diff --git a/fsharp/filled-area-on-mapbox.md b/fsharp/filled-area-on-mapbox.md
index c87fefd..053b70f 100644
--- a/fsharp/filled-area-on-mapbox.md
+++ b/fsharp/filled-area-on-mapbox.md
@@ -38,7 +38,7 @@ jupyter:
```
# Mapbox Access Token and Base Map Configuration
-To plot on Mapbox maps with Plotly you may need a Mapbox account and a public Mapbox Access Token.
+To plot on Mapbox maps with Plotly you may need a Mapbox account and a public Mapbox Access Token.
There are three different ways to show a filled area in a Mapbox map:
diff --git a/fsharp/lines-on-mapbox.md b/fsharp/lines-on-mapbox.md
index 02f0e73..547f90c 100644
--- a/fsharp/lines-on-mapbox.md
+++ b/fsharp/lines-on-mapbox.md
@@ -39,7 +39,7 @@ jupyter:
```
# Mapbox Access Token and Base Map Configuration
-To plot on Mapbox maps with Plotly you may need a Mapbox account and a public Mapbox Access Token.
+To plot on Mapbox maps with Plotly you may need a Mapbox account and a public Mapbox Access Token.
# Lines on Mapbox maps
@@ -52,7 +52,7 @@ open Plotly.NET.LayoutObjects
let data = CsvFile.Load("https://raw.githubusercontent.com/plotly/datasets/master/us-cities-top-1k.csv")
-let getData state = data.Rows
+let getData state = data.Rows
|> Seq.filter (fun row -> row.GetColumn("State") = state)
|> Seq.map (fun row -> row.GetColumn("lon"),row.GetColumn("lat"))
@@ -74,9 +74,9 @@ let ohioData = getData "Ohio"
This example uses Chart.ScatterMapbox and sets the mode attribute to a combination of markers and line.
```fsharp dotnet_interactive={"language": "fsharp"}
-[
+[
Chart.ScatterMapbox(longitudes = [ 10; 20; 30 ], latitudes = [ 10; 20; 30 ], mode = StyleParam.Mode.Lines_Markers)
- Chart.ScatterMapbox(longitudes = [ -50; -60; 40 ], latitudes = [ 30; 10; -20 ], mode = StyleParam.Mode.Lines_Markers)
+ Chart.ScatterMapbox(longitudes = [ -50; -60; 40 ], latitudes = [ 30; 10; -20 ], mode = StyleParam.Mode.Lines_Markers)
]
|> Chart.combine
diff --git a/fsharp/mapbox-county-choropleth.md b/fsharp/mapbox-county-choropleth.md
index e3c27a5..cb8ccfa 100644
--- a/fsharp/mapbox-county-choropleth.md
+++ b/fsharp/mapbox-county-choropleth.md
@@ -42,7 +42,7 @@ jupyter:
A Choropleth Map is a map composed of colored polygons. It is used to represent spatial variations of a quantity. This page documents how to build tile-map choropleth maps, but you can also build outline choropleth maps using our non-Mapbox trace types.
# Mapbox Access Tokens and Base Map Configuration
-To plot on Mapbox maps with Plotly you may need a Mapbox account and a public Mapbox Access Token
+To plot on Mapbox maps with Plotly you may need a Mapbox account and a public Mapbox Access Token
# Introduction: main parameters for choropleth tile maps
@@ -79,7 +79,7 @@ Here we load unemployment data by county, also indexed by FIPS code.
open Deedle
open FSharp.Data
-let data =
+let data =
Http.RequestString "https://raw.githubusercontent.com/plotly/datasets/master/fips-unemp-16.csv"
|> fun csv -> Frame.ReadCsvString(csv,true,separators=",",schema="fips=string,unemp=float")
@@ -107,21 +107,21 @@ open FSharp.Data
open Deedle
open Plotly.NET.LayoutObjects
-let data =
+let data =
Http.RequestString "https://raw.githubusercontent.com/plotly/datasets/master/fips-unemp-16.csv"
|> fun csv -> Frame.ReadCsvString(csv,true,separators=",",schema="fips=string,unemp=float")
-
-let geoJson =
+
+let geoJson =
Http.RequestString "https://raw.githubusercontent.com/plotly/datasets/master/geojson-counties-fips.json"
- |> JsonConvert.DeserializeObject
-
-let locations: string [] =
+ |> JsonConvert.DeserializeObject
+
+let locations: string [] =
data
|> Frame.getCol "fips"
|> Series.values
|> Array.ofSeq
-let z: int [] =
+let z: int [] =
data
|> Frame.getCol "unemp"
|> Series.values
@@ -129,7 +129,7 @@ let z: int [] =
Chart.ChoroplethMapbox(z=z,geoJson=geoJson,locations=locations,FeatureIdKey="id",Colorscale=StyleParam.Colorscale.Viridis,ZMin=0.,ZMax=12.)
