小编Bat*_*ool的帖子

我正在尝试按照以下链接在我的Windows机器上关注烧瓶文档:http: //flask.pocoo.org/docs/0.11/quickstart/#debug-mode

首先,我在python脚本中编写了下面的代码:

from flask import Flask
app = Flask(__name__)

@app.route("/")
def hello():
    return "Hello World!"

if __name__ == "__main__":
    app.run(debug=True)

我将其保存在一个名为的文件中 run.py

然后在命令窗口中编写此命令:

set FLASK_APP = run.py 
flask run

运行此时,我收到以下错误:

"Error: Could not locate flask application. You did not provide the FLASK_APP environment variable"

我期待得到这个:

Running on http://127.0.0.1:5000/

有人能告诉我如何解决这个问题吗？

按照本教程，我尝试从 zillow.com 中提取基本属性信息。更具体地说，我想提取与网站上显示的财产卡相关的信息。

尽管第一页上存在多个属性卡，以下代码只能提取 3 个属性的信息。有人可以解释一下为什么代码会跳过剩余的属性吗？

import requests
import ast
from bs4 import BeautifulSoup

url = 'https://www.zillow.com/homes/for_sale/house,multifamily,townhouse_type/?searchQueryState=%7B%22pagination%22%3A%7B%7D%2C%22mapBounds%22%3A%7B%22west%22%3A-106.43826441618356%2C%22east%22%3A-103.36483912321481%2C%22south%22%3A38.903882034738686%2C%22north%22%3A40.52008627183672%7D%2C%22mapZoom%22%3A9%2C%22customRegionId%22%3A%22fcac4612c1X1-CR9xde3hldsvpa_v24ah%22%2C%22isMapVisible%22%3Afalse%2C%22filterState%22%3A%7B%22hoa%22%3A%7B%22max%22%3A200%7D%2C%22con%22%3A%7B%22value%22%3Afalse%7D%2C%22apa%22%3A%7B%22value%22%3Afalse%7D%2C%22sch%22%3A%7B%22value%22%3Atrue%7D%2C%22ah%22%3A%7B%22value%22%3Atrue%7D%2C%22sort%22%3A%7B%22value%22%3A%22globalrelevanceex%22%7D%2C%22land%22%3A%7B%22value%22%3Afalse%7D%2C%22schu%22%3A%7B%22value%22%3Afalse%7D%2C%22manu%22%3A%7B%22value%22%3Afalse%7D%2C%22schr%22%3A%7B%22value%22%3Afalse%7D%2C%22apco%22%3A%7B%22value%22%3Afalse%7D%2C%22basf%22%3A%7B%22value%22%3Atrue%7D%2C%22schc%22%3A%7B%22value%22%3Afalse%7D%2C%22schb%22%3A%7B%22min%22%3A%227%22%7D%7D%2C%22isListVisible%22%3Atrue%7D'

