Question

我试图从Api中提取数据，这应该会给我某个区域的海洋条件。我在拉取数据并将它们分成单独的变量时遇到了一些麻烦。理想情况下，我希望这些数据作为数据帧出现，但我不介意它以另一种方式出现。我没有这方面的经验，所以不确定我是否正确地这样做。我的代码：

dataLink = 
'http://magicseaweed.com/api/MYApiKEY/forecast/?spot_id=1407&units=eu'
data = urllib.request.urlopen(dataLink)
data = data.readline().decode("utf-8")
data = json.loads(data)
data = pd.DataFrame(data)
swell = data[(data['charts']=='swell')]

显示forcast的网址示例：

[{"timestamp":1502755200,"localTimestamp":1502755200,"issueTimestamp":1502755200,"fadedRating":1,"solidRating":0,"swell":{"absMinBreakingHeight":0.61,"absMaxBreakingHeight":0.95,"unit":"m","minBreakingHeight":0.6,"maxBreakingHeight":0.9,"components":{"combined":{"height":1.2,"period":7,"direction":77.13,"compassDirection":"WSW"},"primary":{"height":1.2,"period":7,"direction":70.75,"compassDirection":"WSW"},"secondary":{"height":0.1,"period":11,"direction":92.74,"compassDirection":"W"}}},"wind":{"speed":18,"direction":90,"compassDirection":"W","chill":13,"gusts":25,"unit":"kph"},"condition":{"pressure":1013,"temperature":15,"weather":12,"unitPressure":"mb","unit":"c"},"charts":{"swell":"https:\/\/hist-1.msw.ms\/wave\/750\/1-1502755200-1.gif","period":"https:\/\/hist-1.msw.ms\/wave\/750\/1-1502755200-2.gif","wind":"https:\/\/hist-1.msw.ms\/gfs\/750\/1-1502755200-4.gif","pressure":"https:\/\/hist-1.msw.ms\/gfs\/750\/1-1502755200-3.gif","sst":"https:\/\/hist-1.msw.ms\/sst\/750\/1-1502755200-10.gif"}},

Answer 1

您似乎需要json_normalize：

from pandas.io.json import json_normalize

data = json.loads(data)
df = json_normalize(data)
print (df)

                                         charts.wind  condition.pressure  \
0  https:\/\/hist-1.msw.ms\/gfs\/750\/1-150275520...                1013   

   condition.temperature condition.unit condition.unitPressure  \
0                     15              c                     mb   

   condition.weather    ...      swell.maxBreakingHeight  \
0                 12    ...                          0.9   

   swell.minBreakingHeight  swell.unit   timestamp  wind.chill  \
0                      0.6           m  1502755200          13   

   wind.compassDirection wind.direction  wind.gusts  wind.speed  wind.unit  
0                      W             90          25          18        kph  

[1 rows x 38 columns]

Python Api将数据作为数据帧

1 个答案: