def show_hours(date_s, Ftype):
IDIR = Cfg[Ftype]['I_DIR']
ODIR = Cfg[Ftype]['O_DIR_H']
AERA = Cfg[Ftype]['L2S']
TimeList = []
DictData = {}
for i in range(24):
dateT1 = date_s + relativedelta(hours=i)
TimeList.append(dateT1)
for aera in AERA.keys():
Line = []
shortname = Cfg[Ftype]['L2S'][aera].decode('utf-8')
ymd = date_s.strftime('%Y%m%d')
FileName = urljoin(IDIR, aera, 'hours', ymd + '.txt')
print FileName
if os.path.isfile(FileName) and os.path.getsize(FileName) != 0:
ary = np.loadtxt(FileName, dtype=dtype, skiprows=1).reshape((-1,))
else:
for i in range(24):
t_str = '%s %s %f %f %f %d' % (ymd, '00:00:00', np.nan, np.nan, np.nan, 9999)
Line.append([each.strip() for each in t_str.split()])
ary = np.core.records.fromarrays(np.array(Line).transpose(),
names=','.join(dname_Nan),
formats=','.join(dtype_Nan))
DictData[shortname] = ary
# print DictData
if not os.path.isdir(ODIR):
os.makedirs(ODIR)
# 平均值
DictMean = {}
color_dict = {}
for eachkey in DictData.keys():
DictMean[eachkey] = DictData[eachkey]['mean']
print 'TimeList', len(TimeList), eachkey, len(DictMean[eachkey])
DictVar = {}
for eachkey in DictData.keys():
DictVar[eachkey] = DictData[eachkey]['var']
print 'TimeList', len(TimeList), eachkey, len(DictVar[eachkey])
DictTitle1 = {'xlabel': 'x %s' % ymd, 'ylabel': 'mean', 'title': 'gga'}
DictTitle2 = {'xlabel': 'x %s' % ymd, 'ylabel': 'Var', 'title': 'gga'}
# ymd = time.strftime('%Y%m%d', time.localtime())
Outimg1 = urljoin(ODIR, ymd + '_mean')
Outimg2 = urljoin(ODIR, ymd + '_var')
ds_PUB_LIB.draw_time_fig(TimeList, DictMean, Outimg1, DictTitle1, 'H')
ds_PUB_LIB.draw_time_fig(TimeList, DictVar, Outimg2, DictTitle2, 'H')
def show_day(Ftype, Ftime):
IDIR = Cfg[Ftype]['I_DIR']
ODIR = Cfg[Ftype]['O_DIR_D']
AERA = Cfg[Ftype]['L2S']
TimeList = []
DictData = {}
date_s, date_e = ymd2date(Ftime)
while date_s <= date_e:
TimeList.append(date_s)
date_s = date_s + relativedelta(days=1)
for aera in AERA.keys():
shortname = Cfg[Ftype]['L2S'][aera].decode('utf-8')
print shortname
FileList = []
date_s, date_e = ymd2date(Ftime)
while date_s <= date_e:
ymd = date_s.strftime('%Y%m%d')
FileName = urljoin(IDIR, aera, 'days', ymd + '.txt')
FileList.append(FileName)
date_s = date_s + relativedelta(days=1)
data = combine_day(FileList)
DictData[shortname] = data
if not os.path.isdir(ODIR):
os.makedirs(ODIR)
print DictData
# 平均值
DictMean = {}
for eachkey in DictData.keys():
DictMean[eachkey] = DictData[eachkey]['mean']
print 'TimeList', len(TimeList), eachkey, len(DictMean[eachkey])
print len(TimeList), len(DictData[eachkey])
# 偏差
DictVar = {}
for eachkey in DictData.keys():
DictVar[eachkey] = DictData[eachkey]['var']
print 'TimeList', len(TimeList), eachkey, len(DictVar[eachkey])
DictTitle1 = {'xlabel': 'x %s' % ymd, 'ylabel': 'mean', 'title': 'gga'}
DictTitle2 = {'xlabel': 'x %s' % ymd, 'ylabel': 'Var', 'title': 'gga'}
# ymd = time.strftime('%Y%m%d', time.localtime())
Outimg1 = urljoin(ODIR, ymd + '_mean')
Outimg2 = urljoin(ODIR, ymd + '_var')
ds_PUB_LIB.draw_time_fig(TimeList, DictMean, Outimg1, DictTitle1, 'D')
ds_PUB_LIB.draw_time_fig(TimeList, DictVar, Outimg2, DictTitle2, 'D')
def main():
# 获取参数
xArg = sys.argv[1:]
# 参数个数目前为2个
args_nums = len(xArg)
if args_nums != 3:
print 'input error: args nums is three!'
return
# 获取处理文件时间和文件类型
Ftime = xArg[0]
Ftype = xArg[1]
Frate = xArg[2]
I_DIR = Cfg[Ftype]['I_DIR']
O_DIR = Cfg[Ftype]['O_DIR']
AERA = Cfg[Ftype]['L2S']
DictData = {}
for siteName in AERA.keys():
date_s, date_e = ymd2date(Ftime)
ShortName = Cfg[Ftype]['L2S'][siteName].decode('utf-8')
I_FILE = urljoin(I_DIR, Ftype, siteName, 'time_series_' + Frate + '.txt')
SiteData = ReadFile(I_FILE, date_s, date_e)
print siteName
if len(SiteData) != 0:
DictData[ShortName] = SiteData
# 平均值
DictMean = {}
for eachkey in DictData.keys():
DictMean[eachkey] = DictData[eachkey]['mean']
print DictMean
stime = date_s.strftime('%Y%m%d')
etime = date_e.strftime('%Y%m%d')
DictTitle = {'xlabel': '%s-%s' % (stime, etime), 'ylabel': 'mean', 'title': '%s' % Ftype}
O_FILE = urljoin(O_DIR, Ftype, stime + '_' + etime)
TimeList = []
for x in xrange(len(SiteData)):
dateT = datetime.strptime(SiteData['time'][x], "%Y-%m-%d %H:%M:%S")
print dateT
TimeList.append(dateT)
ds_PUB_LIB.draw_time_fig(TimeList, DictMean, O_FILE, DictTitle, Frate)
