Json-Liste zum Pandas-Datenrahmen ⇐ Python

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Ich habe eine JSON-Liste und kann nicht in einen Pandas-Datenrahmen konvertieren (verschiedene Zeilen und 19 Spalten)
Link zur Antwort: https://www.byma.com. ar/wp-admin/admin-ajax.php?action=get_historico_simbolo&simbolo=INAG&fecha=01-02-2018
json-Antwort:
[
{"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}
]

Ich verwende den nächsten Code, um diesen JSON in einen Datenrahmen zu konvertieren:
def getFinanceHistoricalStockFromByma(tickerList):
dataFrameHistorical = pd.DataFrame()
for item in tickerList:
url = 'https://www.byma.com.ar/wp-admin/admin- ... o&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)

Das Ergebnis von json_normalize ist 1 Zeile und viele Spalten. Wie kann ich diese JSON-Antwort in 1 Zeile pro Liste konvertieren?