Commit e4138b414895888ad5c512957d6dfcabd5371e3a
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910464a0
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chore: cleanup
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flaskr/static/js/plots/emissions-per-distance.js
... | ... | @@ -144,19 +144,19 @@ function draw_emissions_per_distance(divId, csvUrl) { |
144 | 144 | let attendeeSum = 0; |
145 | 145 | let rows = []; |
146 | 146 | |
147 | - const on_csv_loading = function (data) { | |
148 | - let trainAttendee = parseInt(data["train trips_amount"]); | |
149 | - let planeAttendee = parseInt(data["plane trips_amount"]); | |
147 | + const on_csv_datum = function (datum) { | |
148 | + let trainAttendee = parseInt(datum["train trips_amount"]); | |
149 | + let planeAttendee = parseInt(datum["plane trips_amount"]); | |
150 | 150 | if (trainAttendee === 0 && planeAttendee === 0) { |
151 | 151 | return; |
152 | 152 | } |
153 | 153 | let attendeeNumber = trainAttendee + planeAttendee; |
154 | - let distance_km = data.distance_km / attendeeNumber; | |
155 | - let co2_kg = parseFloat(data.co2_kg); | |
154 | + let distance_km = datum.distance_km / attendeeNumber; | |
155 | + let co2_kg = parseFloat(datum.co2_kg); | |
156 | 156 | if (co2_kg === "NaN" || distance_km / 500 > 37 || distance_km === "NaN") { |
157 | 157 | return; |
158 | 158 | } |
159 | - rows.push(data); | |
159 | + rows.push(datum); | |
160 | 160 | maxDistance = Math.max(maxDistance, distance_km); |
161 | 161 | emissionsSum += co2_kg; |
162 | 162 | |
... | ... | @@ -290,11 +290,8 @@ function draw_emissions_per_distance(divId, csvUrl) { |
290 | 290 | addVerticalLineAndListenCursor(x, attendeeNumberPerGroup, attendeeSum); |
291 | 291 | }; |
292 | 292 | |
293 | - d3.csv(csvUrl, on_csv_loading).then(on_csv_ready); | |
294 | - // d3.queue() | |
295 | - // .defer(d3.csv, csvUrl, on_csv_loading) | |
296 | - // .await(on_csv_ready); | |
297 | - | |
293 | + d3.csv(csvUrl, on_csv_datum) | |
294 | + .then(on_csv_ready); | |
298 | 295 | } |
299 | 296 | }; |
300 | 297 | ... | ... |