heatmap

How do you make a heat map and cluster with NA values?

由 大兔子大兔子 提交于 2019-12-10 08:42:51
问题 I am trying to make a heat map using my data however struggle to code it properly. My matrix is filled with log(x+1) values, this way I don't encounter log(0) errors however due to the nature of my data I have a bunch of 0 values and they mask any sort of trends the heat map could be showing. Because of that I want to colour any 0 values grey or black and then the rest of my data colour along a blue-white-red spectrum. Here is the coding I am using, RHeatmap <- read.delim("~/Desktop/RHeatmap

Set Max value for color bar on seaborn heatmap

由 [亡魂溺海] 提交于 2019-12-10 00:47:48
问题 I need to set the max value on the seaborn heatmap cbar to 2. I've tried: cbar_kws = { 'ticks' : [0, 2] } sns.heatmap(tiles, robust=True, fmt="f", cmap= 'RdBu_r', cbar_kws = cbar_kws) But this doesn't work and the documentation isn't very clear. How would I do this properly? 回答1: I think you want to use the vmin and vmax parameters for the heatmap, as described in the docs: vmin, vmax : floats, optional Values to anchor the colormap, otherwise they are inferred from the data and other keyword

Google heatmap plotting with wrong gradient based on weight

由 谁说胖子不能爱 提交于 2019-12-09 23:24:08
问题 I was having some problem with Google Heatmap. The result that I am getting as such: The following as the code for me to populate the array for heatmap, I declared the heatmapData as global array so that I can be used in some other function: var heatmapData = []; function addForecastMarker(marker){ // code to plot marker here heatmapData.push({location: new google.maps.LatLng(marker['lat'], marker['lng']), weight: marker['total'].toFixed(2)}); } When I tried to print out the above data to

Custom tooltip positioning

由 空扰寡人 提交于 2019-12-09 12:09:48
问题 I'm facing issues to properly position a custom tooltip on a Plotly.js heatmap. I'm using the l2p method (what's this acronym standing for?) in combination with the pointNumber data to get a relative positioning within the heatmap. It looks like: x: point.xaxis.l2p(point.pointNumber[1]), y: point.yaxis.l2p(point.pointNumber[0]) But the problem with that is that it is relative to the top/left origin of the heatmap svg itself without the outer x- and y-axis labels, so I'm actually missing that

Generating a KML heatmap from given data set of [lat, lon, density]

由 那年仲夏 提交于 2019-12-09 04:55:21
问题 I am looking to build a static KML (Google Earth markup) file which displays a heatmap-style rendering of a few given data sets in the form of [lat, lon, density] tuples. A very straightforward data set I have is for population density. My requirements are: Must be able to feed in data for a given lat, lon Must be able to specify the density of the data at that lat, lon Must export to KML The requirements are language agnostic for this project as I will be generating these files offline in

Google Maps HeatmapLayer clickable endpoints

由 徘徊边缘 提交于 2019-12-09 03:36:23
问题 When a user reaches a zoom level where the cluster only consist of 1-4 LatLng points I would like to make the object clickable to show source of the data used for the heatmap. Any tips on how to address this issue? Can I connect any type of EventListener to the HeatmapLayer points? 回答1: There is no click-event for a heatmap( basically there isn't any event a heatmap will listen to). What you can do: use a markerClusterer. Create Markers for all points, as markerImage assign a a transparent

Heatmap Tools For Web Apps

由 杀马特。学长 韩版系。学妹 提交于 2019-12-08 23:32:05
问题 I have a client that want to have a web app I'm building for them display heat maps of the data. I haven't worked with heat maps at all and I was wondering if anyone knew of some good tools for generating them. Thanks. 回答1: Heat maps are often used in place of a more conventional term: kernel density estimators. If you need to compute these on the fly, consider GRASS GIS- specifically, the v.kernel or v.neighbors modules. These will generate a continuous estimate (i.e. raster surface) of

How could I adjust a ggplot HeatMap Based on the Column Values from a Reactive SelectInput?

由 谁说我不能喝 提交于 2019-12-08 14:39:27
Goal: I am trying to modify my Shiny app that previously (for demo purposes) just showed a static image of a PCB with a heatmap generated from pre-loaded data. I would like to now combine this heatmap with a dataset that I choose from my selectInput . So, if I select dataset1 in my selectInput , I want to display the heatmap onto the image for that dataset. And update it if I choose dataset2 , and so on... The locations are pre-determined, so if one of the columns is named Position 1, then I want to plot that in Position 1 on my heatmap, at the position specified in heatmap.R . If the user

Temperature is black after thresholding

由 谁说胖子不能爱 提交于 2019-12-08 11:52:22
问题 I want to show the temperature based on the density. Following are the function that Im using, def add_heat(heatmap, bbox_list): for i in range(len(bbox_list)): rect = trackers[i].get_position() heatmap[int(rect.left()):int(rect.top()), int(rect.right()):int(rect.bottom())] += 1 return heatmap def apply_threshold(heatmap, threshold): # Zero out pixels below the threshold heatmap[heatmap <= threshold] = 0 # Return thresholded map cv2.imwrite("heatmap.png",heatmap) return heatmap add_heat

seaborn heatmap get array of color codes values

由 南笙酒味 提交于 2019-12-08 11:37:16
问题 I am trying to get the color codes associated with each cell of a heatmap: import seaborn as sns import numpy as np import matplotlib.cm as cm hm = sns.heatmap( np.random.randn(10,10), cmap = cm.coolwarm) # hm.<some function>[0][0] would return the color code of the cell indexed (0,0) 回答1: Because sns.heatmap returns a matplotlib axis object, we can't really use hm directly. But we can use the cmap object itself to return the rgba values of the data. Edit Code has been updated to include
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