Python 0409非空对象 国籍20409非空对象 notes 20409非空对象 numcases 20409非空对象 patientnumber 20409非空对象 source1 20409非空对象 source2 20409非空对象 source3 2040

0409非空对象 国籍20409非空对象 notes 20409非空对象 numcases 20409非空对象 patientnumber 20409非空对象 source1 20409非空对象 source2 20409非空对象 source3 20409非空对象 状态码20409非空对象 statepatientnumber 20409非空对象 statuschangedate 20409非空对象 typeoftransmission 20409非空对象 数据类型：对象（20） 内存使用率：3.1+MB Use

j=r.json（）['raw\u data']

Use

j=r.json（）['raw\u data']

import pandas as pd
import requests
r = requests.get('https://api.covid19india.org/raw_data5.json')
j = r.json()
df = pd.DataFrame.from_dict(j)

raw_data
0   {'agebracket': '', 'contractedfromwhichpatient...
1   {'agebracket': '', 'contractedfromwhichpatient...
2   {'agebracket': '', 'contractedfromwhichpatient...
3   {'agebracket': '', 'contractedfromwhichpatient...
4   {'agebracket': '', 'contractedfromwhichpatient...

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 20409 entries, 0 to 20408
Data columns (total 1 columns):
raw_data    20409 non-null object
dtypes: object(1)
memory usage: 159.5+ KB

df.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 20409 entries, 0 to 20408
Data columns (total 20 columns):
 #   Column                               Non-Null Count  Dtype 
---  ------                               --------------  ----- 
 0   agebracket                           20409 non-null  object
 1   contractedfromwhichpatientsuspected  20409 non-null  object
 2   currentstatus                        20409 non-null  object
 3   dateannounced                        20409 non-null  object
 4   detectedcity                         20409 non-null  object
 5   detecteddistrict                     20409 non-null  object
 6   detectedstate                        20409 non-null  object
 7   entryid                              20409 non-null  object
 8   gender                               20409 non-null  object
 9   nationality                          20409 non-null  object
 10  notes                                20409 non-null  object
 11  numcases                             20409 non-null  object
 12  patientnumber                        20409 non-null  object
 13  source1                              20409 non-null  object
 14  source2                              20409 non-null  object
 15  source3                              20409 non-null  object
 16  statecode                            20409 non-null  object
 17  statepatientnumber                   20409 non-null  object
 18  statuschangedate                     20409 non-null  object
 19  typeoftransmission                   20409 non-null  object
dtypes: object(20)
memory usage: 3.1+ MB

df = df['raw_data'].apply(pd.Series)
df.info()

 <class 'pandas.core.frame.DataFrame'>
    RangeIndex: 20409 entries, 0 to 20408
    Data columns (total 20 columns):
    agebracket                             20409 non-null object
    contractedfromwhichpatientsuspected    20409 non-null object
    currentstatus                          20409 non-null object
    dateannounced                          20409 non-null object
    detectedcity                           20409 non-null object
    detecteddistrict                       20409 non-null object
    detectedstate                          20409 non-null object
    entryid                                20409 non-null object
    gender                                 20409 non-null object
    nationality                            20409 non-null object
    notes                                  20409 non-null object
    numcases                               20409 non-null object
    patientnumber                          20409 non-null object
    source1                                20409 non-null object
    source2                                20409 non-null object
    source3                                20409 non-null object
    statecode                              20409 non-null object
    statepatientnumber                     20409 non-null object
    statuschangedate                       20409 non-null object
    typeoftransmission                     20409 non-null object
    dtypes: object(20)
    memory usage: 3.1+ MB