headers = {
            'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
            'accept-encoding': 'gzip, deflate, br',
            'accept-language': 'en-US,en;q=0.9',
            'cookie': 'zguid=23|%24ca6368b9-7b92-4d51-ab67-c2be89065efd; _ga=GA1.2.1460486079.1621047110; _pxvid=7fa13d96-b528-11eb-9860-0242ac120012; _gcl_au=1.1.2025797213.1621047113; __gads=ID=66253ab863481044:T=1621047113:S=ALNI_MZr3mehwm2Wjo7NOrmalVtEcJSXag; __pdst=50987f626deb4767a53b5d8ca2ea406a; _fbp=fb.1.1621047115574.1019382068; _pin_unauth=dWlkPU5EVm1PRGRpTVRBdE5UTTFaUzAwWlRBNExUZzJZall0TWpZMU1HWTBNV0ppWlRkbA; G_ENABLED_IDPS=google; userid=X|3|231a9d744e104379%7C3%7CiEt8bkUx9hWaFeyCeAwN9tHl_T0d0Cq-kynGuEvNYr4%3D; loginmemento=1|c2274ba4a4ad76bbe89263d30695c182e9177b9c40a2691f3054987d66a944be; zjs_user_id=%22X1-ZU158jhpb2klds9_4wzn7%22; zgcus_lbut=; zgcus_aeut=189997416; zgcus_ludi=b44a961b-c7ef-11eb-a48f-96824e7eff50-18999; optimizelyEndUserId=oeu1623111792776r0.8778663892923859; _cs_c=1; WRUIDAWS=3326630244368428; visitor_id701843=248614376; visitor_id701843-hash=4be116fbd77089f953bfb6eaf5996ef92662a6ef7d237d3c49f154ffaf4eaa9295c64fb254b106bdff234e183c94498c01af2aab; __stripe_mid=80125db1-17d1-4fc5-ae37-86b12a68709cf3da6d; g_state={"i_p":1627697570928,"i_l":4}; zjs_anonymous_id=%22ca6368b9-7b92-4d51-ab67-c2be89065efd%22; _gac_UA-21174015-56=1.1626042638.Cj0KCQjwraqHBhDsARIsAKuGZeH8gi095UkXfohW-WWvyLosdmTdL8cfJwgAabYF9hS2XU6JlXqpWLcaAq5SEALw_wcB; _gcl_aw=GCL.1626042640.Cj0KCQjwraqHBhDsARIsAKuGZeH8gi095UkXfohW-WWvyLosdmTdL8cfJwgAabYF9hS2XU6JlXqpWLcaAq5SEALw_wcB; zgsession=1|1edd82e6-372a-4546-bc8b-c2bbadfd29b4; DoubleClickSession=true; fbc=fb.1.1626412984774.IwAR2QM6bzrTskAWN5Sk8UnmPlAxb1HRy1h1GRch888QqXfczHZZWb2vDZfIw; _fbc=fb.1.1626413249162.IwAR2QM6bzrTskAWN5Sk8UnmPlAxb1HRy1h1GRch888QqXfczHZZWb2vDZfIw; _csrf=lV2BBFim7Vy2gFTn--PUt0VA; _gaexp=GAX1.2.w27igyYtRQaAa8XQM3MjDw.18837.2!VDVoDKTnRcyv8f4FAcJ8PA.18915.2!Khnq27RoQmSe5DEusmh5xA.18913.3; _gid=GA1.2.705011419.1630004829; FSsampler=707279376; __CT_Data=gpv=26&ckp=tld&dm=zillow.com&apv_82_www33=26&cpv_82_www33=26&rpv_82_www33=13; OptanonConsent=isIABGlobal=false&datestamp=Fri+Aug+27+2021+12%3A39%3A52+GMT-0600+(Mountain+Daylight+Time)&version=5.11.0&landingPath=NotLandingPage&groups=1%3A1%2C3%3A1%2C4%3A1&AwaitingReconsent=false; _cs_id=41cbdc9c-bb0b-aad9-9521-b1328a65ff77.1623111795.22.1630089665.1630089591.1.1657275795752; utag_main=v_id:01796deff9e3001a59964343177e03079002907100838$_sn:41$_se:2$_ss:0$_st:1630255637884$dc_visit:38$ses_id:1630253822479%3Bexp-session$_pn:1%3Bexp-session$dcsyncran:1%3Bexp-session$tdsyncran:1%3Bexp-session$dc_event:2%3Bexp-session$dc_region:us-east-1%3Bexp-session$ttd_uuid:7b8796ca-44dd-45c9-97d9-bcb642d04cd1%3Bexp-session; JSESSIONID=6CB8C410E0FE216644E8C3A0D0851618; ZILLOW_SID=1|AAAAAVVbFRIBVVsVEklf443J474nftKzJe5PKLD80sujgHvySB7tGcqZunX3BDDH9VwceMqGMTPC54%2F0q4CH%2BfmwsC6P; KruxPixel=true; _derived_epik=dj0yJnU9ai1PSUp1eHZ2Y3J3d0c2NVU1N3BBOFlHbnRBOGFzT0smbj1vLWRISDFwdUNoblN5MjQ4cTVyN213Jm09MSZ0PUFBQUFBR0VzRjRVJnJtPTEmcnQ9QUFBQUFHRXNGNFU; KruxAddition=true; search=6|1632872450375%7Crect%3D40.241821806991595%252C-103.77545313688668%252C39.18758562803622%252C-106.02765040251168%26disp%3Dmap%26mdm%3Dauto%26type%3Dhouse%252Cmultifamily%252Ctownhouse%26fs%3D1%26fr%3D0%26mmm%3D1%26rs%3D0%26ah%3D0%09%0911093%09%09%09%09%09%09; _uetsid=d5e0465006a011ecbe3bd1a0f1c47d01; _uetvid=987e1c70c40a11ebaed8859af36f82fb; _px3=ba45c3df5d5d63d4d9780a102253cd60b21ab52b04778344e332e05474011c21:oCvapPXE6jD0rCXhSf4UjtEC2U956148EDyiWwRFOF8z5vwK63/hC8OWsk09O61g1spnZw64iXApZu1wOmKpyA==:1000:68UzJ5+ar5XwNm61bm41bhSHp8Zp1PfQQlL/5tcqdUIJ3RmA106//vvYGewCCwmln6acqbDAVKgqfB8Th05yX0Cw0TBW7dhfNdeNRjp9bxeLvKqZ56yuW+aVoYYp/zj6MNKv9c16vKlP771xSdCgUTvZ0CDmh7Ng55sHugOHt/jj+2Zmp2WLnuYR4rf7SEndqWBbAyQhhG4BKeyrZyEMpA==; AWSALB=3BIj2fUDeYgoAcLKaZdMkcyTzWSof62v91DQuCssJMyknlpZWcRcVnUU5Me29AcnFcjg1k9H2ehS6N0rSwxo4w8lmEvFCy6hgQfKm1HH8oVoWtpICS36NoLMMxmZ; AWSALBCORS=3BIj2fUDeYgoAcLKaZdMkcyTzWSof62v91DQuCssJMyknlpZWcRcVnUU5Me29AcnFcjg1k9H2ehS6N0rSwxo4w8lmEvFCy6hgQfKm1HH8oVoWtpICS36NoLMMxmZ',
            'referer': …

