heatmap

问题 I am unable to move the x-axis labels, including tick marsk, in a geom_tile to the right end of each tile, I would also like to add the zero at the left end. I have tried breaks and labels but with no luck. Also using breaks and labels doesn't really work. I am trying to achieve what is done in this answer but the solution suggested doens't work. How to force the x-axis tick marks to appear at the end of bar in heatmap graph? my data toplot=structure(list(year = c(125L, 250L, 375L, 500L, 625L

问题 Plotting a heatmap and a lineplot using Seaborn with shared x-axis, the ticks of the heatmap are placed in the middle of the heatmap bars. Consequently, the bottom lineplot will inherit heatmap ticks position and labels, not reflecting the true data as the lineplot ticks should start from zero. In other words, I need to either shift the ticks of both plots to start from the x-axis origin (optimal), or shift the lineplot toward the right by a half of a heatmap cell width, keeping the tick

问题 In my shiny app I filter the heatmaps with a selectinput to show them in tab1. Everything is working fine. But, I have tried to get a uniform size a.) of the different heatmaps (all should have the same overall size and all should have same tile size), and b.) to align the heatmaps on the left side (actually it is centered). I am not able to get behind the issue, although I went through the online explanations. Thanks for your help. My code: global.R # global.R library(shiny) library(ggplot2)

问题 I'm working in a jupyter notebook trying to display a sort of adjacency-matrix-like data set in a grouped layout like this one using Altair's Chart.facet() method. This guy's answer gets me halfway there, but when I try to facet with rows and resolve the y scale as 'independent', the chart comes up as a tiny box containing no elements. df = (pd.util.testing.makeDataFrame() .reset_index(drop=True) # drop string index .reset_index() # add an index column .melt(id_vars=['index'], var_name=

问题 I'm trying to create a heatmap out of the following data: > head(myData.aggregated) datetime value date time 1 2016-03-31 14:19:00 3 2016-03-31 2016-06-11 14:19:00 2 2016-03-31 14:49:00 69 2016-03-31 2016-06-11 14:49:00 3 2016-03-31 15:49:00 5 2016-03-31 2016-06-11 15:49:00 4 2016-03-31 16:19:00 7 2016-03-31 2016-06-11 16:19:00 5 2016-03-31 17:49:00 2 2016-03-31 2016-06-11 17:49:00 6 2016-03-31 18:19:00 7 2016-03-31 2016-06-11 18:19:00 > tail(myData.aggregated) datetime value date time 90

问题 I'm trying to create a heatmap out of the following data: > head(myData.aggregated) datetime value date time 1 2016-03-31 14:19:00 3 2016-03-31 2016-06-11 14:19:00 2 2016-03-31 14:49:00 69 2016-03-31 2016-06-11 14:49:00 3 2016-03-31 15:49:00 5 2016-03-31 2016-06-11 15:49:00 4 2016-03-31 16:19:00 7 2016-03-31 2016-06-11 16:19:00 5 2016-03-31 17:49:00 2 2016-03-31 2016-06-11 17:49:00 6 2016-03-31 18:19:00 7 2016-03-31 2016-06-11 18:19:00 > tail(myData.aggregated) datetime value date time 90

问题 I created this map of the Middle East in folium. I am very happy with how it looks: https://javierparada.github.io The only problem is that one of the background layers is blocking the HeatMap. I don't know how to organize the layers so that the HeatMap is shown on top of the folium.raster_layers.ImageOverlay that contains the Land Use Changes. Thanks! # Leaflet’s CRS: EPSG3857 # colormap= lambda x: (1, 0, 1, 1) #R,G,B,alpha, # tiles='stamentoner', # play with z-index # m.keep_in_front(m.add

问题 I am trying to create a weighted heat map for my android app project. I had a look at the google documentation for it. I don't understand how to create a new gradient using colors array and starting points array. The starting array is denoted as The starting point for each color, given as a percentage of the maximum intensity. What does it mean? How to relate color array with starting point array? int[] colors = { Color.GREEN, // green(0-50) Color.YELLOW, // yellow(51-100) Color.rgb(255,165,0

问题 Please forgive me if this is a repeated question, I've done my best to look for a solution. This seems very straightforward but I can't seem to find anything applicable. I'm trying to generate a plot (like a heatmap) using data from 3 1-D numpy arrays. The data is basically arranged as follows: x_axis = ([1, 4, 6]) y_axis = ([2, 5, 7]) z_axis = ([5, 8, 9]) (my data sets are actually much larger... sometimes hundreds of thousands of entries). so I've got z_axis values that are each associated

问题 Please forgive me if this is a repeated question, I've done my best to look for a solution. This seems very straightforward but I can't seem to find anything applicable. I'm trying to generate a plot (like a heatmap) using data from 3 1-D numpy arrays. The data is basically arranged as follows: x_axis = ([1, 4, 6]) y_axis = ([2, 5, 7]) z_axis = ([5, 8, 9]) (my data sets are actually much larger... sometimes hundreds of thousands of entries). so I've got z_axis values that are each associated