DataFramesMeta

.github/workflows/main.yml

@@ -24,9 +24,9 @@ jobs:
       - name: Download occurrence data
         run: julia --project scripts/get_occurrences.jl
       - name: Upload occurrence data
-        uses: actions/upload-artifact@v1
+        uses: actions/upload-artifact@v2
         with:
-          name: occurrence_data
+          name: project_data
           path: occurrences.csv
   draw_the_figure:
     needs: [get_data]
@@ -44,29 +44,25 @@ jobs:
       - name: Donwload occurrence data
         uses: actions/download-artifact@v2
         with:
-          name: occurrence_data
+          name: project_data
       - name: Make the figure
         run: python scripts/make_plot.py
       - name: Upload map
-        uses: actions/upload-artifact@v1
+        uses: actions/upload-artifact@v2
         with:
-          name: map
+          name: project_data
           path: map.png
   publish_webpage:
     needs: [get_data, draw_the_figure]
     runs-on: ubuntu-latest
+    if: github.ref == 'refs/heads/master'
     steps:
       - name: Checkout
         uses: actions/checkout@v2
-      - name: Download occurrence data
-        uses: actions/download-artifact@v2
-        with:
-          name: occurrence_data
-          path: dist
-      - name: Download map
+      - name: Download data
         uses: actions/download-artifact@v2
         with:
-          name: map
+          name: project_data
           path: dist
       - name: Deploy the webpage from the dist folder
         uses: peaceiris/actions-gh-pages@v3

Project.toml

@@ -1,3 +1,4 @@
 [deps]
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
+"DataFramesMeta" = "1313f7d8-7da2-5740-9ea0-a2ca25f37964"

scripts/get_occurrences.jl

@@ -1,5 +1,6 @@
 import GBIF
 using DataFrames
+using DataFramesMeta
 import CSV
 
 
@@ -16,21 +17,12 @@ GBIF.occurrences!(occ)
 GBIF.occurrences!(occ)
 GBIF.occurrences!(occ)
 
-raw_data = DataFrame(occ)
+data = @linq DataFrame(occ) |>
+  where(:rank .== "SPECIES") |>
+  select([:name, :longitude, :latitude]) |>
+  where(:name .∈ ["Amphiprion ".*["melanopus", "ocellaris", "clarkii"]]) |>
+  where(:longitude .> 0.0)
+
 
-# JUDGE NOT LEST YE BE JUDGED
-raw_data = raw_data[raw_data.rank .== "SPECIES", :]
-# Seriously
-ok_names = "Amphiprion ".*["melanopus", "ocellaris", "clarkii"]
-# It's 10pm
-ok_index = map(f -> in(f, ok_names), raw_data.name)
-# I'm so tired
-raw_data = raw_data[ok_index, :]
-# Can 2020 be over yet, please?
-raw_data = raw_data[raw_data.longitude.>=0.0, :]
-# I really should have used Query.jl or DataFramesMeta.jl is what I'm trying to say
-
-# Save only the columns we care about
-data = select(raw_data, [:name, :longitude, :latitude])
 CSV.write("occurrences.csv", data; writeheader=true)