#excludelist, deletechars, replace_space, autostrip,
#case_sensitive, defaultfmt, unpack, usemask, loose, invalid_raise,
)
x = d[:,0]
y = d[:,1]
h = d[:,2]
# gal (cm/s^2) -> g (10 m/s^2) <==> h *= 1e-3
h = h*1.e-3
#print len(x), np.sqrt(len(x))
from map import hazard_map
m = hazard_map(x, y, h, "PGA (poe 10%, 50 years) [ dourado2014, crisis2007 ]",
(50, 50), catalogue=catalogue, origin='lower')
from hmtk.parsers.source_model.nrml04_parser import nrmlSourceModelParser
source_model_file = "/Users/pirchiner/dev/pshab/dourado_reproduction/source_model.xml"
# read source model file
parser = nrmlSourceModelParser(source_model_file)
source_model = parser.read_file(2.0)
# add source model
#basemap1.add_source_model(source_model, area_border, border_width, point_marker, point_size, overlay)
m.basemap.add_source_model(source_model, border_width=0.5, overlay=True)
y = d[:,1]
h = d[:,2]
# d2 = np.genfromtxt(fname=filename2,
# #comments='#',
# delimiter=',',
# skiprows = 2,
# #skip_header = 1,
# #skip_footer,
# #converters, missing, missing_values, filling_values, usecols, names,
# #excludelist, deletechars, replace_space, autostrip,
# #case_sensitive, defaultfmt, unpack, usemask, loose, invalid_raise,
# )
#
# x2 = d2[:,0]
# y2 = d2[:,1]
# h2 = d2[:,2]
#print len(x), np.sqrt(len(x))
from map import hazard_map
title = "PGA (poe 10%, 50 years) [ helmstetter2012 ]"
# m = hazard_map(x, y, h2-h, title,
# (50, 50), origin='lower')
m = hazard_map(x, y, h, title,
(50, 50), origin='lower',
# (100, 100), origin='lower',
catalogue=catalogue)
m.show()
# delimiter=',',
# skiprows = 2,
# #skip_header = 1,
# #skip_footer,
# #converters, missing, missing_values, filling_values, usecols, names,
# #excludelist, deletechars, replace_space, autostrip,
# #case_sensitive, defaultfmt, unpack, usemask, loose, invalid_raise,
# )
#
# x2 = d2[:,0]
# y2 = d2[:,1]
# h2 = d2[:,2]
#print len(x), np.sqrt(len(x))
from map import hazard_map
title = "PGA (poe 10%, 50 years) [ helmstetter2012 ]"
# m = hazard_map(x, y, h2-h, title,
# (50, 50), origin='lower')
m = hazard_map(
x,
y,
h,
title,
(50, 50),
origin='lower',
# (100, 100), origin='lower',
catalogue=catalogue)
m.show()
