Python-Json列表到Pandas Datafram

Question

我有json列表，无法转换为Pandas数据帧（varios行和19列）

链接到响应：https://www.byma.com.ar/wp-admin/admin-ajax.php?action=get_historico_simbolo&simbolo=INAG&fecha=01-02-2018

json响应：

[{"Apertura":35,"Apertura_Homogeneo":35,"Cantidad_Operaciones":1,"Cierre":35,"Cierre_Homogeneo":35,"Denominacion":"INSUMOS AGROQUIMICOS S.A.","Fecha":"02\/02\/2018","Maximo":35,"Maximo_Homogeneo":35,"Minimo":35,"Minimo_Homogeneo":35,"Monto_Operado_Pesos":175,"Promedio":35,"Promedio_Homogeneo":35,"Simbolo":"INAG","Variacion":-5.15,"Variacion_Homogeneo":0,"Vencimiento":"48hs","Volumen_Nominal":5},
{"Apertura":34.95,"Apertura_Homogeneo":34.95,"Cantidad_Operaciones":2,"Cierre":34.95,"Cierre_Homogeneo":34.95,"Denominacion":"INSUMOS AGROQUIMICOS S.A.","Fecha":"05\/02\/2018","Maximo":34.95,"Maximo_Homogeneo":34.95,"Minimo":34.95,"Minimo_Homogeneo":34.95,"Monto_Operado_Pesos":5243,"Promedio":-79228162514264337593543950335,"Promedio_Homogeneo":-79228162514264337593543950335,"Simbolo":"INAG","Variacion":-0.14,"Variacion_Homogeneo":-0.14,"Vencimiento":"48hs","Volumen_Nominal":150},
{"Apertura":32.10,"Apertura_Homogeneo":32.10,"Cantidad_Operaciones":2,"Cierre":32.10,"Cierre_Homogeneo":32.10,"Denominacion":"INSUMOS AGROQUIMICOS S.A.","Fecha":"07\/02\/2018","Maximo":32.10,"Maximo_Homogeneo":32.10,"Minimo":32.10,"Minimo_Homogeneo":32.10,"Monto_Operado_Pesos":98756,"Promedio":32.10,"Promedio_Homogeneo":32.10,"Simbolo":"INAG","Variacion":-8.16,"Variacion_Homogeneo":-8.88,"Vencimiento":"48hs","Volumen_Nominal":3076}]

我使用下一段代码将此json转换为dataframe：

def getFinanceHistoricalStockFromByma(tickerList): 
     dataFrameHistorical = pd.DataFrame()  
     for item in tickerList:
         url = 'https://www.byma.com.ar/wp-admin/admin-ajax.php?action=get_historico_simbolo&simbolo=' + item + '&fecha=01-02-2018'
         response = requests.get(url)
         if response.content : print 'ok info Historical Stock'
         data = response.json()                
         dfItem = jsonToDataFrame(data)                
         dataFrameHistorical = dataFrameHistorical.append(dfItem, ignore_index=True)    
    return dataFrameHistorical

def jsonToDataFrame(jsonStr):    
     return json_normalize(jsonStr)    

json_normalize的结果是1行和许多列。如何将此json响应转换为每个列表一行？

谢谢！

Answer 1

如果将函数中的这一行更改为：dfItem = jsonToDataFrame(data)：

dfItem = pd.DataFrame.from_records(data)

它应该有用。我用这一行替换测试了您的函数，使用['INAG']作为传递给您的getFinanceHistoricalStockFromByma函数的参数，它返回了一个数据帧。