concentracao.py 1.4 KB
Newer Older
Matheus Müller's avatar
Matheus Müller committed
1
2
from pylab import *

3
4
#####################################################################################################
# Funcoes que corrigem erros de arredondamento
5

6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
def fix1(y, x):
    for k in arange(1, (len(y)-1)):
         if y[k] == 0:
            if y[k-1] and y[k+1] != 0:
                    y[k] = y[k-1]

def fix2(y, x):
    for k in arange(1, (len(y)-1)):
         if y[k] == 0:
            if y[k-1] and y[k+1] != 0:
                if y[k-1] == y[k+1]:
                    y[k] = y[k-1]
                else:
                    y[k] = (y[k+1]+y[k-1])/2

#####################################################################################################

def montaperfil( xy , step, modo):
    u = 0.
    yu = 0.

    profundidade = arange(0, max(xy[:,0]), step)
Matheus Müller's avatar
Matheus Müller committed
28
29
30
    concent = profundidade*0

    if modo == 'step':
31
32
        for i in xy:
            for j in arange (u, i[0], step):
33
                if j>max(xy[:,0])/2 and j<=len(xy) :
34
                    concent[int(j/step)] = i[1]
35
36
37
38
                else :
                    concent[math.floor(j/step)] = i[1]
            u = i[0]
        fix1(concent, profundidade)
Matheus Müller's avatar
Matheus Müller committed
39
40

    if modo == 'reta':
41
        for i in xy:
42
            for j in arange (u, round(i[0],3), step):
43
44
                concent[round(j/step)] = yu + (j-u)*(i[1] - yu)/(i[0] - u)
            u = round(i[0],2) 
45
46
            yu = i[1]   
        fix2(concent, profundidade)    
Matheus Müller's avatar
Matheus Müller committed
47

48
    return concent
49