nhl | NHL standings the way | Video Game library

I'm trying to import NHL data from https://www.espn.com/nhl/stats/player/_/view/skating/table/offensive/sort/goals/dir/desc

The problem is that I can't import the 733 rows because of a "Show more" which make a little import of 51 rows. I'd like to import all 733 rows.

Here's the code that I put in a cell of my google sheet:

I'm trying to scrape the data from the top table on this page ("2021-2022 Regular Season Player Stats") using Python and BeautifulSoup. The page shows stats for 100 NHL players, 1 player per row. The code below works, but the problem is it only pulls the first ten rows into the dataframe. This is because the every ten rows is in a separate , so it is only iterating through the rows in the first . How can I get it to continue through the rest of the elements on the page?

Another question: this table has about 1000 rows total, and only shows up to 100 per page. Is there a way to rewrite the code below to iterate through the entire table at once instead of just the 100 rows that show on the page?

I am trying to create a program to generate a complete random build in the NHL video games. Essentially you get an archetype and from that archetype you get certain abilities and such and i am trying to get the first part to run to just pick an archetype and a build. I also need to implement a way to do height, weight, and boosts as well, but I am unable to get the program to choose an ability based on whichever archetype that is chosen. This is the code I have so far and i know it is a lot and i dont know if this is the easiest way to do something like this because i have to make more if/elif loops for other areas of the build unless there is an easier more efficient way:

I am very new to python, just trying to analyze some websites.

I am trying to pull the table from this website:

https://www.espn.com/nhl/stats/player

I tried to use the below code. It worked, but it does not capture the data after the show more button in the website. Is there a way I can do that? I did see some documentation on selenium, but I do not quite understand how to use it in this application.

I am currently using this procedure which basically changes the capitalisation for all cells to Proper in a column and it works fine.

VBA Code:

I am very new to python and trying to do my own data analysis.

I am trying to parse data from this website: https://www.tsn.ca/nhl/statistics

I wanted to get the table in a data frame format.

I tried this:

import pandas as pd

players_list_unclean = pd.read_html('https://www.sportsnet.ca/hockey/nhl/players/?season=2021&?seasonType=reg&tab=Skaters')

I get the following error:

raise ValueError("No tables found") ValueError: No tables found

I can see there is table, but for some reason it is not being read.

I found another stack overflow solution recommending using selenium:

pandas read_html ValueError: No tables found

However, when I tried to implement this code I could not find the table ID in the html page source. Does anyone know another way to do this? I have tried other websites, but I ultimately have the same issue.

I need help!

I'm using the nhlapi package to scrape some boxscores. What I get either from the package or using fromJSON function is a large nested list.

I have tried everything to convert this into a data frame. I believe the issue is that when this is reshaped it introduces many NA values. I've gotten the error below several times. I'm totally stuck here.

I do not know how to replicate the problem in my own sample code, so sharing the function being used below. Thanks!

Error in (function (..., row.names = NULL, check.rows = FALSE, check.names = TRUE, : arguments imply differing number of rows: 1, 0

Bit confused on how I would index a list I have based on the primary key in the HTML template? Here is my views page:

I'm unsure if the title terminology makes much sense. But I have a pretty loose grasp on the URL dispatcher and if what I'm really asking here is in regards to the dispatcher or not really.

Here is my views file: