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Fix broken links #21

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2 changes: 1 addition & 1 deletion fsharp/filled-area-on-mapbox.md
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Expand Up @@ -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 <a href="url" target="https://www.mapbox.com/studio">Mapbox Access Token</a>.
To plot on Mapbox maps with Plotly you may need a Mapbox account and a public <a href="https://www.mapbox.com/studio">Mapbox Access Token</a>.

There are three different ways to show a filled area in a Mapbox map:

Expand Down
8 changes: 4 additions & 4 deletions fsharp/lines-on-mapbox.md
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Expand Up @@ -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 <a href="url" target="https://www.mapbox.com/studio">Mapbox Access Token</a>.
To plot on Mapbox maps with Plotly you may need a Mapbox account and a public <a href="https://www.mapbox.com/studio">Mapbox Access Token</a>.


# Lines on Mapbox maps
Expand All @@ -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"))

Expand All @@ -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
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44 changes: 22 additions & 22 deletions fsharp/mapbox-county-choropleth.md
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Expand Up @@ -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 <a href="url" target="https://www.mapbox.com/studio">Mapbox Access Token</a>
To plot on Mapbox maps with Plotly you may need a Mapbox account and a public <a href="https://www.mapbox.com/studio">Mapbox Access Token</a>


# Introduction: main parameters for choropleth tile maps
Expand Down Expand Up @@ -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")

Expand Down Expand Up @@ -107,29 +107,29 @@ 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
|> Array.ofSeq

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))
)

```
Expand All @@ -146,35 +146,35 @@ 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
|> Array.ofSeq

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")
Expand All @@ -189,25 +189,25 @@ 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
|> Array.ofSeq

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)
)

```
2 changes: 1 addition & 1 deletion fsharp/mapbox-density-heatmaps.md
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Expand Up @@ -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 <a href="url" target="https://www.mapbox.com/studio">Mapbox Access Token</a>.
To plot on Mapbox maps with Plotly you may need a Mapbox account and a public <a href="https://www.mapbox.com/studio">Mapbox Access Token</a>.


# Stamen Terrain base map (no token needed): density mapbox with Plotly.NET
Expand Down