diff --git a/docs/src/assets/skew_stats.html b/docs/src/assets/skew_stats.html
index 6f23b95..375e3b7 100644
--- a/docs/src/assets/skew_stats.html
+++ b/docs/src/assets/skew_stats.html
@@ -3,11 +3,11 @@
diff --git a/examples/clock_skew_stats.svg b/examples/clock_skew_stats.svg
index cd4a945..451bc2f 100644
--- a/examples/clock_skew_stats.svg
+++ b/examples/clock_skew_stats.svg
@@ -2,1347 +2,1290 @@
diff --git a/examples/skew_stats.jl b/examples/skew_stats.jl
index df52082..3e6c267 100644
--- a/examples/skew_stats.jl
+++ b/examples/skew_stats.jl
@@ -23,6 +23,7 @@ begin
using Statistics
using PlutoUI
using Random
+ using Printf
end
# โโโก f25e7e08-8a73-4cac-ac7c-d310725c558d
@@ -190,7 +191,7 @@ md"""
# โโโก 420dce0e-4757-48d9-84ec-7ddfac2fdff6
let
skew_widths = df_skews.width |> skipmissing |> collect
- bins = range(0, maximum(skew_widths), step = 1 / 57)# .- 0.01
+ bins = range(0, maximum(skew_widths) + 1 / 57, step = 1 / 57)# .- 0.01
hist(
skew_widths,
bins = bins,
@@ -255,25 +256,6 @@ df_skew_stats = let
df
end
-# โโโก 893253c3-f0b2-401f-b892-b23291bcf5c1
-fig_skew_stats = let
- fig, ax, sc = scatter(
- df_skew_stats.mean_skew,
- df_skew_stats.std_skew,
- marker = :x,
- color = (Makie.wong_colors()[1], 0.8),
- axis = (title = "skew mean vs std", xlabel = "mean", ylabel = "std"),
- )
- text!(
- ax,
- df_skew_stats.mean_skew,
- df_skew_stats.std_skew,
- text = string.(df_skew_stats.psbid),
- color = (:gray, 0.5),
- )
- fig
-end
-
# โโโก 6467dcaa-6bd6-45c7-8c08-b310a09b8b0b
save("clock_skew_stats.svg", fig_skew_stats)
@@ -493,9 +475,109 @@ end
# โโโก aa9b78bc-8d66-4df2-bd06-1cbf21190488
filter(:width => (x -> ismissing(x) || x < 0.06), df_skews_selected)
+# โโโก 86437ee6-ccea-43fa-bd93-d86fe055f28d
+md"""
+# ใใญใใใพใจใ
+- ไฝใใใฎ็ฐๅธธใ่ฆใใใใใฎใใในใฆ้คๅคใใฆใใญใใ
+
+!!! todo
+ skewๆธฌๅฎใไฝฟใ็ฉใซใชใใใฎใใฉใฐใใใผใฟใใผในใซใใใ๏ผ
+"""
+
+# โโโก 2a24c277-6679-49f3-b387-6937b7661a25
+invalid_measurements = [215, 291, 442, 460, 462, 545, 799, 802, 444, 255, 435]
+
+# โโโก 13b4112f-96ab-41a1-8ef1-d940771f6ece
+df_skews_selected_valids = let
+ df = filter(:psbid => !in(invalid_measurements), df_skews_selected)
+ df
+end
+
+# โโโก 6a856a55-2611-41d0-a2c7-3645c066fc3c
+begin
+ @assert all(!ismissing, df_skews_selected_valids.skew)
+ @assert all(!ismissing, df_skews_selected_valids.width)
+ @assert all(==(1), df_skews_selected_valids.riseup)
+end
+
+# โโโก 4a4ef945-b312-44ed-ab62-ce01fc33f926
+let
+ bins = range(
+ minimum(df_skews_selected_valids.skew) - 5 / 57,
+ maximum(df_skews_selected_valids.skew) + 5 / 57,
+ step = 2 / 57,
+ )
+ fig = Figure()
+ ax = Axis(
+ fig[1, 1],
+ title = "skews",
+ limits = (nothing, (nothing, nothing)),
+ xlabel = "skew / ns",
+ )
+ sh1 = stephist!(ax, df_skews_selected_valids.skew, bins = bins)
+ Legend(
+ fig[1, 1],
+ [sh1],
+ ["""
+ n = $(nrow(df_skews_selected_valids))
+ ฮผ = $(@sprintf "%.2g" mean(df_skews_selected_valids.skew))
+ ฯ = $(@sprintf "%.2g" std(df_skews_selected_valids.skew))
+ """],
+ tellwidth = false,
+ tellheight = false,
+ halign = :right,
