Well, then I guess I'll worry about it if it becomes an issue.
lol. Yes, this makes sense.
This is both encouraging and scary. Not getting stuff right just intensifies my imposter syndrome when it comes to programming. But I understand what you mean. Just have to keep trying things and learn from my mistakes.
Thanks, this is really helpful advice.
AI can be ethically used in writing. This is not an example of that. People need to get into the "AI as a tool" mindset. And capitalism causing greed is part of the issue of course.
If this is for a job interview, I’d err on the side of verbosity. Break it all into distinct, easy to read steps: load, process, output, logging, exception handling, comments, etc.
I turned it in days ago so there's nothing I can do about it. But I'll keep that in mind for the future.
Thanks, I set inplace=False like you suggested. I thought setting it to true meant that it modified the original dataframe. Why does it work with false?
from bs4 import BeautifulSoup
import requests
import pandas as pd
import numpy as np
def createDataframe(url): #Make the data easier to handle
#Get the page's html data using BeautifulSoup
page = requests.get(url)
soup = BeautifulSoup(page.text, 'html.parser')
#Extract the table's headers and column structure
table_headers = soup.find('tr', class_='c8')
table_headers_titles = table_headers.find_all('td')
headers = [header.text for header in table_headers_titles]
#Extract the table's row data
rows = soup.find_all('tr', class_='c4')
row_data_outer = [row.find_all('td') for row in rows]
row_data = [[cell.text.strip() for cell in row] for row in row_data_outer]
#Create a dataframe using the extracted data
df = pd.DataFrame(row_data, columns=headers)
return df
def printMessage(dataframe): #Print the message gotten from the organised data
#Drop rows that have missing coordinates
dataframe = dataframe.dropna(subset=['x-coordinate', 'y-coordinate'], inplace=True)
#Convert the coordinate columns to integers so they can be used
dataframe['x-coordinate'] = dataframe['x-coordinate'].astype(int)
dataframe['y-coordinate'] = dataframe['y-coordinate'].astype(int)
#Determine how large the grid to be printed is
max_x = int(dataframe['x-coordinate'].max())
max_y = int(dataframe['y-coordinate'].max())
#Create an empty grid
grid = np.full((max_y + 1, max_x + 1), " ")
#Fill the grid with the characters using coordinates as the indices
for _, row in dataframe.iterrows():
x = row['x-coordinate']
y = row['y-coordinate']
char = row['Character']
grid[y][x] = char
for row in grid:
print("".join(row))
test = 'https://docs.google.com/document/d/e/2PACX-1vQGUck9HIFCyezsrBSnmENk5ieJuYwpt7YHYEzeNJkIb9OSDdx-ov2nRNReKQyey-cwJOoEKUhLmN9z/pub'
printMessage(createDataframe(test))
My most recent error:
C:\Users\User\PycharmProjects\dataAnnotationCodingQuestion\.venv\Scripts\python.exe C:\Users\User\PycharmProjects\dataAnnotationCodingQuestion\.venv\app.py
Traceback (most recent call last):
File "C:\Users\User\PycharmProjects\dataAnnotationCodingQuestion\.venv\app.py", line 50, in <module>
printMessage(createDataframe(test))
File "C:\Users\User\PycharmProjects\dataAnnotationCodingQuestion\.venv\app.py", line 30, in printMessage
dataframe['x-coordinate'] = dataframe['x-coordinate'].astype(int)
~~~~~~~~~^^^^^^^^^^^^^^^^
TypeError: 'NoneType' object is not subscriptable
Process finished with exit code 1
I honestly never realised the terminology was that important (so I never put much effort into remembering any of it). Yes I meant logging. I'm having trouble understanding the rest of what you mean though.
Sounds like they're still very relevant and very important. Python isn't a language I've used a lot but I'm still surprised I've never heard about docstrings till this tutorial. Thanks for the info.
I don't fully understand the technical aspects, but I get the gist of what you're saying. Overcomplicating code is something I'm sometimes guilty of. I will try to make the code as "flexible" as possible to allow for changes later down the line if needed. Also, I've never done anything in Lua besides making stuff in Roblox Studio 😅. You really know your stuff hus?