def parse_csv(filename):
separator = ','
if filename.endswith('.tsv'):
separator = '\t'
try:
table = []
id = 1
contents = read_file(filename)
lines = [
l.strip().split(separator) for l in contents.split('\n')
if l.strip() and not (l.strip().startswith('#'))
]
for linetokens in lines:
if len(linetokens) >= 3:
table.append(
dict(Experimental=float(linetokens[0]),
Predicted=float(linetokens[1]),
ID=str(linetokens[2])))
elif len(linetokens) == 2:
table.append(
dict(Experimental=float(linetokens[0]),
Predicted=float(linetokens[1]),
ID=id))
id += 1
else:
raise Exception(
'At least two columns (experimental DDG, predicted DDG) are expected.'
)
return table
except Exception, e:
raise Exception('An exception occurred parsing the CSV/TSV file: %s' %
str(e))
def read_json(filename):
try:
try:
import json
except:
import simplejson as json
return json.loads(read_file(filename))
except:
return None
def read_json(filename):
try:
try:
import json
except:
import simplejson as json
return json.loads(read_file(filename))
except:
return None
def parse_csv(filename):
separator = ','
if filename.endswith('.tsv'):
separator = '\t'
try:
table = []
id = 1
contents = read_file(filename)
lines = [l.strip().split(separator) for l in contents.split('\n') if l.strip() and not(l.strip().startswith('#'))]
for linetokens in lines:
if len(linetokens) >= 3:
table.append(dict(Experimental = float(linetokens[0]), Predicted = float(linetokens[1]), ID = str(linetokens[2])))
elif len(linetokens) == 2:
table.append(dict(Experimental = float(linetokens[0]), Predicted = float(linetokens[1]), ID = id))
id += 1
else:
raise Exception('At least two columns (experimental DDG, predicted DDG) are expected.')
return table
except Exception, e:
raise Exception('An exception occurred parsing the CSV/TSV file: %s' % str(e))