def row_to_datapoint(row: str) -> dict:
"""
Format data based on mCerebrum's current GZ-CSV format into what Cerebral
Cortex expects
:param row:
:return:
"""
ts, offset, values = row.split(',', 2)
ts = int(ts) / 1000.0
offset = int(offset)
if isinstance(values, tuple):
values = list(values)
else:
try:
values = json.loads(values)
except:
try:
values = [float(values)]
except:
try:
values = list(map(float, values.split(',')))
except:
values = values
timezone = datetime.timezone(datetime.timedelta(milliseconds=offset))
ts = datetime.datetime.fromtimestamp(ts, timezone)
return DataPoint(start_time=ts, sample=values)
def convertutctimetolocaltime(twittercreatedate):
localtimezone = datetime.datetime.now(datetime.timezone(datetime.timedelta(0))).astimezone().tzinfo
twittercreatedatestrptime = datetime.datetime.strptime(twittercreatedate, "%a %b %d %H:%M:%S %z %Y")
convertutctolocal = twittercreatedatestrptime.replace(tzinfo=pytz.utc).astimezone(localtimezone)
datelocal = datetime.datetime.strftime(convertutctolocal, "%m/%d/%Y")
timelocal = datetime.datetime.strftime(convertutctolocal, "%I:%M:%S %p")
return datelocal, timelocal
def regresion(self, sensor):
df_filtrado = self.df[self.df["sensor"] == sensor]
df_filtrado = df_filtrado.tail(self.ventana)
df_filtrado['fecha'] = pd.to_datetime(df_filtrado.pop('fecha'),
format='%d.%m.%Y %H:%M:%S')
df_filtrado['segundos'] = [
time.mktime(t.timetuple()) - 18000 for t in df_filtrado['fecha']
]
tiempo = df_filtrado['segundos'].std(skipna=True)
if np.isnan(tiempo):
return
tiempo = int(round(tiempo))
ultimo_tiempo = df_filtrado['segundos'].iloc[-1]
ultimo_tiempo = ultimo_tiempo.astype(int)
range(ultimo_tiempo + tiempo,
(self.pronostico + 1) * tiempo + ultimo_tiempo, tiempo)
nuevos_tiempos = np.array(
range(ultimo_tiempo + tiempo,
(self.pronostico + 1) * tiempo + ultimo_tiempo, tiempo))
X = df_filtrado["segundos"].to_numpy().reshape(-1, 1)
Y = df_filtrado["valor"].to_numpy().reshape(-1, 1)
linear_regressor = LinearRegression()
linear_regressor.fit(X, Y)
Y_pred = linear_regressor.predict(nuevos_tiempos.reshape(-1, 1))
for tiempo, prediccion in zip(nuevos_tiempos, Y_pred):
time_format = datetime.utcfromtimestamp(tiempo)
date_time = time_format.replace(
tzinfo=datetime.timezone(datetime.timedelta(
hours=-5))).isoformat()
self.publicar(
"prediccion-{}".format(sensor),
"{topic:{},payload:{},timestamp:{}}".format(
sensor, prediccion[0], date_time))
def dict_to_object(self, d):
if '__type__' not in d:
return d
type = d.pop('__type__')
try:
dateobj = datetime(**d)
# TODO verify working!
tzone = datetime.timezone(d['tzinfo'])
loc_dt = tzone.localize(dateobj)
return loc_dt
except:
d['__type__'] = type
return d
datetime.datetime(2015, 5, 17, 16, 57, 3, 540997) >>> now + timedelta(days=2, hours=12) datetime.datetime(2015, 5, 21, 4, 57, 3, 540997) 8. 本地时间转换为UTC时间 一个datetime类型有一个时区属性tzinfo，但是默认为None。 所以无法区分这个datetime到底是哪个时区，除非通过该属性强行给datetime设置一个时区： >>> from datetime import datetime, timedelta, timezone >>> tz_utc_8 = timezone(timedelta(hours=8)) # 创建时区UTC+8:00 >>> now = datetime.now() >>> now datetime.datetime(2015, 5, 18, 17, 2, 10, 871012) >>> dt = now.replace(tzinfo=tz_utc_8) # 强制设置为UTC+8:00 >>> dt datetime.datetime(2015, 5, 18, 17, 2, 10, 871012, tzinfo=datetime.timezone(datetime.timedelta(0, 28800))) 9. 通过astimezone实现时区的转换 # 拿到UTC时间，并强制设置时区为UTC+0:00: >>> utc_dt = datetime.utcnow().replace(tzinfo=timezone.utc) >>> print(utc_dt) 2016-06-17 16:13:12.377316+00:00 # astimezone()将转换时区为北京时间: >>> bj_dt = utc_dt.astimezone(timezone(timedelta(hours=8))) >>> print(bj_dt) 2016-06-17 16:13:12.377316+08:00 例子： 假设你获取了用户输入的日期和时间如2015-1-21 9:01:30，以及一个时区信息如UTC+5:00，均是str，请编写一个函数将其转换为timestamp： import re
