Seismakie Beta

.gitignore

@@ -1,3 +1,3 @@
-/Manifest.toml
+*Manifest.toml
 /docs/Manifest.toml
 /docs/build/

Project.toml

@@ -4,7 +4,9 @@ authors = ["Firas <[email protected]> and contributors"]
 version = "1.0.0-DEV"
 
 [deps]
-CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
+FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
+Makie = "ee78f7c6-11fb-53f2-987a-cfe4a2b5a57a"
+Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
 [compat]
 julia = "1"

examples/Project.toml

@@ -0,0 +1,5 @@
+[deps]
+CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
+PlutoUI = "7f904dfe-b85e-4ff6-b463-dae2292396a8"
+SeisMakie = "1618359f-28d0-421c-9c3d-0705aaf8cc0d"
+SeisProcessing = "3ac90d68-5a11-50c7-932e-af3f40d97fdc"

examples/tutorialSeisMakie.jl

@@ -0,0 +1,336 @@
+### A Pluto.jl notebook ###
+# v0.19.37
+
+using Markdown
+using InteractiveUtils
+
+# ╔═╡ 93296b66-bca6-11ee-0787-99798c15a928
+begin
+	using Pkg
+	Pkg.activate(".")
+	Pkg.precompile()
+	Pkg.resolve()
+	using CairoMakie
+	using SeisMakie
+
+	using SeisProcessing
+	using Random
+end
+
+# ╔═╡ 90077fbb-2384-4d12-b51a-f52758049e49
+md"""
+# SeisMakie Showcase
+"""
+
+# ╔═╡ 62e31cae-8deb-49a5-a6a1-54a772b48ff6
+md"""
+## Initializing Data
+"""
+
+# ╔═╡ e12751b3-0c8d-4655-b606-ae94d670b0d0
+begin
+	D1= SeisParabEvents()
+	D2= SeisLinearEvents()
+
+	D = SeisAddNoise( D1 + 0.1*D2,2)
+	nothing
+end
+
+# ╔═╡ c25286cd-82b5-4725-96cc-4ab6ed0aa121
+begin
+	f1, ax1 = SeisPlotTX(D, style="wiggle")
+	f1
+end
+
+# ╔═╡ 26992493-fe50-4f59-8141-9ea9e8606516
+
+
+# ╔═╡ abe64b2a-f192-4e3b-ba3e-f26286b1a38d
+md"""
+## SeisPlotTX
+"""
+
+# ╔═╡ 0c3fcf92-8924-49ac-b487-a9dc372b2739
+
+
+# ╔═╡ 25c72bf7-28ce-4f6b-b4c4-24be2f51a5f9
+begin
+	function start_and_interval()
+		ox, dx = 1000, 3
+		oy, dy = 500, 5
+		f, ax = SeisPlotTX(D, ox=ox, dx=dx, oy=oy, dy=dy, style="wiggle")
+		f
+	end
+	start_and_interval()
+end
+
+# ╔═╡ 13980acc-8aa1-4d87-ab7e-c1a599e0483d
+begin
+	function real_coords()
+		d = SeisLinearEvents()
+		dx = 10
+		dt = 0.004
+		gx = [ dx*(i-1) for i=1:size(d,2) ]
+		# create a random permutation vector to sample gx and dependent
+		p = (randsubseq(gx, 0.85) .÷ dx) .+ 1
+		gx = gx[p]
+		d = d[:, p]
+
+		f, ax = SeisPlotTX(d, gx=gx, style="wiggle")
+		f
+	end
+	real_coords()
+end
+
+# ╔═╡ 38fcc0c0-aaaa-4777-b67c-9cc5c9289a91
+begin
+	function excursion()
+		f, ax = SeisPlotTX(D, xcur=5, style="wiggle")
+		f
+	end
+	excursion()
+end
+
+# ╔═╡ 9a61b3d7-3a77-417d-b60b-7172050167e4
+begin
+	function trace_increment()
+		f, ax = SeisPlotTX(D, wiggle_trace_increment=4, style="wiggle")
+		f
+	end
+	trace_increment()
+end
+
+# ╔═╡ e6f38a8d-3db9-47ed-801e-2f434d2ef70c
+begin
+	function formatting()
+		f, ax = SeisPlotTX(D, wiggle_trace_increment=4, wiggle_line_color=:orange, wiggle_fill_color=:purple, style="wiggle")
