Question

我正在尝试使用熊猫将字典项转换为表格，但是问题是我没有得到期望的结果。这是我的下面的代码

value = new_stock(data)


dict_stocks = {i: value[i] for i in range (0, len(value))}

df = pd.DataFrame(list(dict_stocks.items()), columns =['Company Name', 'Price per share', Total valuation])

print(df)

我希望输出像

Company name                           price per share       Total valuation
Norwegian Cruise Line Holdings Ltd.', '16.41 Dollars', '3498661376 billion dollars'
Carnival Corporation & Plc', '15.5 Dollars', '10927298560 billion dollars'

但是我的输出是这种格式。

Company Name                                    Price per share
0              0  (Norwegian Cruise Line Holdings Ltd., 16.41 Do...
1              1  (Carnival Corporation & Plc, 15.5 Dollars, 109...
2              2  (Noble Energy, Inc., 10.05 Dollars, 4874652160...
3              3  (Apache Corporation, 13.05 Dollars, 4925304832...
4              4  (Companhia Siderurgica Nacional, 1.66 Dollars,...
5              5  (DCP Midstream, LP, 10.03 Dollars, 2089549824 ...
6              6  (Sabre Corporation, 7.4 Dollars, 2025794432 bi...
7              7  (Sasol Limited, 5.13 Dollars, 3016778496 billi...
8              8  (Continental Resources, Inc., 15.85 Dollars, 5...
9              9  (Marathon Oil Corporation, 5.85 Dollars, 46239...
10            10  (AerCap Holdings N.V., 28.47 Dollars, 37461678...
11            11  (Penn National Gaming, Inc., 18.61 Dollars, 21...
12            12  (Royal Caribbean Cruises Ltd., 48.06 Dollars, ...
13            13  (Canadian Natural Resources Limited, 17.38 Dol...
14            14  (WPX Energy, Inc., 6.08 Dollars, 3400939008 bi...
15            15  (Ryman Hospitality Properties, Inc., 37.78 Dol...
16            16  (TechnipFMC plc, 9.27 Dollars, 4124464384 bill...
17            17  (Diamondback Energy, Inc., 44.19 Dollars, 6973...
18            18  (Santander Consumer USA Holdings Inc., 17.05 D...
19            19  (Marathon Petroleum Corporation, 33.04 Dollars...
20            20  (Air Lease Corporation, 26.72 Dollars, 3036327...
21            21  (Carnival Corporation & Plc, 16.69 Dollars, 13...
22            22  (Howmet Aerospace Inc., 13.89 Dollars, 6054915...
23            23  (Aaron's, Inc., 32.33 Dollars, 2184589824 bill...
24            24  (Tata Motors Limited, 5.88 Dollars, 3851547136...

我将不胜感激

******其他**** 这是代码的其余部分

import requests
import pprint
import json
import pandas as pd


url = "https://yahoo-finance15.p.rapidapi.com/api/yahoo/ga/topgainers"

querystring = {"start":"0"}

headers = {
    'x-rapidapi-host': "yahoo-finance15.p.rapidapi.com",
    'x-rapidapi-key': "9efd0f3e52mshd859f5daf34a429p11cb2ajsn2b0e421d681e"
    }

response = requests.request("GET", url, headers=headers, params=querystring)
data = response.json()

#print(response.text)


def new_stock(data):
    new_market = []

    for item in data ['quotes']:
        new_name = item.get ('longName')
        new_price = item.get ('regularMarketPrice')
        res_price = (f'{new_price} Dollars')
        cap =item.get('marketCap')
        if cap >= 1000000000:
            cap = f'{cap} billion dollars'
        else:
            cap = f'{cap} million dollars'
        new_market.append((new_name, res_price, cap))

    return new_market

value = new_stock(data)

Answer 1

我想这就是你想要的：

In [403]: value = [('Norwegian Cruise Line Holdings Ltd.', 
     ...:   '16.41 Dollars', 
     ...:   '3498661376 billion dollars'), 
     ...:  ('Carnival Corporation & Plc', '15.5 Dollars', '10927298560 billion dollars'), 
     ...:  ('Noble Energy, Inc.', '10.05 Dollars', '4874652160 billion dollars'), 
     ...:  ('Apache Corporation', '13.05 Dollars', '4925304832 billion dollars'), 
     ...:  ('Companhia Siderurgica Nacional', 
     ...:   '1.66 Dollars', 
     ...:   '1905845888 billion dollars'), 
     ...:  ('DCP Midstream, LP', '10.03 Dollars', '2089549824 billion dollars')]

In [407]: df = pd.DataFrame(value, columns=['Company name','price per share','Total valuation'])                                                                                                            

In [408]: df                                                                                                                                                                                                
Out[408]: 
                          Company name price per share              Total valuation
0  Norwegian Cruise Line Holdings Ltd.   16.41 Dollars   3498661376 billion dollars
1           Carnival Corporation & Plc    15.5 Dollars  10927298560 billion dollars
2                   Noble Energy, Inc.   10.05 Dollars   4874652160 billion dollars
3                   Apache Corporation   13.05 Dollars   4925304832 billion dollars
4       Companhia Siderurgica Nacional    1.66 Dollars   1905845888 billion dollars
5                    DCP Midstream, LP   10.03 Dollars   2089549824 billion dollars

熊猫的表格格式不正确

1 个答案: