choropleth

问题 here is a link to my data https://docs.google.com/document/d/1oIiwiucRkXBkxkdbrgFyPt6fwWtX4DJG4nbRM309M20/edit?usp=sharing My problem is that when I run this in a Jupyter Notebook. I get just the USA map with the colour bar and the lakes in blue. No data is on the map, not the labels nor the actual z data. Here is my header: import plotly.graph_objs as go import cufflinks as cf from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot %matplotlib inline init_notebook_mode

问题 here is a link to my data https://docs.google.com/document/d/1oIiwiucRkXBkxkdbrgFyPt6fwWtX4DJG4nbRM309M20/edit?usp=sharing My problem is that when I run this in a Jupyter Notebook. I get just the USA map with the colour bar and the lakes in blue. No data is on the map, not the labels nor the actual z data. Here is my header: import plotly.graph_objs as go import cufflinks as cf from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot %matplotlib inline init_notebook_mode

问题 I've got a problem that my choropleth map is not rendering correctly. I've got a bunch of ride-hailing data of the city of Chicago and I would like to create a choropleth map by census tract. I checked that the key_on feature is "geoid10" in the geojson file and ensured that the Pickup Census Tracts are all matching. I also ensured that the data types of the key in the geojson file and the dataframe are the same (they are both objects) Yet still, my choropleth map renders a black/grey tone

问题 I'm trying to produce a choropleth map of county level data on COVID-19 infections using R. I'm a relative newbie to R so.... I've done some fairly basic stuff with ggmap to plot spatial data, but never anything quite like this. Typically I just have points of interest that I need to overlay on a map, so I can use geom_point and their lat/lon. In this case I need to construct the underlying map and then fill regions and I'm struggling with doing that in the ggplot world. I've followed some

问题 I am trying to create choropleth maps. Below is an example that works: df = px.data.gapminder().query("year==2007") fig = go.Figure(data=go.Choropleth( locations=happy['iso'], # Spatial coordinates z = happy['Happiness'].astype(float), # Data to be color-coded colorbar_title = "Happiness Score", )) fig.update_layout( title_text = 'Life Expectancy in 2007' ) fig.show() However, I would like to create a dropdown menu that will change the plotted values between different variables (e.g., Life

问题 I need to make a graphical representation of data distributed in Brazil, which is my country. I found that plotly can do this job, but when I went to research how to use plotly, every tutorial was using the locationmode attribute as 'USA-states'. Is there a list with countries codes, so I can go after to see which is the right way of calling it? 回答1: From docs: https://plot.ly/python/reference/#scattergeo-locationmode locationmode ( enumerated : "ISO-3" | "USA-states" | "country names" )

问题 I need to make a graphical representation of data distributed in Brazil, which is my country. I found that plotly can do this job, but when I went to research how to use plotly, every tutorial was using the locationmode attribute as 'USA-states'. Is there a list with countries codes, so I can go after to see which is the right way of calling it? 回答1: From docs: https://plot.ly/python/reference/#scattergeo-locationmode locationmode ( enumerated : "ISO-3" | "USA-states" | "country names" )

问题 I am trying to create a choropleth map using plotly.express When the figure loads it only shows one color (bottom of the color scale) and shows the outline of a singular region. This clearly means it is reading the geojson but not displaying properly. My df looks as such: NUTS level nuts318cd ... 2016.0 2017 5 NUTS3 UKC11 ... 4457.0 4569.0 6 NUTS3 UKC12 ... 4092.0 4137.0 7 NUTS3 UKC13 ... 1692.0 1697.0 8 NUTS3 UKC14 ... 7913.0 8088.0 10 NUTS3 UKC21 ... 5872.0 6015.0 .. ... ... ... ... ... 230

问题 I have 2 shapefiles for the UK: In [3]: # SHAPEFILE 1: ...: # WESTMINISTER PARLIAMENTARY CONSTITUENCY UK SHAPEFILE ...: shapefile1 = "../Westminster_Parliamentary_Constituencies_De ...: cember_2017_UK_BSC_SUPER_SMALL/Westminster_Parliamentary_Constituencies_ ...: December_2017_UK_BSC.shp" In [4]: # SHAPEFILE 2: ...: # LAD19 UK SHAPEFILE ...: shapefile2 = "../03_Maps_March_2020/level3_LAD19_CONTAINS_4_L ...: EVELS_OF_DETAIL/Local_Authority_Districts_December_2019_Boundaries_UK_BU ...: C/Local

问题 I'm trying to develop an interactive choropleth in a Shiny application in R. I've tried with plotly, gVis and rCharts, but still without any luck. I need to visualise it for Sweden right now, but I probably need it for other countries as well later on. This is what I have so far for gvisGeoMap: polygons <- readOGR("/ggshape", layer="SWE_adm1") polygons <- fortify(polygons, region="ID_1") data.poly <- as.data.frame(polygons) data.poly <- data.poly[,c(1,2)] data.poly.final <- data.frame