heat map using matplotlib. import matplotlib.pyplot as plt import numpy as np import sys import re data = np.random.rand(10, 10) heatmap = plt.pcolor(data) with open(sys.argv[1],'r') as iFile: for line in iFile: line=line.strip() values=re.split('[-:]',line) x=values[0].strip() y=values[1].strip() z=values[2].strip() data[y,x]=z for y in range(data.shape[0]): for x in range(data.shape[1]): plt.text(x + 0.5, y + 0.5, '%.2f' % data[y, x], horizontalalignment='center',