|> Chart.withMapbox(
- Mapbox.init(Style=StyleParam.MapboxStyle.CartoPositron,Zoom=3.,Center=(-95.7129,37.0902))
+ Mapbox.init(Style=StyleParam.MapboxStyle.CartoPositron,Zoom=3.,Center=(-95.7129,37.0902))
)
```
@@ -146,21 +146,21 @@ open FSharp.Data
open Deedle
open Newtonsoft.Json
-let data =
+let data =
Http.RequestString "https://raw.githubusercontent.com/plotly/datasets/master/election.csv"
|> fun csv -> Frame.ReadCsvString(csv,true,separators=",")
-let geoJson =
+let geoJson =
Http.RequestString "https://raw.githubusercontent.com/plotly/datasets/master/election.geojson"
- |> JsonConvert.DeserializeObject
+ |> JsonConvert.DeserializeObject
-let locationsGeoJSON: string [] =
+let locationsGeoJSON: string [] =
data
|> Frame.getCol "district"
|> Series.values
|> Array.ofSeq
-let zGeoJSON: int [] =
+let zGeoJSON: int [] =
data
|> Frame.getCol "Bergeron"
|> Series.values
@@ -168,13 +168,13 @@ let zGeoJSON: int [] =
Chart.ChoroplethMapbox(
locations = locationsGeoJSON,
- z = zGeoJSON,
+ z = zGeoJSON,
geoJson = geoJson,
Colorscale= StyleParam.Colorscale.Cividis,
FeatureIdKey="properties.district")
-
+
|> Chart.withMapbox(
- Mapbox.init(Style=StyleParam.MapboxStyle.CartoPositron,Zoom=9.,Center=(-73.7073,45.5517))
+ Mapbox.init(Style=StyleParam.MapboxStyle.CartoPositron,Zoom=9.,Center=(-73.7073,45.5517))
)
|> Chart.withColorBarStyle(Title.init(Text="Bergeron Votes"))
|> Chart.withTitle(title="2013 Montreal Election")
@@ -189,17 +189,17 @@ open Newtonsoft.Json
let token = "pk.eyJ1IjoibWFoZXNocHVubmEiLCJhIjoiY2t0NXB4eXA0MGFzYjJxcXN3b2xpNzc2ZSJ9.xliv67HWVdNd_tfmfgMXmA" //# you will need your own token
-let data =
+let data =
Http.RequestString "https://raw.githubusercontent.com/plotly/datasets/master/fips-unemp-16.csv"
|> fun csv -> Frame.ReadCsvString(csv,true,separators=",",schema="fips=string,unemp=float")
-let locations: string [] =
+let locations: string [] =
data
|> Frame.getCol "fips"
|> Series.values
|> Array.ofSeq
-let z: int [] =
+let z: int [] =
data
|> Frame.getCol "unemp"
|> Series.values
@@ -207,7 +207,7 @@ let z: int [] =
Chart.ChoroplethMapbox(z=z,geoJson=geoJson,locations=locations,FeatureIdKey="id",Colorscale=StyleParam.Colorscale.Viridis,ZMin=0.,ZMax=12.)
|> Chart.withMapbox(
- Mapbox.init(Style=StyleParam.MapboxStyle.MapboxLight,Zoom=3.,Center=(-95.7129,37.0902),AccessToken=token)
+ Mapbox.init(Style=StyleParam.MapboxStyle.MapboxLight,Zoom=3.,Center=(-95.7129,37.0902),AccessToken=token)
)
```
diff --git a/fsharp/mapbox-density-heatmaps.md b/fsharp/mapbox-density-heatmaps.md
index d1b41ae..d674eca 100644
--- a/fsharp/mapbox-density-heatmaps.md
+++ b/fsharp/mapbox-density-heatmaps.md
@@ -39,7 +39,7 @@ jupyter:
```
# Mapbox Access Token and Base Map Configuration
-To plot on Mapbox maps with Plotly you may need a Mapbox account and a public Mapbox Access Token.
+To plot on Mapbox maps with Plotly you may need a Mapbox account and a public Mapbox Access Token.
# Stamen Terrain base map (no token needed): density mapbox with Plotly.NET