无法重现《Hands-On Machine Learning》Housing数据集的问题求助

Hey there! Let's get that Housing dataset loaded properly—your error stems from two easy-to-fix issues:

1. You Haven't Fetched the Data Yet #

Your load_housing_data() function is looking for housing.csv, but you never ran the fetch_housing_data() function that downloads and extracts this file from the GitHub repo. That's why the file doesn't exist in your target directory!

2. Your HOUSING_URL Is Invalid #

You accidentally appended your local file path to the GitHub download root, creating a broken web address. The correct URL points directly to the housing.tgz file stored in the book's dataset folder, not your local system.

Step-by-Step Fix #

First, correct the download URL, then run the fetch function before attempting to load the data:

Corrected Full Code

import os
import tarfile
from six.moves import urllib
import pandas as pd

# Fix the download URL to point to the correct dataset location
DOWNLOAD_ROOT = "https://raw.githubusercontent.com/ageron/handson-ml/master/"
HOUSING_PATH = "/home/isaac/Fundamentals of Data Science Certificate/3253 - Machine Learning/Code from book"
# This is the valid path to the housing.tgz in the GitHub repo
HOUSING_URL = DOWNLOAD_ROOT + "datasets/housing/housing.tgz"

def fetch_housing_data(housing_url=HOUSING_URL, housing_path=HOUSING_PATH):
    if not os.path.isdir(housing_path):
        os.makedirs(housing_path)
    tgz_path = os.path.join(housing_path, "housing.tgz")
    urllib.request.urlretrieve(housing_url, tgz_path)
    housing_tgz = tarfile.open(tgz_path)
    housing_tgz.extractall(path=housing_path)
    housing_tgz.close()

def load_housing_data(housing_path=HOUSING_PATH):
    csv_path = os.path.join(housing_path, "housing.csv")
    return pd.read_csv(csv_path)

# First: Download and extract the dataset (this creates housing.csv)
fetch_housing_data()

# Now: Load the dataset
housing = load_housing_data()
housing.head()

Quick Additional Checks #

• Verify your HOUSING_PATH has write permissions—if you hit a permissions error, switch to a simpler path like "./housing_data" (a folder in your current working directory) to avoid issues with spaces or special characters.
• After running fetch_housing_data(), check your target folder—you should see both housing.tgz (the downloaded archive) and housing.csv (the extracted data file).

内容的提问来源于stack exchange，提问作者Isaac A