heatmap

问题 I'm trying to work with Google maps and Twitter API's to generate a city searchable heatmap of a certain topic/keyword from twitter. I have the heatmap working and the search map working individually, but cannot find anything any documentation on how to merge the two maps so one map has a heatmap that can search by city. If you delete the &callback=initAutocomplete in: script async defer src="https://maps.googleapis.com/maps/api/js?libraries=visualization,places&callback=initMap&callback

问题 df.team_data <- expand.grid(teams = c("Team A", "Team B", "Team C", "Team D") ,metrics = c("Metric 1", "Metric 2", "Metric 3", "Metric 4", "Metric 5") ) set.seed(41) df.team_data$performance <- sample(c(0, 1), 20, replace = TRUE) head(df.team_data) ggplot(data = df.team_data, aes(x = metrics, y = teams)) + geom_tile(aes(fill = performance)) I have a very simple heatmap with just two colors. How do I designate which colors are associated with the value of performance ? For this, I would like

问题 df.team_data <- expand.grid(teams = c("Team A", "Team B", "Team C", "Team D") ,metrics = c("Metric 1", "Metric 2", "Metric 3", "Metric 4", "Metric 5") ) set.seed(41) df.team_data$performance <- sample(c(0, 1), 20, replace = TRUE) head(df.team_data) ggplot(data = df.team_data, aes(x = metrics, y = teams)) + geom_tile(aes(fill = performance)) I have a very simple heatmap with just two colors. How do I designate which colors are associated with the value of performance ? For this, I would like

问题 I'm dealing with a data frame of categorical variables in case form, made up of three variables (i.e. color, shape and size) and its corresponding frequency. An example of the data frame is like this: Color Shape Size Freq 1 Yellow Square Big 10 2 Yellow Square Medium 6 3 Yellow Square Small 3 4 Yellow Triangle Big 4 5 Yellow Triangle Medium 6 6 Yellow Triangle Small 8 7 Red Square Big 2 8 Red Square Medium 6 9 Red Square Small 5 10Red Triangle Big 12 ....... The "color" variable is measured

问题 Test1 Test2 Test3 Test4 Test5 0.048 0.552 0.544 1.0000 0.604 0.518 0.914 0.948 0.0520 0.596 0.868 0.944 0.934 0.3720 0.340 0.934 0.974 0.896 0.1530 0.090 0.792 0.464 0.096 0.7050 0.362 0.001 0.868 0.050 0.3690 0.380 0.814 0.286 0.162 0.0040 0.092 0.146 0.966 0.044 0.4660 0.726 0.970 0.862 0.001 0.4420 0.020 0.490 0.824 0.634 0.5720 0.018 0.378 0.974 0.002 0.0005 0.004 0.878 0.594 0.532 0.0420 0.366 1.000 1.000 1.000 0.3550 1.000 1.000 1.000 1.000 0.3170 1.000 1.000 1.000 1.000 0.3900 1.000 0

问题 I read Chris Coyier article ( http://css-tricks.com/tracking-clicks-building-a-clickmap-with-php-and-jquery/ ) . It shows how to track user clicks through out a page , save it to a database and later build a heat map out of it. No problems with that it works fine with a fix screen resolution but the moment i resize the window if fails. Let's say i want to track clicks for my entire website , what will happen between different screen resolutions , so let's say a user is on 1024×768 screen

问题 I came across ways to make the plot itself transparent, but how do I make the background transparent? Is there a way to do this without Qt? I want the plot to be over the background window, for example, say I'm running Chrome, I want the plot to be over the chrome window, with its contents visible. 回答1: If you save the plot as an image you can set the background to be transparent myploy.savefig('plotname.png', transparent=True) 回答2: Transparency is a window property and will thus depend on

问题 how can i Displaying and Animated google heat map i have already used this code swf1 <- read.csv("D:/modilingfinel/swf1.csv",header=TRUE) head(swf1) set.seed(20170417) df <- swf1 df$weight <- sample(1:10, size = nrow(df), replace = T) google_map(key = "API_Key", data = df) %>% add_heatmap(lon = "Lon", lat = "Lat", weight = "weight", option_radius = 0.001, legend = T) but i didnt work any help, thank you when i try run the whole code i got this swf1 <- read.csv("D:/modilingfinel/swf1.csv"

问题 This new post is in reference to a previous post (Heatmap in a Shiny App). The sample dataset is found here: Sample Dataset used in the Example The resulting density plot and the plot showing the maximum values in the dataset for each position do not seem to match up. The third ggplot has a few issues that I am unsure how to fix. I set the scale of the third ggplot in scale_fill_gradientn for 0 to 100. However, the heatmap colors of the resulting plot are not the same color as what the scale

问题 I'm trying to add data to my heatmap. I use this library in order to do that https://github.com/pa7/heatmap.js + the plugin from this. This is my import: <ltng:require styles='/resource/leafletMarkerCluster/Leaflet.markercluster-1.4.1/dist/MarkerCluster.css, /resource/leafletMarkerCluster/Leaflet.markercluster-1.4.1/dist/MarkerCluster.Default.css' scripts='/resource/leaflet/leaflet.js,/resource/leafletMarkerCluster/Leaflet.markercluster-1.4.1/dist/leaflet.markercluster.js, /resource