Vanguard | Official Vanguard Anti-Cheat source code | Reverse Engineering library
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kandi X-RAY | Vanguard Summary
Official Vanguard Anti-Cheat source code.
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QUESTION
I'm trying to implement a login system using Nodejs, Express, JWT and MongoDB Atlas. The users are entered manually in the "data.js" file and are being shown in MongoDB Atlas but when I try to authenticate using the Advanced REST client (ARC) I'm getting the following error:
...ANSWER
Answered 2022-Mar-30 at 08:24You have a miss spell there: req.body.paswword, user.password
.
By the way, you need to hash the password you received in the same way they are saved in database.
So you should do something like that:
QUESTION
I am trying to scrape this website for the data in the table: https://investor.vanguard.com/etf/profile/overview/ESGV/portfolio-holdings
I have inspected the website and found that the data came from a JSON table through an external link. This is my code trying to target that link through headers and payloads:
...ANSWER
Answered 2022-Mar-26 at 12:28It seems their endpoint requires the Referer
header to be set to https://investor.vanguard.com/
.
Try this:
QUESTION
I want to scrape the URLs of all the items in the table but when I try, nothing comes up. The code is quite basic so I can see why it might not work. However, even trying to scrape the title of this website, nothing comes up. I at least expected the h1 tag as it's outside the table...
Website: https://www.vanguard.com.au/personal/products/en/overview
...ANSWER
Answered 2022-Mar-10 at 04:06If the problem is caused by the JavaScript eventlistener, I would suggest you use beautifulsoup
along with selenium
to scrape this website. So, let's apply selenium at sending request and get back page source and then use beautifulsoup
to parse it.
In addition, you should use title = soup.find()
instead of title = soup.findall()
in order to get only one title.
The example of code using Firefox:
QUESTION
as a part of a course I'm taking, I need to calculate the monthly cumulative sums of rocket launches and calculate month-to-month rolling averages, and finally show both results on a plot.
The dataframe contains Date
, Launch site
, Mission status
and some other less important parameters. Date is formatted as YYYY-MM-DD, and the number of items per different year-month combinations varies.
The input data looks like this:
...ANSWER
Answered 2022-Feb-27 at 13:49I do not know if I understand your actual question, I am not a fan of debating about elegant vs inelegant solutions. If they work, they are good. If another solution is better depends on the way you compare different solutions to the same problem, e.g. requires less time, or less memory, or less lines of code, etc.
Coming back to your question, there is a difference between the rolling average and the resampling sum. The rolling average is a method to smooth your data in order to give the correct trend, see https://en.wikipedia.org/wiki/Moving_average. In contrast, the resample and sum method is a data aggregation on binned data, basically a histogram https://en.wikipedia.org/wiki/Histogram.
So if the question is about which month has the largest number of launches, you need to calculate the histogram and find the maximum.
The rolling average part in your exercise is not well defined, because it does not give a window size or at least gives more information why you should smooth the data. It should certainly be more than 30 days, because there are months with more than 30 days. I guess they mean something like a year (12 months) window, but this is pure speculation.
Edit: I think they mean something like this:
QUESTION
I'm trying to automate downloading the holdings of Vanguard funds from the web. The links resolve through JavaScript so I'm using Pyppeteer but I'm not getting the file. Note, the link says CSV but it provides an Excel file.
From my browser it works like this:
- Go to the fund URL, eg https://www.vanguard.com.au/personal/products/en/detail/8225/portfolio
- Follow the link, "See count total holdings"
- Click the link, "Export to CSV"
My attempt to replicate this in Python follows. The first link follow seems to work because I get different HTML but the second click gives me the same page, not a download.
...ANSWER
Answered 2021-Nov-13 at 21:47First of all, page.waitFor(2000)
should be the last resort. That's a race condition that can lead to a false negative at worst and slows your scrape down at best. I recommend page.waitForXPath
which spawns a tight polling loop to continue your code as soon as the xpath becomes available.
Also on the topic of element selection, I'd use text()
in your xpath instead of .
which is more precise.
I'm not sure how ef.write(await page.content())
is working for you -- that should only give page HTML, not the XLSX download. The link click triggers downloads via a dialog. Accepting this download involves enabling Chrome downloads with
QUESTION
I have a problem with my footer. My footer is centered and doesn't take all the bottom page length. here's the result I'd like to get : The result expected. It needs to take all the bottom length.
here's my codepen to see the problem : https://codepen.io/Softee/pen/RwLaJye
Here's my code :
...ANSWER
Answered 2021-Dec-11 at 14:43Some closing tags are missing in your html. For example, article is not closed. This is the reason why your footer inherits the width. As soon as you close it "before the footer" you will notice it. Also the div container with the class flex-container. Or the div with the id actualite will not be closed. Check this and it should work.
QUESTION
ANSWER
Answered 2021-Dec-03 at 23:32Here is a flexbox sample of your code and need some change, good luck.
QUESTION
I am scraping data on mutual funds from the vanguard website and my code is giving me some inconsistencies in my data between runs. How can I make my scraping code more robust to avoid these?
I am scraping data from this page and trying to get the average duration in the characteristic table.
Sometimes all the tickers will go through with no problem and other times it will miss some of the data on the page. I assume this has to do with the scraping happening before the data fully loads but it only happens sometimes.
Here is the output for 2 back-to-back runs showing it successfully scraping a ticker and then missing the data on the following run.
...ANSWER
Answered 2021-Sep-30 at 15:15Try EC.visibility_of_element_located
instead of EC.presence_of_element_located
, if that doesn't work try adding a time.sleep()
for 1-2 seconds after the WebDriverWait
statement.
QUESTION
I have tried looking at a couple of questions on this site with this problem but I can't get their solutions working. I am using python and selenium with a chrome headless browser to scrape bond data from vanguard. Vanguard loads the data on the page on a delay and I can't figure out how to get the data in properly.
I am trying to load data from this webpage, specifically the data from the fund facts table
When I tried doing this as I typically do I get
...ANSWER
Answered 2021-Sep-24 at 16:03I used the XPath of the Fund facts table in the WebDriverWait statement to get it working.
Code snippet:-
QUESTION
I'm saving the daily stock price for several stocks in a Pandas Dataframe. I'm using python and Jupyter notebook.
Once saved, I'm using matplotlib to graph the prices to check the data.
The idea is to graph 9 stocks at at time in a 3 x 3 subplot.
When I want to check other stock tickers I have to mannualy change each ticker in each subplot, which takes a long time and seems inefficient.
¿Is there a way to do this with some sort of list and for loop?
Here is my current code. It works but it seems to long and hard to update. (Stock tickers are only examples from a vanguard model portfolio).
...ANSWER
Answered 2021-Jun-26 at 02:30Try with DataFrame.plot
and enable subplots
, set the layout
and figsize
:
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