Convert instances of jsm into Pandas DataFrame.

jsm2pandas.py

import pandas as pd
import jsm
import datetime

def get_historical_price(stockcode, start_date=None, end_date=None):
    q = jsm.Quotes()
    if start_date is None or end_date is None:
        jsm_data = q.get_historical_prices(stockcode)
    else:
        jsm_data = q.get_historical_prices(stockcode, jsm.DAILY, start_date, end_date, jsm.DAILY)
    jsm_dict = map(lambda x: x.__dict__ , jsm_data)
    f = lambda x: pd.DataFrame.from_dict(x, orient="index").transpose().set_index("date")
    result = pd.concat(list(map(f, jsm_dict)))
    return result

def get_financial_data(stockcode):
    q = jsm.Quotes()
    jsm_data = q.get_finance(stockcode)
    jsm_dict = jsm_data.__dict__
    f = lambda x: pd.DataFrame.from_dict(x, orient="index").transpose()
    result = f(jsm_dict)
    result["code"] = stockcode
    return result.set_index("code")

def get_brand_data(brand_id=None):
    q = jsm.Quotes()
    if brand_id is None:
        jsm_data = q.get_brand()
    else:
        jsm_data = q.get_brand(brand_id)
    jsm_dict = map(lambda x: x.__dict__ , jsm_data)
    f = lambda x: pd.DataFrame.from_dict(x, orient="index").transpose().set_index("ccode")
    result = pd.concat(list(map(f, jsm_dict)))
    return result