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-rw-r--r--szilagyi/nomogram.py38
1 files changed, 0 insertions, 38 deletions
diff --git a/szilagyi/nomogram.py b/szilagyi/nomogram.py
index eb2665d..aed8dca 100644
--- a/szilagyi/nomogram.py
+++ b/szilagyi/nomogram.py
@@ -4,8 +4,6 @@ import os
import re
from collections import deque
-import matplotlib.pyplot as plot
-
def load(directory):
def _read(iterable):
@@ -93,39 +91,3 @@ def calculate_swi(segments, x, y):
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]
-
-
-swis = load("dataset")
-
-
-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()