/
MapaSismicidadEstaciones.py
186 lines (170 loc) · 7.61 KB
/
MapaSismicidadEstaciones.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
## Mapas de sismicidad para intervalos de 2 meses en Pto Gaitan
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import numpy as np
import glob
## Defining the map
map = Basemap(llcrnrlon=-71.7,llcrnrlat=3.64,urcrnrlon=-71.1,urcrnrlat=4.1, projection='cyl', resolution=None)
#map.arcgisimage(service='ESRI_StreetMap_World_2D', xpixels = 3000, verbose= True) # Could Be
#map.arcgisimage(service='World_Topo_Map', xpixels = 3000, verbose= True) # Could be
map.arcgisimage(service='NatGeo_World_Map', xpixels = 1500, verbose= True) # THIS IS THE ONE!!!!!
#map.arcgisimage(service='ESRI_Imagery_World_2D', xpixels = 3000, verbose= True) # Too cloudy
## Ploting Wells
fil = open('CoordenadasPozos.csv', 'r')
cont1, cont2, cont3, cont4, cont5, cont6, cont7, cont9, contq1, contq3, contq4 = 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
for line in fil:
lat_pozos = float(line.split(';')[1])
lon_pozos = float(line.split(';')[0])
#print lon_pozos, lat_pozos
pad = line.split(';')[-1]
#print pad, type(pad)
x, y = map(lon_pozos, lat_pozos)
if pad == '1\n':
cont1 = cont1 + 1
col = 'b'
pad1 = map.scatter(x, y, color=col, marker='^', s=150, edgecolor='black', zorder=50)
elif pad == '2\n':
cont2 = cont2 + 1
col = 'g'
pad2 = map.scatter(x, y, color=col, marker='^', s=150, edgecolor='black', zorder=50)
elif pad == '3\n':
cont3 = cont3 + 1
col = '#ffff00'
pad3 = map.scatter(x, y, color=col, marker='^', s=150, edgecolor='black', zorder=50)
elif pad == '4\n':
cont4 = cont4 + 1
col = '#8b4513'
pad4 = map.scatter(x, y, color=col, marker='^', s=150, edgecolor='black', zorder=50)
elif pad == '5\n':
cont5 = cont5 + 1
col = '#ff69b4'
pad5 = map.scatter(x, y, color=col, marker='^', s=150, edgecolor='black', zorder=50)
elif pad == '6\n':
cont6 = cont6 + 1
col = '#f0f8ff'
pad6 = map.scatter(x, y, color=col, marker='^', s=150, edgecolor='black', zorder=50)
elif pad == '7\n':
cont7 = cont7 + 1
col = 'r'
pad7 = map.scatter(x, y, color=col, marker='^', s=150, edgecolor='black', zorder=50)
elif pad == '9\n':
cont9 = cont9 + 1
col = 'c'
pad9 = map.scatter(x, y, color=col, marker='^', s=150, edgecolor='black', zorder=50)
elif pad == 'QDW-1\n':
contq1 = contq1 + 1
col = '#080808'
padq1 = map.scatter(x, y, color=col, marker='D', s=140, edgecolor='black', zorder=50)
elif pad == 'QDW-3\n':
contq3 = contq3 + 1
col = '#4d4d4d'
padq3 = map.scatter(x, y, color=col, marker='D', s=140, edgecolor='black', zorder=50)
else:
contq4 = contq4 + 1
col = '#cccccc'
padq4 = map.scatter(x, y, color=col, marker='D', s=140, edgecolor='black', zorder=50)
## Plotting new found wells
## Ploting events
ev_lats1 = []
ev_lons1 = []
ev_lats2 = []
ev_lons2 = []
ev_lats3 = []
ev_lons3 = []
ev_lats4 = []
ev_lons4 = []
ev_lats5 = []
ev_lons5 = []
ev_lats6 = []
ev_lons6 = []
l_imp_ev = []
fil2 = open('catalogo_spectraseis.txt', 'r')
for line in fil2:
mon = float(line.split()[3])
mag = float(line.split()[5])
if mag > 2.8:
l_imp_ev.append(line)
if mon == 1 or mon == 2:
ev_lons1.append(float(line.split()[0]))
ev_lats1.append(float(line.split()[1]))
elif mon == 3 or mon == 4:
ev_lons2.append(float(line.split()[0]))
ev_lats2.append(float(line.split()[1]))
elif mon == 5 or mon == 6:
ev_lons3.append(float(line.split()[0]))
ev_lats3.append(float(line.split()[1]))
elif mon == 7 or mon == 8:
ev_lons4.append(float(line.split()[0]))
ev_lats4.append(float(line.split()[1]))
elif mon == 9 or mon == 10:
ev_lons5.append(float(line.split()[0]))
ev_lats5.append(float(line.split()[1]))
elif mon == 11 or mon == 12:
ev_lons6.append(float(line.split()[0]))
ev_lats6.append(float(line.split()[1]))
x1, y1 = map(ev_lons1, ev_lats1)
x2, y2 = map(ev_lons2, ev_lats2)
x3, y3 = map(ev_lons3, ev_lats3)
x4, y4 = map(ev_lons4, ev_lats4)
x5, y5 = map(ev_lons5, ev_lats5)
