choropleth

问题 I'm making a choropleth map with added points in ggplot. So, following the last example of the geom_map help docs I came up with this: require(ggplot2) require(maps) set.seed(47) county_map <- map_data("county", "washington") names(county_map)[5:6] <- c("state", "id") countyData <- data.frame(id = unique(county_map$id), value = rnorm(39)) map1 <- ggplot(countyData, aes(map_id = id)) + geom_map(aes(fill = value), map = county_map, colour = "black") + coord_map() + expand_limits(x = county_map

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 2 years ago . I have been trying to build a Choropleth / Bubble map of UK for my own shiny dashboard project. My dashboard is a student information management system and the map is supposed to show students come from which regions (zip codes or cities is also fine). Unfortunately, most packages

问题 I know this question has been asked a number of times but I think some of the underlying syntax for plotly has changed since those questions have been asked. Using ggplotly() to create a choropleth map gives the default tooltip of long, lat, group, and one of my variables from my aesthetics. I understand that tooltip maps only whats in the aesthetics. All I want to do is to customize the tooltip so it displays some of the variables in my dataset (including those not mapped to aesthetics) and

问题 I am plotting a certain categorical value over the map of a city. The line of code I use to plot is the following: fig = plt.figure(figsize=(12, 12)) ax = plt.gca() urban_data.plot(column="category", cmap="viridis", ax=ax, categorical=True, / k=4, legend=True, linewidth=0.5, / legend_kwds={'fontsize':'19', 'loc':'lower left'}) where urban data is a geopandas dataframe, and I am using matplotlib as plotting library. The argument legend_kwds allows me to control minor things on the legend, like

问题 So I am trying to create a Florida county-level map with borders based on a custom variable. I included an older version of the map that I am trying to create here Essentially, the map shows a region breakdown of Florida counties, with media markets outlined with a bolded-black line border. I am able to plot the regions easily enough. What I am hoping to add is a bolder, black line border around outside of the regions defined by the media market variable "MMarket", similar to that of the map

问题 My goal here is to create a choropleth map of Canada in Python. Suppose I have a dictionary with values referring to each Canadian province/territory: myvalues={'Alberta': 1.0, 'British Columbia': 2.0, 'Manitoba': 3.0, 'New Brunswick': 4.0, 'Newfoundland and Labrador': 5.0, 'Northwest Territories': 6.0, 'Nova Scotia': 7.0, 'Nunavut': 8.0, 'Ontario': 9.0, 'Prince Edward Island': 10.0, 'Quebec': 11.0, 'Saskatchewan': 12.0, 'Yukon': 13.0} Now I want to color each province based on the

问题 My problem is that suburbs are not displaying the correct color on the Folium map. For example, Dandenong and Frankston should be shaded with the darkest color as they have the highest count in the dataframe, but they are shaded with a lighter color. The dataframe is missing some suburbs. Those suburbs are being colored with the darkest color. Another problem is the csv has all suburbs in UPPERCASE but the geojson has a mixture of cases such as "Frankston", "St Kilda", or "McKinnon". It would

问题 Example: I want to plot two tmap plots side by side, which are generated by this code. library(tmap) library(gridExtra) data(World) plot1= tm_shape(World, projection = "merc") + tm_layout("", inner.margins=c(-1.72, -2.05, -0.75, -1.56)) + tm_borders(alpha = 0.3, lwd=2) plot2= tm_shape(World, projection = "merc") + tm_layout("", inner.margins=c(-1.72, -2.05, -0.75, -1.56)) + tm_borders(alpha = 0.3, lwd=2) plot1 and plot2 work fine as single stand-alone plots: Problem: I have problems to put

问题 I'm trying to make a choropleth map, but how can I set the size of the map? Now I've this map: I would like expand the map to all the space, I read the documentations but I didn't find a solution. This is my code: var data = [{ type: 'choropleth', locationmode: 'country names', locations: unpack(output, 'label'), z: unpack(output, 'nres'), text: unpack(output, 'nres') }]; var layout = { geo: { projection: { type: 'equirectangular' } } }; Plotly.plot(mapChoropleth, data, layout, { showLink:

问题 I'm trying to make a choropleth map, but how can I set the size of the map? Now I've this map: I would like expand the map to all the space, I read the documentations but I didn't find a solution. This is my code: var data = [{ type: 'choropleth', locationmode: 'country names', locations: unpack(output, 'label'), z: unpack(output, 'nres'), text: unpack(output, 'nres') }]; var layout = { geo: { projection: { type: 'equirectangular' } } }; Plotly.plot(mapChoropleth, data, layout, { showLink: