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authorAki <please@ignore.pl>2022-08-28 01:09:08 +0200
committerAki <please@ignore.pl>2022-08-28 01:09:08 +0200
commitb35834ccbe29dbe750171b1c45a3c726d80c6dad (patch)
tree6aa67c619d81ea70a4b05eeeb612a8fb94835c59
parent771be6ad54e4635d3084f41ddc738c651142effd (diff)
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Implemented naive interpolation for continuous SWI values
-rw-r--r--plot.py71
1 files changed, 58 insertions, 13 deletions
diff --git a/plot.py b/plot.py
index 2ae94b9..eb2665d 100644
--- a/plot.py
+++ b/plot.py
@@ -1,6 +1,5 @@
import csv
import math
-import operator
import os
import re
from collections import deque
@@ -65,22 +64,68 @@ def find_boundary_curves(swis, x, y):
if segments:
segments.popleft()
segments.append((index, data, i, j))
+ if len(segments) == 3:
+ middle = segments[1][1]
+ run = middle[j][0] - middle[i][0]
+ if run == 0:
+ raise RuntimeError # tidy up dataset
+ slope = (middle[j][1] - middle[i][1]) / run
+ intercept = middle[j][1] - slope * middle[j][0]
+ value = slope * x + intercept
+ if value == y:
+ raise RuntimeError # Exactly on point; SWI == index
+ if value < y:
+ segments.popleft()
+ else:
+ segments.pop()
+ if len(segments) == 1:
+ raise RuntimeError # SWI == -10
return segments
-swis = load("dataset")
+def dist(x1, y1, x2, y2):
+ return math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2)
+
+
+def calculate_swi(segments, x, y):
+ low = segments[0]
+ high = segments[1]
+ dist_to_low = min(dist(p[0], p[1], x, y) for p in (low[1][low[2]], low[1][low[2]]))
+ dist_to_high = min(dist(p[0], p[1], x, y) for p in (high[1][high[2]], high[1][high[2]]))
+ return dist_to_low / (dist_to_low + dist_to_high) * (high[0] - low[0]) + low[0]
-def onclick(event):
- if event.button != 1:
- return
- plot.clf()
- segments = find_boundary_curves(swis, event.xdata, event.ydata)
- plot.plot([event.xdata], [event.ydata], "rx")
- for index, data, i, j in segments:
- plot.plot([x[0] for x in data], [x[1] for x in data], ".", label=index)
- plot.show()
+swis = load("dataset")
+
-fig, _ = plot.subplots()
-fig.canvas.mpl_connect('button_press_event', onclick)
+def _swi(x, y): # dt, depth
+ segments = find_boundary_curves(swis, x, y)
+ return calculate_swi(segments, x, y)
+
+
+def grid(start, end, steps):
+ step = (end - start) / steps
+ i = start
+ while i <= end:
+ yield i
+ i += step
+
+
+C = []
+X = list(grid(0, 40, 1000))
+Y = list(grid(0, 50000, 1000))
+for y_scaled in range(0, 1000):
+ y = y_scaled * 50
+ row = []
+ for x_scaled in range(0, 1000):
+ x = x_scaled / 25
+ try:
+ swi = _swi(x, y)
+ except (IndexError, RuntimeError):
+ swi = -10
+ row.append(swi)
+ C.append(row)
+plot.pcolormesh(X, Y, C, cmap='viridis', vmin=-10, vmax=10, rasterized=True)
+for _, data in swis:
+ plot.plot([x[0] for x in data], [x[1] for x in data])
plot.show()