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@ -1,5 +1,5 @@
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#!/usr/bin/env julia
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#
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using DataFrames
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using Dates
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using CSV
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@ -122,7 +122,19 @@ function plot_station_data_to_axis(ax, station_name, station_map, station_x, sta
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ax.title = "$station_name $obs_time_s"
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wind_rad = deg2rad(90 - df.WDIR[1])
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wind_mph = df.WSPD[i]
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txt = @sprintf "Air: %.1f F, Water: %.1f F, Wind: %.1f mph" df.ATMP[i] df.WTMP[i] wind_mph
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if ismissing(wind_mph) || ismissing(wind_rad)
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wind_mph = 0.0
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wind_rad = 0
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end
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atmp = df.ATMP[i]
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wtmp = df.WTMP[i]
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if ismissing(atmp)
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atmp = 0.0
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end
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if ismissing(wtmp)
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wtmp = 0.0
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end
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txt = @sprintf "Air: %.1f F, Water: %.1f F, Wind: %.1f mph" atmp wtmp wind_mph
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wind_vec = 50 * Vec2f(cos(wind_rad), sin(wind_rad)) * wind_mph / 10
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tooltip!(ax, station_x, station_y, txt; offset=10)
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arrows!(ax, [Point2f(station_x, station_y)], [wind_vec], fxaa=true,
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@ -130,22 +142,27 @@ function plot_station_data_to_axis(ax, station_name, station_map, station_x, sta
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return ax
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end
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function save_animation(station_name, out_path, days, real_hour_per_animation_second=1)
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function save_animation(station_name, out_path, hours, real_hour_per_animation_second)
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lat, lon = get_station_lat_lon(station_name)
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station_map, station_x, station_y = get_map(lat, lon, 14)
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df = get_realtime_dataframe(station_name; timezone=tz"America/New_York")
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diff_hours = (df.TIME[0] - df.TIME[1]).value / 1000 / 3600
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fps = real_hour_per_animation_second / diff_hours
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nframes = fps * days * 24 * 3600
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diff_hours = (df.TIME[1] - df.TIME[2]).value / 1000 / 3600
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stride = Int(ceil(real_hour_per_animation_second / diff_hours))
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println("diff hours ", diff_hours)
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println("data size ", size(df, 1))
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println("stride ", stride)
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end_index = Int(min(stride * hours + 1, size(df, 1)))
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data_indexes = range(end_index, 1; step=-stride)
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println("data indexes ", data_indexes)
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fig = Figure(resolution=size(station_map))
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ax = Axis(fig[1, 1])
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ax = CairoMakie.Axis(fig[1, 1])
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hidespines!(ax)
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hidedecorations!(ax)
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record(fig, out_path, range(1, nframes); framerate=fps) do i
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record(fig, out_path, data_indexes; framerate=1) do i
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plot_station_data_to_axis(ax, station_name, station_map,
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station_x, station_y, df, nframes - i + 1)
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station_x, station_y, df, end_index - i + 1)
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end
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end
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@ -157,16 +174,20 @@ function main()
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station_name = ARGS[1]
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out_fname = "$station_name.png"
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if (length(ARGS) > 1)
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if length(ARGS) > 1
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out_fname = ARGS[2]
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end
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if any(endswith.(out_fname, [".gif", ".webm", ".mp4", ".mkv"]))
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save_animation(station_name, out_fname, 24, 1)
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else
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lat, lon = get_station_lat_lon(station_name)
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station_map, station_x, station_y = get_map(lat, lon, 14)
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df = get_realtime_dataframe(station_name; timezone=tz"America/New_York")
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fig = plot_station_data(station_name, station_map, station_x, station_y,
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df, 1)
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save("$station_name.png", fig)
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save(out_fname, fig)
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end
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end
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main()
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