albers | generative images based on the works of Josef and Anni | Time Series Database library

I am using Angular based Storybook. All I wanted to do is to re-render the chart based on the values given in the Storybook's control. But the Chart remains static even after changing the value of the control. I tried so many workarounds, but still am at square one. The chart I wanted to display is a choropleth. I have used Chartjs and chartjs-chart-geo library to display the chart.

My component in Storybook :

I am creating a map using geom_polygon:

I am trying to create a map using ggplot and layering in my lat/lon points.

I created the map of the US without issue but when I layer in my geom_point lat/lon positions the map of the US shrinks and changes. Can someone please point me to why this is happening?

Based on the stack trace, I can see that Altair only accepts the following projections -

I have a world map build in D3.js For performance's sake I am using world-atlas 110m version, but I want to increase the map detail as I zoom in.

I also want to change projection and, therefore topojson file when I click on the United States. (That is to use geoAlbersUsa(), and render US states)

I've got some very basic functionality on changing the map projection on click, but I am struggling on how to change the topojson file.

I am geocoding a list of facilities and I want to the output to symbolize by whether they are a hospital or a clinic. Hospitals I want to appear as squares and clinics as circles. I can get my Plotly map working by mapping just one, but I'm unable to figure out how to have it plot different symbols by the facility type. I'm importing from a dataset that has the population (pop), location of the facility (location), latitude (lat), longitude (lon) and facility type (f_type). My dataset looks like this:

pop | location | lat | lon | f_type

20 | Cleveland, OH | 41.4993 | -81.6944 | hospital

Any help is appreciated.

The Daily Kos has a unique "Congressional District Hexmap - CDs - Congressional Districts (50 states) only" shapefile - https://docs.google.com/spreadsheets/d/1LrBXlqrtSZwyYOkpEEXFwQggvtR0bHHTxs9kq4kjOjw/edit#gid=1250379179 - which is perfect for our use case. But I'm running into an issue fitting it to the container size of our design. Traditionally, I take a TopoJSON file, i.e. US States, project it with an Albers USA projection (or other) and then use the container width and height to calculate the optimal path for the shapes - see below.

In this "Congressional District Hexmap" case, I believe the shapefile is already projected and therefore when I apply an Albers or Mercator projection it distorts its look and feel.

Therefore I was wondering if there is a null or default projection that will still allow me to use the fitSize() helper function to scale the shapes to the container?

I have written the following code to heat heatmap of US-States. But I am unable to get the output image in Google Colab.

State codes are two alphabet codes for a particular state of the US.

I have a shapefile of historical county boundaries with a valid .prj file. I can open it in ArcGIS and find that the projection is USA Contiguous Albers Equal Area Conic. I can also plot the shapefile after I have read it into geopandas and the projection looks correct.

However, I can't print the name of the coordinate system in my Python IDE.

If you read in the built in data from geopandas

world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))

and then run

print(world.crs)

you get

{'init': 'epsg:4326'}

But if I run

counties1910 = gpd.read_file('counties1910.shp')

print(counties1910.crs)

all I get is

{}

Additionally, I have found that while I can manually run

counties1910.crs = {'init' :'epsg:102003'}

without an error, I do get an error if I try to reproject counties1910:

counties1910 = counties1910.to_crs("EPSG:4326")