+ valign = :top,
+ margin = (10, 10, 10, 10),
+ )
+ fig
+end
+
+# โโโก 13bb4978-b98d-44a3-a4b6-4241cadc609b
+let
+ bins = range(
+ minimum(df_skews_selected_valids.width) - 1 / 57,
+ maximum(df_skews_selected_valids.width) + 2 / 57,
+ step = 1 / 57,
+ )
+ fig = Figure()
+ ax = Axis(
+ fig[1, 1],
+ title = "rise up span",
+ xlabel = "time / ns",
+ xticks = (
+ bins,
+ string.(round.(bins, digits = 3)),# .* "," .* string.(round.(Int64, bins * 57)),
+ ),
+ xticklabelrotation = ฯ / 3,
+ )
+ h1 = hist!(
+ ax,
+ df_skews_selected_valids.width,
+ bins = bins,
+ bar_labels = :y,
+ label_formatter = x -> "$(round(Int, x))",
+ flip_labels_at = 330,
+ )
+ Legend(
+ fig[1, 1],
+ [h1],
+ ["""
+ n = $(nrow(df_skews_selected_valids))
+ ฮผ = $(@sprintf "%.2g" mean(df_skews_selected_valids.width))
+ ฯ = $(@sprintf "%.2g" std(df_skews_selected_valids.width))
+ """],
+ tellwidth = false,
+ tellheight = false,
+ halign = :right,
+ valign = :top,
+ margin = (10, 10, 10, 10),
+ )
+ fig
+end
+
# โโโก 6c3c7669-d594-425d-bf05-9aa217c7656e
md"""
-## turn on curves
+# turn on curves
- lines on
- the minimum and maximum skews
- the minimum and maximum widths
@@ -578,6 +660,52 @@ let
fig
end
+# โโโก 19f85f1b-07d3-48c2-9ca6-a5a8eb1ab746
+fig_skew_stats = let
+ fig, ax, sc = scatter(
+ df_skew_stats.mean_skew,
+ df_skew_stats.std_skew,
+ marker = :x,
+ color = (Makie.wong_colors()[1], 0.8),
+ axis = (
+ title = "skew mean vs std",
+ xlabel = "mean",
+ ylabel = "std",
+ limits = ((-0.6, 1.2), (-0.01, 0.09)),
+ ),
+ )
+ text!(
+ ax,
+ df_skew_stats.mean_skew,
+ df_skew_stats.std_skew,
+ text = string.(df_skew_stats.psbid),
+ color = (:gray, 0.5),
+ )
+ fig
+end
+
+# โโโก 893253c3-f0b2-401f-b892-b23291bcf5c1
+# โ โโก disabled = true
+#=โ โโก
+fig_skew_stats = let
+ fig, ax, sc = scatter(
+ df_skew_stats.mean_skew,
+ df_skew_stats.std_skew,
+ marker = :x,
+ color = (Makie.wong_colors()[1], 0.8),
+ axis = (title = "skew mean vs std", xlabel = "mean", ylabel = "std"),
+ )
+ text!(
+ ax,
+ df_skew_stats.mean_skew,
+ df_skew_stats.std_skew,
+ text = string.(df_skew_stats.psbid),
+ color = (:gray, 0.5),
+ )
+ fig
+end
+ โ โโก =#
+
# โโโก Cell order:
# โโf25e7e08-8a73-4cac-ac7c-d310725c558d
# โ โ7c69d12c-80a5-11ef-2674-e155a3483342
@@ -618,6 +746,7 @@ end
# โ โ92c2ac3f-8034-4e9e-aadb-8bb166fbc948
# โ โ893253c3-f0b2-401f-b892-b23291bcf5c1
# โ โ6467dcaa-6bd6-45c7-8c08-b310a09b8b0b
+# โ โ19f85f1b-07d3-48c2-9ca6-a5a8eb1ab746
# โ โ79e2f5d8-4609-4e9f-949e-6dc1f88c0b19
# โ โeae649db-6b2b-4530-83a8-3438f29423cc
# โ โd607e10e-854f-4652-9a34-9e22a188e315
@@ -637,5 +766,11 @@ end
# โ โ07342d98-3889-4a19-8419-6d113fffb42e
# โ โ939aba6b-b03c-42b6-83b3-9cea5f4eb858
# โ โaa9b78bc-8d66-4df2-bd06-1cbf21190488
+# โ โ86437ee6-ccea-43fa-bd93-d86fe055f28d
+# โ โ2a24c277-6679-49f3-b387-6937b7661a25
+# โ โ13b4112f-96ab-41a1-8ef1-d940771f6ece
+# โ โ6a856a55-2611-41d0-a2c7-3645c066fc3c
+# โ โ4a4ef945-b312-44ed-ab62-ce01fc33f926
+# โ โ13bb4978-b98d-44a3-a4b6-4241cadc609b
# โ โ6c3c7669-d594-425d-bf05-9aa217c7656e
# โ โe9b3f541-d87d-4424-8b82-be1b7b3273d8