+		f
+	end
+	formatting()
+end
+
+# ╔═╡ a66db96a-a6f1-4628-8a89-d8b2744eb3b5
+md"""
+### SeisColor
+"""
+
+# ╔═╡ 0a63424d-ab08-4dd4-bff8-5239ec312733
+begin
+	function base_color()
+		f, ax = SeisPlotTX(D, style="color")
+		f
+	end
+	base_color()
+end
+
+# ╔═╡ a546c9bc-7d20-4636-850f-f900194e97e8
+begin
+	function with_pclip()
+		f, ax = SeisPlotTX(D, pclip=95, style="color")
+		f
+	end
+	dx = 1
+	with_pclip()
+end
+
+# ╔═╡ 9aff572e-683c-4085-878f-8c87c046db6f
+begin
+	function with_vmin_vmax()
+		f, ax = SeisPlotTX(D, vmin=-0.1, vmax=0.4, style="color")
+		f
+	end
+	with_vmin_vmax()
+end
+
+# ╔═╡ 21cb4890-628a-4331-a163-77fd8b3c9e05
+begin
+	function with_different_colormap()
+		f, ax = SeisPlotTX(D, cmap=:seismic, style="color")
+		f
+	end
+	with_different_colormap()
+end
+
+# ╔═╡ 526287c9-8d28-4357-8313-6f7ba2f2f49b
+md"""
+### SeisOverlay
+You can use a combination of the arguments supplied to SeisWiggle and SeisColor
+"""
+
+# ╔═╡ 312a0197-d66c-436d-9452-7c70e4cfaded
+begin
+	function base_overlay()
+		f, ax = SeisPlotTX(D, style="overlay")
+		f
+	end
+	base_overlay()
+end
+
+# ╔═╡ 483422b0-666b-4600-a96b-9dd84ca19298
+begin
+	function overlay_with_args()
+		f, ax = SeisPlotTX(D, ox=20, dx=10, oy=500, dy=3, cmap=:seismic, vmin=-0.2, vmax=0.3, style="overlay")
+		f
+	end
+	overlay_with_args()
+end
+
+# ╔═╡ ee40ceea-7d3f-4578-902d-d1518f4c7c84
+md"""
+## SeisPlotFK
+"""
+
+# ╔═╡ e12d35e5-4ea6-42f4-a396-92e4d4ebc5c7
+begin
+	function seisplotfk_demo()
+		f, ax = SeisPlotFK(D)
+		f
+	end
+	seisplotfk_demo()
+end
+
+# ╔═╡ 3947a6c1-4bbe-4ee0-a3e6-114e481dc49c
+md"""
+## Modifying Axis Attributes
+You can edit axes as shown below. For more info, go to: https://docs.makie.org/stable/reference/blocks/axis/
+"""
+
+# ╔═╡ c0246b4f-134b-4413-9cae-f8dd1d4986b7
+begin 
+	function modifying_axis()
+		# All the functions mentioned above return an axis that can be edited
+		f, ax = SeisPlotTX(D, pclip=97)
+		ax.title = "Overlay Plot (SeisMakie)"
+		ax.xlabel = "Trace Number"
+		ax.ylabel = "Time (s)"
+		ax.xticks = [0, 50, 99]
+		f
+	end
+	modifying_axis()
+end
+
+# ╔═╡ b0f62fbd-a577-45a0-be31-aab76babb417
+md"""
+## Plotting on an Existing Figure
+"""
+
+# ╔═╡ cf728878-fefb-4d46-a52e-1d0820248d35
+begin
+	function multiple_plots()
+		# You can initialize a figure first, or use the figure returned
+		# by the first function. The position of the axis on the figure is indexed as 
+		# shown below
+		f = Figure()
+		_, wiggle_ax = SeisPlotTX(D, fig=f[1,1], wiggle_trace_increment=4, style="wiggle")
+		_, color_ax = SeisPlotTX(D, fig=f[2, 1], style="color")
+		_, overlay_ax = SeisPlotTX(D, fig=f[1,2], wiggle_trace_increment=4, style="overlay")
+
+		wiggle_ax.title = "Wiggle"
