-
Notifications
You must be signed in to change notification settings - Fork 0
/
ksn_full_fig_boxer.py
134 lines (92 loc) · 5.4 KB
/
ksn_full_fig_boxer.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
#hist2d of concavity/distance from mountian front.
import matplotlib
matplotlib.use("Agg")
from matplotlib import pyplot as plt
import pandas as pd
import sys
target = '/exports/csce/datastore/geos/users/s1134744/LSDTopoTools/Topographic_projects/full_himalaya_5000/'
source_list = ['0_1_ex_MChiSegmented_burned.csv','0_15_ex_MChiSegmented_burned.csv','0_2_ex_MChiSegmented_burned.csv',
'0_25_ex_MChiSegmented_burned.csv','0_3_ex_MChiSegmented_burned.csv','0_35_ex_MChiSegmented_burned.csv',
'0_4_ex_MChiSegmented_burned.csv','0_45_ex_MChiSegmented_burned.csv','0_5_ex_MChiSegmented_burned.csv',
'0_55_ex_MChiSegmented_burned.csv','0_6_ex_MChiSegmented_burned.csv','0_65_ex_MChiSegmented_burned.csv',
'0_7_ex_MChiSegmented_burned.csv','0_75_ex_MChiSegmented_burned.csv','0_8_ex_MChiSegmented_burned.csv',
'0_85_ex_MChiSegmented_burned.csv','0_9_ex_MChiSegmented_burned.csv','0_95_ex_MChiSegmented_burned.csv']
concavity = '45'
limit = 800
source = '0_%s_ex_MChiSegmented_burned.csv'%(concavity)
fig = plt.figure(1, figsize=(20,30))
def getAxis(column,mins,maxs):
x_list = []
x_ticks = []
with open(target+source,'r') as csvfile:
df = pd.read_csv(csvfile,delimiter=',')
selectedDF = df[df['m_chi'] > 0]
for lower,upper in zip(mins,maxs):
selectedDF = df[df[column] >= lower]
selectedDF = selectedDF[selectedDF[column] < upper]
series = selectedDF['m_chi']
lister = series.tolist()
data_count = len(lister)
#for labeling x axis
#label = str(lower)+'\n n:'+str(data_count)
x_ticks.append(str(data_count))
x_list.append(lister)
return x_list,x_ticks
ax = fig.add_subplot(321)
x_list,x_ticks = getAxis('distance',[0.0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9],[0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9,2.0])
new_names = [str(y)+'-'+str(z)+'\n n:'+x for x,y,z in zip(x_ticks,[0.0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9],[0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9,2.0])]
ax.boxplot(x_list,labels=new_names)
plt.ylim(ymin=0,ymax=limit)
plt.ylabel("Ksn")
plt.xlabel("Distance from Mountain Front (decimal degrees)")
plt.xticks(rotation=45)
ax = fig.add_subplot(322)
x_list,x_ticks = getAxis('segmented_elevation',range(350,4950,50),range(400,5000,50))
ax.boxplot(x_list)
plt.ylim(ymin=0,ymax=limit)
plt.ylabel("Ksn")
plt.xlabel("Elevation (m)")
names = ['0-500','500-1000','1000-1500','1500-2000','2000-2500','2500-3000','3000-3500','3500-4000','4000-4500','4500-5000','5000-5500','5500-6000']
ax = fig.add_subplot(323)
x_list,x_ticks = getAxis('secondary_burned_data',range(0,6000,500),range(500,6500,500))
new_names = [x+'\n n:'+y for x,y in zip(names,x_ticks)]
ax.boxplot(x_list,labels=new_names)
plt.ylim(ymin=0,ymax=limit)
plt.ylabel("Ksn")
plt.xlabel("Precipitation (mm/year)")
names = ['0-25','25-50','50-75','75-100','100-125','125-150','150-175']
ax = fig.add_subplot(324)
x_list,x_ticks = getAxis('second_inv',range(0,175,25),range(25,200,25))
new_names = [x+'\n n:'+y for x,y in zip(names,x_ticks)]
ax.boxplot(x_list,labels=new_names)
plt.ylim(ymin=0,ymax=limit)
plt.ylabel("Ksn")
plt.xlabel("Strain")
names = ["Evaporites","Ice and Glaciers","Metamorphics","NoData",
"Acid Plutonic Rocks","Basic Plutonic Rocks",
"Intermediate Plutonic Rocks","Pyroclastics","Carbonate Sedimentary Rocks",
"Mixed Sedimentary Rocks","Siliciclastic Sedimentary Rocks",
"Unconsolidated Sediments","Acid Volcanic Rocks","Basic Volcanic Rocks",
"Intermediate Volcanic Rocks","Water Bodies"]
ax = fig.add_subplot(325)
x_list,x_ticks = getAxis('burned_data',range(10000,170000,10000),range(20000,180000,10000))#[10000,20000,30000,40000,50000,60000,70000,80000,90000,100000,110000,120000,130000,140000,150000,160000],[20000,20000,30000,40000,50000,60000,70000,80000,90000,100000,110000,120000,130000,140000,150000,160000,170000])
new_names = [x+'\n n:'+y for x,y in zip(names,x_ticks)]
ax.boxplot(x_list,labels=new_names)
plt.ylim(ymin=0,ymax=limit)
plt.ylabel("Ksn")
plt.xlabel("Lithology")
plt.xticks(rotation=90)
names = ['Sub Himalaya','Lesser Himalaya','Greater Himalaya','Tethyan Himalaya']
ax = fig.add_subplot(326)
x_list,x_ticks = getAxis('tectonics',[0.5,1.5,2.5,3.5],[1.5,2.5,3.5,4.5])
new_names = [x+'\n n:'+y for x,y in zip(names,x_ticks)]
ax.boxplot(x_list,labels=new_names)
plt.ylim(ymin=0,ymax=limit)
plt.ylabel("Ksn")
plt.xlabel("Tectonic Zone")
#plt.ylabel("Concavity")
#plt.xlabel("Elevation (m)")
#plt.colorbar(h[3], ax=ax)
#ax.scatter(x_list,y_list,marker='.')
fig.tight_layout()
fig.savefig('../ksn_box_0.%s.png'%(concavity), bbox_inches='tight')