def tz():
return datetime.timezone(datetime.timedelta(seconds=tms.tm_gmtoff))
datetime.datetime(2018, 5, 19, 20, 25, 16, 282094) >>> now - timedelta(days=2, hours=6) datetime.datetime(2018, 5, 7, 14, 25, 16, 282094) 本地时间转为UTC时间 本地时间是指系统设定时区的时间，例如北京时间是UTC+8:00时区的时间，而UTC时间指UTC+0:00时区的时间。 一个datetime类型有一个时区属性tzinfo，但是默认为None， 所以无法区分这个datetime到底是哪个时区，除非强行给datetime设置一个时区： >>> from datetime import datetime, timedelta, timezone >>> utc_8 = timezone(timedelta(hours=8)) ## 创建时区UTC+8:00 >>> now = datetime.now() >>> now datetime.datetime(2018, 5, 9, 20, 30, 3, 467520) >>> dt = now.replace(tzinfo=utc_8) #强制设置为UTC+8:00 >>> dt datetime.datetime(2018, 5, 9, 20, 30, 3, 467520, tzinfo=datetime.timezone(datetime.timedelta(0, 28800))) #如果系统时区恰好是UTC+8:00，那么上述代码就是正确的，否则，不能强制设置为UTC+8:00时区。 时区转换 通过utcnow()拿到当前的UTC时间，再转换为任意时区的时间： # 拿到UTC时间，并强制设置时区为UTC+0:00: >>> utc_dt = datetime.utcnow().replace(tzinfo=timezone.utc) >>> print(utc_dt) 2018-05-09 12:33:57.221890+00:00 # astimezone()将转换时区为北京时间: >>> bj_dt = utc_dt.astimezone(timezone(timedelta(hours=8))) >>> print(bj_dt) 2018-05-09 20:33:57.221890+08:00 # astimezone()将转换时区为东京时间:
from datetime import datetime, timedelta, timezone
tz_utc_8 = timezone(timedelta(hours=8)) # 创建时区UTC+8:00
now = datetime.now()
print(now)
datetime.datetime(2015, 5, 18, 17, 2, 10, 871012)
dt = now.replace(tzinfo=tz_utc_8) # 强制设置为UTC+8:00
print(dt)
datetime.datetime(2015,
5,
18,
17,
2,
10,
871012,
tzinfo=datetime.timezone(datetime.timedelta(0, 28800)))
# 如果系统时区恰好是UTC+8:00，那么上述代码就是正确的，否则，不能强制设置为UTC+8:00时区。
# 时区转换
#
# 我们可以先通过utcnow()拿到当前的UTC时间，再转换为任意时区的时间：
# 拿到UTC时间，并强制设置时区为UTC+0:00:
utc_dt = datetime.utcnow().replace(tzinfo=timezone.utc)
print(utc_dt)
# 2015-05-18 09:05:12.377316+00:00
# astimezone()将转换时区为北京时间:
bj_dt = utc_dt.astimezone(timezone(timedelta(hours=8)))
print(bj_dt)
# 2015-05-18 17:05:12.377316+08:00
async def _zikannnnnnn(ctx):
# t = datetime.datetime.utcnow().replace(tzinfo=datetime.timezone.utc)
now = datetime.datetime.now(datetime.timezone(datetime.timedelta(hours=9)))
color = random.randint(0x000000, 0xffffff)
await ctx.send(embed=discord.Embed(title="時間です。よく見ておいてくださいね。", description=f"{now}", color=color))
<class 'datetime.timedelta'>
>>> diff.days
2109
>>> diff.total_seconds()
182223650.0
>>> today + timedelta(days=49)
datetime.date(2021, 5, 16)
>>> now + timedelta(weeks=7)
datetime.datetime(2021, 5, 16, 15, 25, 16, 258274)
# parsing (stdlib)
>>> datetime.fromisoformat('1977-11-24T19:30:13+01:00')
datetime.datetime(
1977, 11, 24, 19, 30, 13,
tzinfo=datetime.timezone(datetime.timedelta(seconds=3600))
)
>>> datetime.fromtimestamp(time.time())
datetime.datetime(2021, 3, 28, 15, 42, 2, 142696)
>>> datetime.now()
datetime.datetime(2021, 3, 28, 15, 42, 1, 120094)
# arrow small demo
>>> import arrow
>>> arrow.utcnow()
<Arrow [2021-03-28T14:43:20.017213+00:00]>
>>> arrow.now()
<Arrow [2021-03-28T15:43:39.370099+01:00]>
