python - 将 URL 请求从 JSON 转换为 Pandas DataFrame

Question

我已经尝试了一些关于请求数据并将其转换为 pandas 数据帧的教程，但是当它转换为 pandas 数据帧时，它不显示任何数据。请参阅下文。

尝试 1

首先，检查 URL 是否有 200 状态:

import requests
query = "https://data.epa.gov/efservice/PUB_DIM_FACILITY/ROWS/0:10/JSON"
response = requests.get(query)
print(response.status_code)
>>> 200

其次，检查请求内容。到目前为止看起来不错，因为从 URL 中提取了 JSON 格式的多行数据。

s=requests.get(query).content
print(s)
>>> b'[{"FACILITY_ID":1000001,"LATITUDE":48.828707,"LONGITUDE":-122.685533,"CITY":"FERNDALE"

最后，将 s 请求 JSON 数据转换为 Pandas Dataframe。

但是，这不起作用。

dataframe=pd.read_csv(io.StringIO(s.decode('utf-8')), encoding='utf-8', error_bad_lines=False)
dataframe.head()
>>> 0 rows × 459 columns

尝试 2

import pandas as pd
import io
import requests

url = 'https://data.epa.gov/efservice/PUB_DIM_FACILITY/ROWS/0:10/JSON'
r = requests.get(url)  
df = pd.read_csv(io.StringIO(r.t
ext))
>>> 0 rows × 459 columns

我在这里做错了什么？任何意见将不胜感激。谢谢。

Answer 1

试试这个

import pandas as pd

df = pd.read_json('https://data.epa.gov/efservice/PUB_DIM_FACILITY/ROWS/0:10/JSON')

FACILITY_ID LATITUDE    LONGITUDE   CITY    STATE   ZIP COUNTY_FIPS COUNTY  ADDRESS1    ADDRESS2    ... REPORTED_INDUSTRY_TYPES FACILITY_TYPES  SUBMISSION_ID   UU_RD_EXEMPT    REPORTING_STATUS    PROCESS_STATIONARY_CML  COMMENTS    RR_MRV_PLAN_URL RR_MONITORING_PLAN  RR_MONITORING_PLAN_FILENAME
0   1000001 48.828707   -122.685533 FERNDALE    WA  98248   53073   WHATCOM COUNTY  5105 LAKE TERRELL ROAD  NaN ... D   Direct Emitter  176997  NaN NaN NaN NaN NaN NaN NaN
1   1000001 48.828707   -122.685533 FERNDALE    WA  98248   53073   WHATCOM COUNTY  5105 LAKE TERRELL ROAD  NaN ... C   Direct Emitter  5752    NaN NaN NaN NaN NaN NaN NaN