如何将 api JSON 输出转换为数据框？

Question

我正在使用 SDK 从 NOAA API 中提取天气数据。下面是示例代码：

import requests, json
import pandas as pd
from pandas.io.json import json_normalize

from noaa_sdk import noaa
n = noaa.NOAA()
n.points_forecast(40.7314, -73.8656, hourly=False)

示例输出如下：

{'@context':
['https://raw.githubusercontent.com/geojson/geojson-ld/master/contexts/geojson-base.jsonld',
{'wx': 'https://api.weather.gov/ontology#',    'geo':
'http://www.opengis.net/ont/geosparql#',    'unit':
'http://codes.wmo.int/common/unit/',    '@vocab':
'https://api.weather.gov/ontology#'}],  'type': 'Feature',
'geometry': {'type': 'GeometryCollection',   'geometries': [{'type':
'Point', 'coordinates': [-73.8610332, 40.7408918]},    {'type':
'Polygon',
    'coordinates': [[[-73.8730892, 40.7534295],
      [-73.8775823, 40.7317593],
      [-73.8489801, 40.7283524],
      [-73.84448110000001, 40.7500224],
      [-73.8730892, 40.7534295]]]}]},  'properties': {'updated': '2020-04-03T09:30:44+00:00',   'units': 'us',   'forecastGenerator':
'BaselineForecastGenerator',   'generatedAt':
'2020-04-03T14:18:55+00:00',   'updateTime':
'2020-04-03T09:30:44+00:00',   'validTimes':
'2020-04-03T03:00:00+00:00/P7DT4H',   'elevation': {'value': 14.9352,
'unitCode': 'unit:m'},   'periods': [{'number': 1,
    'name': 'Today',
    'startTime': '2020-04-03T10:00:00-04:00',
    'endTime': '2020-04-03T18:00:00-04:00',
    'isDaytime': True,
    'temperature': 53,
    'temperatureUnit': 'F',
    'temperatureTrend': 'falling',
    'windSpeed': '18 mph',
    'windDirection': 'N',
    'icon': 'https://api.weather.gov/icons/land/day/rain,50?size=medium',
    'shortForecast': 'Chance Light Rain',
    'detailedForecast': 'A chance of rain. Cloudy. High near 53, with temperatures falling to around 50 in the afternoon. North wind around
18 mph, with gusts as high as 29 mph. Chance of precipitation is
50%.'}

我需要将上述 JSON 输出转换为数据框，以便将其导出为 CSV 文件。如何实现？

我需要数据框有以下列

    'name': 'Today',
    'startTime': '2020-04-03T10:00:00-04:00',
    'endTime': '2020-04-03T18:00:00-04:00',
    'isDaytime': True,
    'temperature': 53,
    'temperatureUnit': 'F',
    'temperatureTrend': 'falling',
    'windSpeed': '18 mph',
    'windDirection': 'N',
    'icon': 'https://api.weather.gov/icons/land/day/rain,50?size=medium',
    'shortForecast': 'Chance Light Rain',
    'detailedForecast': 'A chance of rain. Cloudy. High near 53, with temperatures falling to around 50 in the afternoon. North wind around
18 mph, with gusts as high as 29 mph. Chance of precipitation is
50%.'

Answer 1

好的，我们可以先考虑一下。所有相关字段都在列表中的同一个字典中。这是 DataFrame 的本机条目。

假设您已将 json 加载到 data 变量中，您可以这样做：

df = pd.DataFrame(data['properties']['periods'],
          columns= ['name', 'startTime', 'endTime', 'isDaytime', 'temperature',
            'temperatureUnit', 'temperatureTrend', 'windSpeed', 'windDirection',
            'icon', 'shortForecast', 'detailedForecast'])

它会给出：

    name                  startTime                    endTime  isDaytime  temperature temperatureUnit temperatureTrend windSpeed windDirection                                               icon      shortForecast                                   detailedForecast
0  Today  2020-04-03T10:00:00-04:00  2020-04-03T18:00:00-04:00       True           53               F          falling    18 mph             N  https://api.weather.gov/icons/land/day/rain,50...  Chance Light Rain  A chance of rain. Cloudy. High near 53, with t...