def readArray(self, filename):
if not re.match("(http:|\/|file:)", filename):
filename = urlparse.urljoin(self.uri_base, filename)
try:
from Scientific.IO.ArrayIO import readArray
return readArray(filename)
except ImportError:
self.error("Scientific module not installed")
def readArray(self,filename):
if not re.match("(http:|\/|file:)",filename):
filename = urlparse.urljoin(self.uri_base,filename)
try:
from Scientific.IO.ArrayIO import readArray
return readArray(filename)
except ImportError:
self.error("Scientific module not installed")
import sys, math, string
from Numeric import *
"""
As datatrans3a.py, but using Hinsen's Scientific.IO.ArrayIO module.
"""
try:
infilename = sys.argv[1]
outfilename = sys.argv[2]
except:
print "Usage:", sys.argv[0], "infile outfile"
sys.exit(1)
# read (x,y) data from file into a NumPy array data:
from Scientific.IO.ArrayIO import readArray, writeArray
data = readArray(infilename)
# transform y values:
def myfunc(y):
# y is a NumPy array
lt0_indices = less(y, 0) # find all indices where y<0
r = y**5 * exp(-y)
# truncate, i.e., insert 0 for all indices where y<0:
y = where(lt0_indices, 0.0, r)
return y
y = data[:, 1]
y = myfunc(y)
#!/usr/bin/env python
import sys, math
from numpy import *
"""
As datatrans3a.py, but using Hinsen's Scientific.IO.ArrayIO module.
"""
try:
infilename = sys.argv[1]; outfilename = sys.argv[2]
except:
print "Usage:",sys.argv[0], "infile outfile"; sys.exit(1)
# read (x,y) data from file into a NumPy array data:
from Scientific.IO.ArrayIO import readArray, writeArray
data = readArray(infilename)
# transform y values:
def myfunc(y):
# y is a NumPy array
return where(y < 0, 0.0, y**5*exp(-y))
y = data[:,1]
y = myfunc(y)
# create a two-dimensional NumPy array with (x,myfunc(y)):
newdata = array([data[:,0], y]).transpose()
# dump the new data to file:
writeArray(newdata, outfilename)
# end