如何解释重复的每小时记录 - 地下 API.

Question

对于特定的历史查询：http://api.wunderground.com/api/MY_API_KEY/history_20131231/geolookup/q/Beijing/Beijing.json

我得到给定小时的周期性重复数据。例如，在 2014 年 1 月 1 日下午 2：00 将有两行具有不同的数据，例如：

"Year", "Month", "Day", "Hour", "Min", "Humidity", "Temperature_F", "Windspeed_mph", "Wind_direction_deg", "Air_Pressure_mb"
"2014","01","01","14","00","7","53","6.7","250","1014"
"2014","01","01","14","00","13","51.8","17.9","300","1014"

我不认为这是我的代码的问题，而是 API 的问题。我该如何解释？无论如何，这是我的代码：

'''
Takes a date and file name, returns an hourly print out of historical weather
data, including humidity, temperature, wind speed, wind direction, and air      pressure
'''
def print_column_headings(headers, file_name):
    with open (file_name, 'wb') as initial_file:
        w = csv.writer(initial_file, quoting=csv.QUOTE_ALL)
        w.writerow(headers)
    initial_file.close()
def print_one_day_of_weather_data(year, month, day, max_rows, file_to_write):
# get data
url = 'http://api.wunderground.com/api/<MY_API_KEY>/history_' + year + month + day +'/geolookup/q/Beijing/Beijing.json'
f = urllib2.urlopen(url)
print url
json_string = f.read()
parsed_json = json.loads(json_string)
# paramterize data
all_obs = parsed_json['history']['observations']
# if we reach the end of the observations
for n in range(0, len(all_obs)):
    # or we exceed the max rows desired
    if n > max_rows:
        return 0
    else: 
        base_path = all_obs[n]
        date_path = base_path['date']
        year = date_path['year']
        month = date_path['mon']
        day = date_path['mday']
        hour = date_path['hour']
        min = date_path['min']
        humidity = base_path['hum']
        temp_f = base_path['tempi']
        windspeed_mph = base_path['wspdi']
        winddir_deg = base_path['wdird']
        air_pressure_mb = base_path['pressurem']
        # utc time
        params = [year, month, day, hour, min, humidity, temp_f, windspeed_mph, winddir_deg, air_pressure_mb]
        print params
        with open (file_to_write, 'a') as csvfile:
            w = csv.writer(csvfile, quoting=csv.QUOTE_ALL)
            w.writerow(params)
        csvfile.close()

headers = ("Year", "Month", "Day", "Hour", "Min", "Humidity", "Temperature_F", "Windspeed_mph", "Wind_direction_deg", "Air_Pressure_mb")
def append_leading_zeroes(num):
return "%02d" % (num,)
def days_in_a_month(year, month_num):
    return calendar.monthrange(year, month_num)[1]
def file_namer(city, month_num, year): 
    return "raw weather - local time " + city + "-" + calendar.month_name[month_num] + "-" + str(year) + ".csv"
def gen_entire_month(city, month, year, should_print_headers, start_at_day=1):
    file_name = file_namer(city, month, year)
    if should_print_headers:
      print_column_headings(headers, file_name)
  for day in range(start_at_day, days_in_a_month(year, month) + 1):
    print_one_day_of_weather_data(str(year), append_leading_zeroes(month), append_leading_zeroes(day), 100, file_name)      
    # if we make too many calls in a short period of time, the API refuses are calls
    time.sleep(60)
gen_entire_month("Beijing", 1, 2014, should_print_headers=True)

Answer 1

我们从 2 个 NWS 或世界气象组织来源获得一些 obs。 查看"metar"字段，仅使用以"METAR ..."开头的读数因为那些来自 OBS 站。 以其他任何东西开头的那些，如AAXX是特殊的阅读。 它们也是合法的，但是通过混合这两个来源，它令人困惑。