+		color_ax.title = "Color"
+		overlay_ax.title = "Overlay"
+		f
+	end
+	multiple_plots()
+end
+
+# ╔═╡ 01db2622-4b44-492d-a0f6-838018727e75
+md"""
+## Saving a figure
+"""
+
+# ╔═╡ 8dcce330-fad7-4dde-86c9-f3c732089278
+begin
+	function save_fig()
+		f, ax = SeisOverlay(D)
+		save("overlay_plot.png", f)
+	end
+end
+
+# ╔═╡ 55151c58-ce42-4473-8bee-6ae501b5a891
+md"""
+## SeisPlotAmplitude
+"""
+
+# ╔═╡ f2ac7e44-7a07-4956-9f22-526af10d1fe0
+begin
+	function spamplitude()
+		f, ax = SeisPlotAmplitude(D)
+		f
+	end
+	spamplitude()
+end
+
+# ╔═╡ 1fcb8085-02f2-4907-999a-19db73ce4563
+begin
+	function spamplitude_multiple()
+		f, ax = SeisPlotAmplitude(D, label="D")
+		SeisPlotAmplitude(D1, ax=ax, label="D1")
+		SeisPlotAmplitude(D2, ax=ax, label="D2")
+		axislegend(ax, pos = :tr) # Top right position
+		#Legend(f[1, 2], ax)
+		f
+	end
+	spamplitude_multiple()
+end
+
+# ╔═╡ 9ceb6a8a-9235-49af-94ae-aa762e96aff0
+md"""
+## SeisDifference
+"""
+
+# ╔═╡ 7bad9eb6-9201-4642-b147-193fbb5702fd
+begin 
+	function horizontal_diff()
+		f, ax = SeisDifference(D1, D2)
+		f
+	end
+	horizontal_diff()
+
+end
+
+# ╔═╡ ab183ae7-8e20-4413-b4f4-68000038974c
+begin 
+	function vertical_diff()
+		f, ax1, ax2, ax3 = SeisDifference(D1, D2, horizontal=false)
+		f
+	end
+	vertical_diff()
+
+end
+
+# ╔═╡ Cell order:
+# ╠═93296b66-bca6-11ee-0787-99798c15a928
+# ╠═c25286cd-82b5-4725-96cc-4ab6ed0aa121
+# ╠═90077fbb-2384-4d12-b51a-f52758049e49
+# ╠═62e31cae-8deb-49a5-a6a1-54a772b48ff6
+# ╠═e12751b3-0c8d-4655-b606-ae94d670b0d0
+# ╠═26992493-fe50-4f59-8141-9ea9e8606516
+# ╠═abe64b2a-f192-4e3b-ba3e-f26286b1a38d
+# ╠═0c3fcf92-8924-49ac-b487-a9dc372b2739
+# ╠═25c72bf7-28ce-4f6b-b4c4-24be2f51a5f9
+# ╠═13980acc-8aa1-4d87-ab7e-c1a599e0483d
+# ╠═38fcc0c0-aaaa-4777-b67c-9cc5c9289a91
+# ╠═9a61b3d7-3a77-417d-b60b-7172050167e4
+# ╠═e6f38a8d-3db9-47ed-801e-2f434d2ef70c
+# ╠═a66db96a-a6f1-4628-8a89-d8b2744eb3b5
+# ╠═0a63424d-ab08-4dd4-bff8-5239ec312733
+# ╠═a546c9bc-7d20-4636-850f-f900194e97e8
+# ╠═9aff572e-683c-4085-878f-8c87c046db6f
+# ╠═21cb4890-628a-4331-a163-77fd8b3c9e05
+# ╠═526287c9-8d28-4357-8313-6f7ba2f2f49b
+# ╠═312a0197-d66c-436d-9452-7c70e4cfaded
+# ╠═483422b0-666b-4600-a96b-9dd84ca19298
+# ╠═ee40ceea-7d3f-4578-902d-d1518f4c7c84
+# ╠═e12d35e5-4ea6-42f4-a396-92e4d4ebc5c7
+# ╠═3947a6c1-4bbe-4ee0-a3e6-114e481dc49c
+# ╠═c0246b4f-134b-4413-9cae-f8dd1d4986b7
+# ╠═b0f62fbd-a577-45a0-be31-aab76babb417
+# ╠═cf728878-fefb-4d46-a52e-1d0820248d35
+# ╠═01db2622-4b44-492d-a0f6-838018727e75
+# ╠═8dcce330-fad7-4dde-86c9-f3c732089278
+# ╠═55151c58-ce42-4473-8bee-6ae501b5a891
+# ╠═f2ac7e44-7a07-4956-9f22-526af10d1fe0
+# ╠═1fcb8085-02f2-4907-999a-19db73ce4563
+# ╠═9ceb6a8a-9235-49af-94ae-aa762e96aff0
+# ╠═7bad9eb6-9201-4642-b147-193fbb5702fd
+# ╠═ab183ae7-8e20-4413-b4f4-68000038974c