如何将遍历列表的新结果附加到数据框中的新列中

Question

我正在尝试按如下方式创建一个表，其中列表中的股票作为列附加到数据框：

基本原理 CTRP EBAY ...... MPNGF

价格
股息
五年分红
比率
挂钩比率
价格预订 price_to_sales
账面价值
借记
净收入
每股收益 债务股权
三年平均回报

目前，根据下面的代码，只显示列表中的最后一个权益​​：

MPNGF 基础知识

价格
股息
五年分红
比率
挂钩比率
价格预订 price_to_sales
账面价值
借记
净收入
每股收益 债务股权
三年平均回报

from yahoofinancials import YahooFinancials
import pandas as pd
import lxml
from lxml import html
import requests
import numpy as np
from datetime import datetime


def scrape_table(url):
    page = requests.get(url)
    tree = html.fromstring(page.content)
    table = tree.xpath('//table')
    assert len(table) == 1

    df = pd.read_html(lxml.etree.tostring(table[0], method='html'))[0]

    df = df.set_index(0)
    df = df.dropna()
    df = df.transpose()
    df = df.replace('-', '0')

    df[df.columns[0]] = pd.to_datetime(df[df.columns[0]])
    cols = list(df.columns)
    cols[0] = 'Date'
    df = df.set_axis(cols, axis='columns', inplace=False)

    numeric_columns = list(df.columns)[1::]
    df[numeric_columns] = df[numeric_columns].astype(np.float64)

    return df

ecommerce = ['CTRP', 'EBAY', 'GRUB', 'BABA', 'JD', 'EXPE', 'AMZN', 'BKNG', 'MPNGF']

price=[]
dividend=[]
five_year_dividend=[]
pe_ratio=[]
pegRatio=[]
priceToBook=[]
price_to_sales=[]
book_value=[]
ebit=[]
net_income=[]
EPS=[]
DebtEquity=[]
threeYearAverageReturn=[]

for i, symbol in enumerate(ecommerce):     
    yahoo_financials = YahooFinancials(symbol)
    balance_sheet_url = 'https://finance.yahoo.com/quote/' + symbol + '/balance-sheet?p=' + symbol
    df_balance_sheet = scrape_table(balance_sheet_url)
    df_balance_sheet_de = pd.DataFrame(df_balance_sheet, columns = ["Total Liabilities", "Total stockholders' equity"])
    j= df_balance_sheet_de.loc[[1]]   
    j['DebtEquity'] = j["Total Liabilities"]/j["Total stockholders' equity"]
    k= j.iloc[0]['DebtEquity']

    X = yahoo_financials.get_key_statistics_data()
    for d in X.values():
        PEG = d['pegRatio']
        PB = d['priceToBook']
        three_year_ave_return = d['threeYearAverageReturn']

    data = [['price', yahoo_financials.get_current_price()], ['dividend', yahoo_financials.get_dividend_yield()], ['five_year_dividend', yahoo_financials.get_five_yr_avg_div_yield()], ['pe_ratio', yahoo_financials.get_pe_ratio()], ['pegRatio', PEG], ['priceToBook', PB], ['price_to_sales', yahoo_financials.get_price_to_sales()], ['book_value', yahoo_financials.get_book_value()], ['ebit', yahoo_financials.get_ebit()], ['net_income', yahoo_financials.get_net_income()], ['EPS', yahoo_financials.get_earnings_per_share()], ['DebtEquity', mee], ['threeYearAverageReturn', three_year_ave_return]]
    data.append(symbol.text)
    df = pd.DataFrame(data, columns = ['Fundamentals', symbol])
    df

请就上表中我哪里出了问题寻求您的建议？非常感谢！

Answer 1

您需要在 for 循环之外调用 df。您当前编写的代码将为每个循环重新创建一个新的 df。