x6, y6 = map(ev_lons6, ev_lats6)
mes = input('Feb:1 \nAbr:2 \nJun:3 \nAgo:4 \nOct:5 \nDic:6 \n')
if mes == 1:
enefeb = map.scatter(x1, y1, color='#977316', edgecolor='#7f7400', s=25, zorder=10)
leyend_month = plt.legend([enefeb], ['Ene-Feb'], loc=3)
plt.gca().add_artist(leyend_month)
elif mes == 2:
enefeb = map.scatter(x1, y1, color='#977316', edgecolor='#7f7400', s=25, zorder=10)
marabr = map.scatter(x2, y2, color='#ae8319', edgecolor='#7f7400', s=25, zorder=10)
leyend_month = plt.legend([enefeb, marabr], ['Ene-Feb', 'Mar-Abr'], loc=3)
plt.gca().add_artist(leyend_month)
elif mes == 3:
enefeb = map.scatter(x1, y1, color='#977316', edgecolor='#7f7400', s=25, zorder=10)
marabr = map.scatter(x2, y2, color='#ae8319', edgecolor='#7f7400', s=25, zorder=10)
mayjun = map.scatter(x3, y3, color='#c4941d', edgecolor='#7f7400', s=25, zorder=10)
leyend_month = plt.legend([enefeb, marabr, mayjun], ['Ene-Feb', 'Mar-Abr', 'May-Jun'], loc=3)
plt.gca().add_artist(leyend_month)
elif mes == 4:
enefeb = map.scatter(x1, y1, color='#977316', edgecolor='#7f7400', s=25, zorder=10)
marabr = map.scatter(x2, y2, color='#ae8319', edgecolor='#7f7400', s=25, zorder=10)
mayjun = map.scatter(x3, y3, color='#c4941d', edgecolor='#7f7400', s=25, zorder=10)
julago = map.scatter(x4, y4, color='#daa520', edgecolor='#7f7400', s=25, zorder=10)
leyend_month = plt.legend([enefeb, marabr, mayjun, julago], ['Ene-Feb', 'Mar-Abr', 'May-Jun', 'Jul-Ago'], loc=3)
plt.gca().add_artist(leyend_month)
elif mes == 5:
enefeb = map.scatter(x1, y1, color='#977316', edgecolor='#7f7400', s=25, zorder=10)
marabr = map.scatter(x2, y2, color='#ae8319', edgecolor='#7f7400', s=25, zorder=10)
mayjun = map.scatter(x3, y3, color='#c4941d', edgecolor='#7f7400', s=25, zorder=10)
julago = map.scatter(x4, y4, color='#daa520', edgecolor='#7f7400', s=25, zorder=10)
sepoct = map.scatter(x5, y5, color='#e1af33', edgecolor='#7f7400', s=25, zorder=10)
leyend_month = plt.legend([enefeb, marabr, mayjun, julago, sepoct], ['Ene-Feb', 'Mar-Abr', 'May-Jun', 'Jul-Ago', 'Sep-Oct'], loc=3)
plt.gca().add_artist(leyend_month)
elif mes == 6:
enefeb = map.scatter(x1, y1, color='#977316', edgecolor='#7f7400', s=25, zorder=10)
marabr = map.scatter(x2, y2, color='#ae8319', edgecolor='#7f7400', s=25, zorder=10)
mayjun = map.scatter(x3, y3, color='#c4941d', edgecolor='#7f7400', s=25, zorder=10)
julago = map.scatter(x4, y4, color='#daa520', edgecolor='#7f7400', s=25, zorder=10)
sepoct = map.scatter(x5, y5, color='#e1af33', edgecolor='#7f7400', s=25, zorder=10)
novdic = map.scatter(x6, y6, color='#e4b849', edgecolor='#7f7400', s=25, zorder=10)
leyend_month = plt.legend([enefeb, marabr, mayjun, julago, sepoct, novdic], ['Ene-Feb', 'Mar-Abr', 'May-Jun', 'Jul-Ago', 'Sep-Oct', 'Nov-Dic'], loc=3)
plt.gca().add_artist(leyend_month)
elec = raw_input('Graficar importantes? (s/n)\n ')
if str(elec) == 's':
l_lons_imp = []
l_lats_imp = []
for imp in l_imp_ev:
print imp.split()
imp_lon, imp_lat = imp.split()[0], imp.split()[1]
l_lons_imp.append(imp_lon)
l_lats_imp.append(imp_lat)
ximp, yimp = map(l_lons_imp, l_lats_imp)
imps = map.scatter(ximp, yimp, color='#FF00FF', edgecolor='#660066', marker='*', s=120, zorder=45)
else:
print 'TENEEEE'
parallels = np.arange(0.0,7.7,0.2)
# labels = [left,right,top,bottom]
map.drawparallels(parallels,labels=[True,True,False,False])
meridians = np.arange(-75.,-70.,0.2)
map.drawmeridians(meridians,labels=[False,False,True,True])
plt.legend([imps, pad1, pad2, pad3, pad4, pad5, pad6, pad7, pad9, padq1, padq3, padq4], ['Evento Destacado', 'Pad 1, Pozos: %s' % cont1, 'Pad 2, Pozos: %s' % cont2, 'Pad 3, Pozos: %s' % cont3, 'Pad 4, Pozos: %s' % cont4, 'Pad 5, Pozos: %s' % cont5, 'Pad 6, Pozos: %s' % cont6, 'Pad 7, Pozos: %s' % cont7, 'Pad 9, Pozos: %s' % cont9, 'QDW1, Pozos: %s' % contq1, 'QDW3, Pozos: %s' % contq3, 'QDW4, Pozos: %s' % contq4], scatterpoints=1, loc=4)
plt.show()