def save2csv(r, csvpath=None, fileNamePrefix=''):
"""
Parse and save to csv
"""
# Create Dataframe
try:
d = {}
for tup in r.json():
d[dt.fromtimestamp(tup[0])] = tup[1]
#pdb.set_trace()
Ts = TimeSeries(data=d)
# this line gives an error. Should be checked, but for now I keep the nan's
# Ts = Ts[Ts != 'nan']
except:
print "-------> Problem with Flukso data parsing <-------"
raise
# save to file
if csvpath is None:
csvpath = os.getcwd()
s = strftime("%Y-%m-%d_%H-%M-%S", Ts.index[0].timetuple())
e = strftime("%Y-%m-%d_%H-%M-%S", Ts.index[-1].timetuple())
Ts.to_csv(
os.path.join(csvpath,
fileNamePrefix + '_FROM_' + s + '_TO_' + e + '.csv'))
