def load_wdata(year=[2016]):
wpath = '/Users/nickedwards/Dropbox (Thacher)/Observatory/Weather/Data/'
if len(year)==1:
year = year[0]
wdata = w.get_data(dpath=wpath,year=year)
return wdata
elif len(year)==2:
start_yr = year[0]
stop_yr = year[1]
if stop_yr < start_yr:
print "Fix year order, so that they are chronological"
return []
#write loop that can deal with year differences bigger than 2
#np.arange(2014,2018,1)
#Out[8]: array([2014, 2015, 2016, 2017])
#year_duration = np.arange(start_yr,stop_yr,1)
#data = []
#for i in year_duration[i]:
#data[]
if stop_yr-start_yr > 1:
print "Fix coming soon, please only have year increments of only 1"
return []
start_data = w.get_data(dpath=wpath,year=start_yr)
stop_data = w.get_data(dpath=wpath,year=stop_yr)
# fix dtypes
wdata = {}
for key in start_data.keys():
wdata[key] = np.append(start_data[key],stop_data[key])
return wdata
else:
print "Fix year amount."
return []
def send_weather(self, event):
locat = self.locat.GetLineText(0)
tw.loc(self.log, locat)
send_text = tw.get_data(self.log, locat)
send_phno = self.phno.GetLineText(0)
try:
sms.sms_send(send_phno, send_text)
except:
self.log.AppendText(
'Error Occured. Check proper internet connectivity\n\nIf problem persists, we regret and please contact admin.\n'
)
else:
self.log.AppendText('\nWeather succesfully sent to :' + send_phno)
finally:
self.log.AppendText('\n\n' + 'Buzzer v1.0'.center(50, '=') +
'\n\n')
def send_email():
weather_data, icon_url = get_data('KLAX')
file_test = "test_email.html"
html_report(weather_data, icon_url, file_test)
msg = MIMEMultipart('alternative')
with open(file_test, mode='rb') as fopen:
msg = MIMEText(fopen.read(), 'html', 'html')
msg['Subject'] = "Hourly data"
msg['From'] = "*****@*****.**"
msg['TO'] = "*****@*****.**"
server = smtplib.SMTP('smtp.gmail.com', 587)
server.ehlo()
server.starttls()
server.ehlo()
server.login('*****@*****.**', 'test@5111998')
server.send_message(msg)
server.close()
import weather
import json
# 爬training 資料
for y in range(2008, 2018):
# 跑所有個月份
for m in range(1, 13):
if m < 10:
m = "0" + str(m)
# print(m)
weather.get_data(y, m)
print(y, "/", m)
# 放置最終合併資料
dataset = {}
for y in range(2008, 2016):
# 將每年一月的json檔讀取當作基準
path = "data3/" + str(y) + "-01" + ".json"
json_data = open(path).read()
data = json.loads(json_data)
# print(data["ObsTime"])
# 依序將當年其他月份資料合併
for m in range(2, 13):
# 可改寫法
if m < 10:
m = "0" + str(m)
path1 = "data3/" + str(y) + "-" + str(m) + ".json"
json_data1 = open(path1).read()
# 讀成dict
def get_data(k):
weather.get_data(k)
users = None
with open("D:\\Code\\Demo\\userdata.csv", 'r') as f:
users = f.readlines()
numbers = ""
for user in users:
userdata = user.split(",")
name = userdata[0]
city = userdata[1]
phone = userdata[2]
# get data from weather and thinsspeak
data = weather.get_data(city)
summary = thingspeak.get_thingspeak_data()
# print(summary)
# print(data)
# from the msg and place the data at appropriate position.
display_data = "\n\n Hello {name}, today's temperature in {city} is at {temp} degree Celcius and it feels like {feels_like}. " \
"Humidity at your field reads {humidity} and Pressure is at {pressure}. Current weather description is {description}." \
" {summary}".format(name= name, city = city, temp = summary['temperature'], feels_like = data['feels_like'],
humidity = summary['humidity'], pressure = data['pressure'], description = data['description'], summary = summary['text'])
print(display_data)
#Balachandra,Bhatkal,6360239412
def test_request_response(self):
response = get_data(APIKEY, "Poznan")
assert_is_not_none(response)
0, cyl_3_av[0][time], np.nan, np.nan, np.nan, np.nan, np.nan,
np.nan, np.nan
]
else:
data_dict[float(cyl_3_av[1][time])][1] = cyl_3_av[0][time]
for time in range(len(pi_1[1])):
if not float(pi_1[1][time]) in data_dict:
data_dict[float(pi_1[1][time])] = [
np.nan, np.nan, pi_1[0][time], np.nan, np.nan, np.nan, np.nan,
np.nan, np.nan
]
else:
data_dict[float(pi_1[1][time])][2] = pi_1[0][time]
weather_data = weather.get_data()
times = weather.get_times(weather_data)
pressures = weather.get_pressures(weather_data)
rainfall = weather.get_rainfall(weather_data)
temperatures = weather.get_temperatures(weather_data)
humidity = weather.get_humidity(weather_data)
solar = weather.get_solar_irradiation(weather_data)
for time in range(len(times)):
if not float(times[time]) in data_dict:
data_dict[float(times[time])] = [
np.nan, np.nan, np.nan, np.nan, pressures[time],
temperatures[time], rainfall[time], humidity[time], solar[time]
]
else:
data_dict[float(times[time])][4] = pressures[time]
import matplotlib.pyplot as plt
import muons as mu
import numpy as np
import weather as w
import pi_muons as pi
import sys
args = map(lambda x: x.replace("-", ""), sys.argv[1:])
plot_deviation = "dev" in args
# Get weather data.
weather = w.get_data()
weather_times = w.get_times(weather)
# Get data from lab muon detectors.
muon_data = mu.get_data()
# Average in time intervals.
muon_data = mu.average_with_step(muon_data, 600 * 6)
muon_times = muon_data[0]
muon_counts = muon_data[1]
if plot_deviation:
# Take deviation from mean
muon_avg = np.average(muon_counts)
muon_counts = list(map(lambda x: (x - muon_avg) / muon_avg, muon_counts))
# Get data from pidetector.
pi_muons = pi.get_counts()
pi_muons_data = pi.get_counts_in_time(pi_muons, 600 * 6)
pi_times = pi_muons_data[0]
pi_counts = pi_muons_data[1]
def _format_addr(s):
name, addr = parseaddr(s)
return formataddr((Header(name, 'utf-8').encode(), addr))
#from_addr=input('From:')
from_addr = '****'
#password=input('Password:'******'******'
#to_addr=input('To:')
to_addr = '******'
#smtp_server=input('SMTP server:')
smtp_server = 'smtp.163.com'
content = render_email(get_data())
msg = MIMEMultipart()
msg.attach(MIMEText(content, 'html', 'utf-8'))
msg['From'] = _format_addr('Python爱好者<%s>' % from_addr)
msg['To'] = _format_addr('儿子<%s>' % to_addr)
msg['Subject'] = Header('天气预报', 'utf-8').encode()
server = smtplib.SMTP(smtp_server, 25)
#server.starttls()
server.set_debuglevel(1)
server.login(from_addr, password)
server.sendmail(from_addr, [to_addr], msg.as_string())
server.quit()
def get_data(k):
weather.get_data(k)
def write_lab_data():
times, counts = mu.get_data(no_print=True)
data = Data().from_counts_times(counts, times)
associate_weather(data, w.get_data())
data.write_to_file(file_lab)
