Question

我试过这个，但我的前景很混乱

from io import StringIO, BytesIO
Trial ='https://data.cityofnewyork.us/resource/t7ny-aygi.geojson?vendorid=VTS&payment_type=CRD&$limit=500'
trialck = requests.get(Trial).content
final = pd.read_csv(StringIO(trialck.decode('utf-8')), sep = '\t')
final.head()

{＆＃34; type＆＃34;：＆＃34; FeatureCollection＆＃34;，＆＃34;功能＆＃34;：[{＆＃34; type＆＃34;：＆＃34; Feature＆＃34; ，＆＃34;几何＆＃34;：{＆＃34;类型＆＃34;：＆＃34;点＆＃34;，＆＃34;坐标＆＃34;：[ - 73.87057,40.773757]}，＆＃34;属性＆＃34;：{＆＃34; tpep_dropoff_datetime＆＃34;：＆＃34; 2013-04- 02T16：00：00.000＆＃34;，＆＃34; trip_distance＆＃34;：＆＃34; 11.279999999999999＆＃34 ;，＆＃34; dropoff_longitude＆＃34;：＆＃34; -73.870570000000001＆＃34;，＆＃34; pickup_latitude＆＃34;：＆＃34; 40.732897000000001＆＃34;，＆＃34; tolls_amount＆＃34;：＆＃34; 0＆＃34;＆＃34; tip_amount＆＃34;：＆＃34; 0＆＃34;＆＃34; payment_type＆＃34;：＆＃34; CRD＆＃34;＆＃34; fare_amount＆＃34;：＆＃34; 37＆＃34;＆＃34; pickup_longitude＆＃34;：＆＃34; -73.991167000000004＆＃34;＆＃34; passenger_count＆＃34;：＆＃34; 6＆＃34; ＆＃34; store_and_fwd_flag＆＃34;：空，＆＃34;额外＆＃34;：＆＃34; 0＆＃34;＆＃34;厂商ID＆＃34;：＆＃34; VTS＆＃34;＆＃ 34; pickup_location＆＃34; {＆＃34;类型＆＃34;：＆＃34;点＆＃34;＆＃34;坐标＆＃34;：[ - 73.991167,40.732897]}，＆＃34; TOTAL_AMOUNT＆＃34 ;：＆＃34; 37.5＆＃34;＆＃34; tpep_pickup_datetime＆＃34;：＆＃34; 2013-04-02T15：22：00.0 00＆＃34;＆＃34; dropoff_latitude＆＃34;：＆＃34; 40.773757000000003＆＃34;＆＃34; ratecodeid＆＃34;：＆＃34; 1＆＃34;＆＃34; mta_tax＆＃34; ：＆＃34; 0.5＆＃34;}}，{＆＃34;类型＆＃34;：＆＃34;特征＆＃34;＆＃34;几何＆＃34; {＆＃34;类型＆＃34; ：＆＃34;点＆＃34;＆＃34;坐标＆＃34;：[ - 74.00296,40.722112]}，＆＃34;属性＆＃34; {＆＃34; tpep_dropoff_datetime＆＃34;：＆＃34; 2013-07-19T07：52：00.000＆＃34;＆＃34; trip_distance＆＃34;：＆＃34; 5.5＆＃34;＆＃34; dropoff_longitude＆＃34;：＆＃34; -74.002960000000002＆＃ 34;，＆＃34; pickup_latitude＆＃34;：＆＃34; 40.766105000000003＆＃34;＆＃34; tolls_amount＆＃34;：＆＃34; 0＆＃34;＆＃34; tip_amount＆＃34;：＆＃34; 3.8999999999999999＆＃34;＆＃34; payment_type＆＃34;：＆＃34; CRD＆＃34;＆＃34; fare_amount＆＃34;：＆＃34; 19.5＆＃34;＆＃34; pickup_longitude＆＃34;：＆＃34; -73.954407000000003＆＃34;＆＃34; passenger_count＆＃34;：＆＃34; 1＆＃34;＆＃34; store_and_fwd_flag＆＃34;：空，＆＃34;额外＆＃34;：＆＃34; 0＆＃34;＆＃34;厂商ID＆＃34;：＆＃34; VTS＆＃34;＆＃34; pickup_location＆＃34; {＆＃34;类型＆＃34 ;: ＆＃34;点＆＃34;＆＃34;坐标＆＃34;：[ - 73.954407,40.766105]}，＆＃34; TOTAL_AMOUNT＆＃34;：＆＃34;＆23.899999999999999 ＃34;＆＃34; tpep_pickup_datetime＆＃34;：＆＃34; 2013-07-19T07：33：00.000＆＃34;＆＃34; dropoff_latitude＆＃34;：＆＃34; 40.722112000000003＆＃34 ;, ＆＃34; ratecodeid＆＃34;：＆＃34; 1＆＃34;＆＃34; mta_tax＆＃34;：＆＃34; 0.5＆＃34;}}，{＆＃34;类型＆＃34;：＆＃34;特征＆＃34;＆＃34;几何＆＃34;：

Answer 1

您可以尝试pandas.io.json.json_normalize。在这种情况下，它无法处理完整的json返回，但如果在json中指定'features'键，则pandas可以将其转换为数据帧。

import requests
url = 'https://data.cityofnewyork.us/resource/t7ny-aygi.geojson?vendorid=VTS&payment_type=CRD&$limit=500'
response = requests.get(url)
data = response.json()
df = pd.io.json.json_normalize(data['features'])

你如何阅读地理数据框或pandas数据框中的geojason url？

1 个答案: