max_y = y if y > max_y else max_y
min_y = y if y < min_y else min_y
ci += 1
print("ymin", min_y, "ymax", max_y)
used_value = set()
for i in range(N):
x = range(len(spec_fi))
value = data[fi][i] # categorical value
spectrum = [float(data[j][i]) for j in spec_fi]
print(value, spectrum)
if case == 'derivative':
x, spectrum = deriv(x, spectrum)
if case == 'integral':
x, spectrum = integ(x, spectrum)
plt.plot(
x,
spectrum, # marker=markers[lookup[value]],
color=colors()[lookup[value]],
label=(value if value not in used_value else None))
used_value.add(value)
# don't forget to put the spectra field labels on the bottom as ticks!
#plt.legend() # loc='lower left') # upper right')
plt.xticks(x, [fields[i] for i in spec_fi[0:len(x)]], rotation='vertical')
plt.legend()
plt.tight_layout()
fn = args[1] + "_spectra_plot_" + (case if case != 'regular' else
'') + '_' + field_label + ".png"
print("+w", fn)
plt.savefig(fn)
import requests import subprocess import argparse import sys from misc import redundant from misc import colors """Author: Joshua Whitaker""" """Twitter: @_Stahlz""" """Email: [email protected]""" """Initalizing Classes""" global initall initall = redundant() global colors initcolor = colors() """Misc Vars""" global write_output write_output = False global set_tor_reset_interval set_tor_reset_interval = 5 global tor_count tor_count = 0 art = (initcolor.OKGREEN + ' ▄▄▄██▀▀▀█████ ██████ ██░ ██ ▓█████ ██▓ ██▓ ' + initcolor.ENDC + '\n' + initcolor.OKGREEN + ' ▒██ ▒██▓ ██▒▒██ ▒ ▓██░ ██▒▓█ ▀ ▓██▒ ▓██▒ ' + initcolor.ENDC + '\n' + initcolor.OKGREEN + ' ░██ ▒██▒ ██░░ ▓██▄ ▒██▀▀██░▒███ ▒██░ ▒██░ ' + initcolor.ENDC + '\n' + initcolor.OKGREEN + '▓██▄██▓░██ █▀ ░ ▒ ██▒░▓█ ░██ ▒▓█ ▄ ▒██░ ▒██░ ' + initcolor.ENDC + '\n' + initcolor.OKGREEN +
'''20220227 this program calculates a concave-hull for a set
of points in 2d'''
import os
import sys
import copy
import sha3
import pickle
import fileinput
import alphashape
import numpy as np
from misc import colors
import matplotlib.pyplot as plt
from descartes import PolygonPatch
from misc import args, err
c = colors()
files = [x.strip() for x in os.popen('ls -1 *.pkl').readlines()]
print(files)
print('+w alpha_shape.png')
fig, ax = plt.subplots() # plot init
ci = 0
for fn in files:
n = fn.split('.')[0]
print(n, c[ci])
[X_bak, points, alpha, alpha_shape,
patch_alpha] = pickle.load(open(fn, 'rb'))
ax.scatter(*zip(*points), color=c[ci]) # plot inputs
ax.add_patch(
PolygonPatch(alpha_shape,