使用json将文件读入pandas数据框

Question

I am trying to read the file into a pandas data frame, but get an error:

ValueError: Mixing dicts with non-Series may lead to ambiguous ordering.

Here is my code:

%matplotlib inline

import pandas as pd
import numpy as np
import json

json_str = !cat data/commonTeamYears\?LeagueID\=00\&Season\=2018-19
json_obj = json.loads(json_str[0])
team=json.loads(json_str[0])
allteams=pd.DataFrame.from_dict(team)

That's I got for team:

{'resource': 'commonteamyears',
 'parameters': {'LeagueID': '00'},
 'resultSets': [{'name': 'TeamYears',
   'headers': ['LEAGUE_ID', 'TEAM_ID', 'MIN_YEAR', 'MAX_YEAR', 'ABBREVIATION'],
   'rowSet': [['00', 1610612737, '1949', '2019', 'ATL'],
    ['00', 1610612738, '1946', '2019', 'BOS'],
    ['00', 1610612740, '2002', '2019', 'NOP'],
    ['00', 1610612741, '1966', '2019', 'CHI'],
    ['00', 1610612742, '1980', '2019', 'DAL'],
    ['00', 1610612743, '1976', '2019', 'DEN'],
    ['00', 1610612745, '1967', '2019', 'HOU'],
    ['00', 1610612746, '1970', '2019', 'LAC'],
    ['00', 1610612747, '1948', '2019', 'LAL'],
    ['00', 1610612748, '1988', '2019', 'MIA'],
    ['00', 1610612749, '1968', '2019', 'MIL'],
    ...

Answer 1

According to pbpython with DataFrame.from_dict function you are creating the dataframe in a column oriented manner. Try DataFrame default constructor with a row oriented approach.

allteams = pd.Dataframe(team)