def _parse_data(cols, text):
'''
Convert to all data to dictionary. Keys are column headers and values are
1D NumPy arrays
'''
import re
cs_regex = re.compile('\s+')
cols = cs_regex.split(cols)
lc = len(cols)
data = [[] for dummy in cols]
for t in text:
r = cs_regex.split(t.strip())
lr = len(r)
if lr > lc:
print 'Long row!'
lr = lc
for i in range(lr):
data[i].append(SRSLoader._parse_value(r[i]))
if lr < lc:
print 'Short row!'
for i in range(lr, lc):
data[i].append(0)
from pycore import array as parray
return [(c, parray(d)) for c, d in zip(cols, data)]
def _parse_data(cols, text, warn):
'''
Convert to all data to dictionary. Keys are column headers and values are
1D NumPy arrays
'''
import re
cs_regex = re.compile('\s+')
if cols is None:
# use first line
r = cs_regex.split(text[0].strip())
lc = len(r)
from math import log10, ceil
p = ceil(log10(lc))
fmt = 'col%%0%dd' % p
cols = [ fmt % (i+1,) for i in range(lc) ]
else:
if cols.count('\t') > 0: # columns separated by tabs
cols = cols.split('\t')
else:
cols = cs_regex.split(cols)
lc = len(cols)
data = [[] for dummy in cols]
for t in text:
r = cs_regex.split(t.strip())
lr = len(r)
if lr > lc:
if warn:
print 'Long row!'
lr = lc
for i in range(lr):
data[i].append(SRSLoader._parse_value(r[i]))
if lr < lc:
if warn:
print 'Short row!'
for i in range(lr, lc):
data[i].append(0)
from pycore import array as parray
return [(c, parray(d)) for c, d in zip(cols, data)]
def _parse_data(cols, text, warn):
'''
Convert to all data to dictionary. Keys are column headers and values are
1D NumPy arrays
'''
import re
cs_regex = re.compile('\s+')
if cols is None:
# use first line
r = cs_regex.split(text[0].strip())
lc = len(r)
cols = ["Column_%d" % (i + 1, ) for i in range(lc)]
else:
if cols.count('\t') > 0: # columns separated by tabs
cols = cols.split('\t')
else:
cols = cs_regex.split(cols)
lc = len(cols)
data = [[] for dummy in cols]
for t in text:
r = cs_regex.split(t.strip())
lr = len(r)
if lr > lc:
if warn:
print "Long row!"
lr = lc
for i in range(lr):
data[i].append(SRSLoader._parse_value(r[i]))
if lr < lc:
if warn:
print "Short row!"
for i in range(lr, lc):
data[i].append(0)
from pycore import array as parray
return [(c, parray(d)) for c, d in zip(cols, data)]
