def save_data(self, csv):
"""Save Google Finance csv to Numpy array."""
self.preallocate(len(csv) - 7)
for row in xrange(7, len(csv)):
if csv[row].count(',') != 5:
continue
timestamp, c, h, l, o, volume = csv[row].split(',')
if timestamp[0] == 'a':
day = float(timestamp[1:])
timestamp = 0
else:
timestamp = float(timestamp)
o, h, l, c = [float(x) for x in [o, h, l, c]]
time_num = day + self.interval_s * timestamp
self.timestamps[row - 7] = time_num
self.oprices[row - 7] = o
self.hprices[row - 7] = h
self.lprices[row - 7] = l
self.cprices[row - 7] = c
self.volumes[row - 7] = volume
self.first_time = posix_as_str(min(self.timestamps))
self.end_time = posix_as_str(max(self.timestamps))
def first_day(self):
"""The earliest date as string."""
if len(self.timestamps) is 0:
return nan
return cv.posix_as_str(min(self.timestamps))[:10]
def timestrings(self):
"""Get timestamps in YYYY-MM-DD HH:MM:SS.f string format."""
return cv.posix_as_str(self.timestamps)
def last_day(self):
"""The latest date as string."""
if len(self.timestamps) is 0:
return nan
return cv.posix_as_str(max(self.timestamps))[:10]