我正在尝试为各个位置输出相关矩阵。行名称'PC1'、PC2'等代表主成分。由于解释的主要成分的百分比方差（以及权重）从 PC1 减少到 PC4，我需要运行 Pearson 相关性，以便将 PC 的权重考虑在内。

换句话说，在确定位置之间的相关性时，第 1 行比第 2 行更重要，第 2 行比第 3 行更重要，依此类推......

4 行的简单权重向量可以如下所示：

w = [1.00, 0.75, 0.50, 0.25]

我确实经历了这个，但我对解决方案并不完全清楚，与这个问题不同，我需要在称重其行的同时找到单个矩阵的列内的相关性。

我正在尝试创建一个"群聊"类,它继承了主要"聊天"类中的一些属性.我在"super(chat_id,user1).init()"行中收到错误.我无法解决它!

class Chats(object):

def __init__(self, chat_id, user1):
    self.id = chat_id
    self.initiator = user1
    self.messages = {}  #key is current date/time; value is a list of messages


class GroupMessage(Chats): 

def __init__(self, chat_id, user1, group_name, message):
    super(chat_id, user1).__init__()
    self.group = group
    self.messages[datetime.datetime.now()] = self.messages[datetime.datetime.now()].append(message)   

在实例化'GroupMessage'时,我收到错误!

>  Chat_group = GroupMessage(1, "Batool","AI_group","Text Message")

TypeError:super()参数1必须是type,而不是int