def main():
if len(sys.argv) < 3:
print "Usage: %s [sqlite database] [destination file]" % os.path.basename(
__file__)
print "The destination file can be .xls or .csv."
exit(1)
src = sys.argv[1]
dst = sys.argv[2]
if not os.path.exists(src):
print "File '%s' does not exist. Call export_results.m for your experiment first?" % src
exit(2)
db = sqlShort(host=src, type='sqlite')
dat = read_db(db)
del db
_, ext = os.path.splitext(dst)
if ext == '.xls':
export_to_xls(dat, dst)
elif ext == '.csv':
export_to_csv(dat, dst)
else:
print "Format '%s' is not implemented." % ext
exit(3)
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from numpy import *
from scipy import *
from matplotlib import pylab
from sqlShort import sqlShort
db = sqlShort(host='results/jvo_db.sqlite', type='sqlite')
ref_voices, ref_f0s, ref_sers = db.query("""
SELECT ref_voice, ref_f0, ref_ser
FROM thr GROUP BY ref_voice
ORDER BY ref_voice DESC
""")
subject_clause = ' '
voices = dict()
for ref_voice, ref_f0, ref_ser in zip(ref_voices, ref_f0s, ref_sers):
voices[ref_voice] = (ref_f0, ref_ser)
#subject_clause = " AND subject='S01b' "
cm = array([[207, 82, 10], [237, 186, 70], [78, 164, 38], [25, 112, 176],
[149, 38, 138], [250, 90, 0], [200, 0, 0], [0, 150, 255],
[158, 204, 59], [54, 102, 255]]) / 255.
cols = {'female': cm[0], 'male': cm[3], 'child': cm[2]}
lw = 2
from numpy import *
from scipy import *
from matplotlib import pylab
from sqlShort import sqlShort
cm = array([[207, 82, 10], [237, 186, 70], [78, 164, 38], [25, 112, 176],
[149, 38, 138], [250, 90, 0], [200, 0, 0], [0, 150, 255],
[158, 204, 59], [54, 102, 255]]) / 255.
#cols = {'female': cm[0], 'male': cm[3], 'child': cm[2]}
cols = {'NH': cm[2], 'CI': cm[3], 'AB': cm[3], 'Cochlear': cm[1]}
lw = 2
dbd = dict()
dbd['CI'] = sqlShort(host='results/jvo_db.sqlite', type='sqlite')
dbd['NH'] = sqlShort(
host=
'/Users/egaudrain/Experiments/2013-J-VO GPR-VTL jnd/2013-05-07 - Exp.1 - Resolution/results/jvo_db.sqlite',
type='sqlite')
fig = pylab.figure()
ax = fig.add_axes((.12, .1, .8, .8))
xTickLabel = list()
ciVal = list()
for k in dbd.keys():
print k
# -*- coding: utf-8 -*-
from numpy import *
from scipy import *
from matplotlib import pylab
from sqlShort import sqlShort
cm = array([[207, 82, 10], [237, 186, 70], [78, 164, 38], [25, 112, 176], [149, 38, 138], [250, 90, 0], [200, 0, 0], [0, 150, 255], [158, 204, 59], [54, 102, 255]])/255.
#cols = {'female': cm[0], 'male': cm[3], 'child': cm[2]}
#cols = {'NH': cm[2], 'CI': cm[3], 'AB': cm[3], 'Cochlear': cm[1]}
cols = {'NH': cm[2], 'CI': cm[3], 'AB': cm[3], 'Cochlear': cm[3]}
lw = 2
dbd = dict()
dbd['CI'] = sqlShort(host='results/jvo_db.sqlite', type='sqlite')
dbd['NH'] = sqlShort(host='/Users/egaudrain/Experiments/2013-J-VO GPR-VTL jnd/2013-05-07 - Exp.1 - Resolution/results/jvo_db.sqlite', type='sqlite')
fig = pylab.figure()
ax = fig.add_axes((.12, .1, .8, .8))
xTickLabel = list()
ciVal = list()
for k in dbd.keys():
print k
db = dbd[k]
ref_voices, ref_f0s, ref_sers = db.query("""
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from numpy import *
from scipy import *
from matplotlib import pylab
from sqlShort import sqlShort
db = sqlShort(host='results/jvo_db.sqlite', type='sqlite')
ref_voices, ref_f0s, ref_sers = db.query("""
SELECT ref_voice, ref_f0, ref_ser
FROM thr GROUP BY ref_voice
ORDER BY ref_voice DESC
""")
subject_clause = ' '
voices = dict()
for ref_voice, ref_f0, ref_ser in zip(ref_voices, ref_f0s, ref_sers):
voices[ref_voice] = (ref_f0, ref_ser)
#subject_clause = " AND subject='S01b' "
cm = array([[207, 82, 10], [237, 186, 70], [78, 164, 38], [25, 112, 176], [149, 38, 138], [250, 90, 0], [200, 0, 0], [0, 150, 255], [158, 204, 59], [54, 102, 255]])/255.
cols = {'female': cm[0], 'male': cm[3], 'child': cm[2]}
lw = 2
fig = pylab.figure()
ax = fig.add_axes((.12, .1, .8, .8))