在 jupyter notebook 中加载数据集答案

【问题标题】：Loading the dataset in jupyter notebook在 jupyter notebook 中加载数据集
【发布时间】：2019-03-15 19:55:02
【问题描述】：

我正在尝试在 jupyter notebook 中下载和加载数据集，但遇到问题，代码如下：

import os
import tarfile
from six.moves import urllib

DOWNLOAD_ROOT = "https://raw.githubusercontent.com/ageron/handson-ml/master/"
HOUSING_PATH = os.path.join("datasets", "housing")
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()

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

housing = load_housing_data()
housing.head()

运行上面的代码后我得到了这个错误：

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
<ipython-input-5-6a9011700846> in <module>
----> 1 housing = load_housing_data()
      2 housing.head()

<ipython-input-4-4d0bff7b3608> in load_housing_data(housing_path)
      2 def load_housing_data(housing_path=HOUSING_PATH):
      3     csv_path = os.path.join(housing_path, "housing.csv")
----> 4     return pd.read_csv(csv_path)

~/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, doublequote, delim_whitespace, low_memory, memory_map, float_precision)
    676                     skip_blank_lines=skip_blank_lines)
    677 
--> 678         return _read(filepath_or_buffer, kwds)
    679 
    680     parser_f.__name__ = name

~/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
    438 
    439     # Create the parser.
--> 440     parser = TextFileReader(filepath_or_buffer, **kwds)
    441 
    442     if chunksize or iterator:

~/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds)
    785             self.options['has_index_names'] = kwds['has_index_names']
    786 
--> 787         self._make_engine(self.engine)
    788 
    789     def close(self):

~/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in _make_engine(self, engine)
   1012     def _make_engine(self, engine='c'):
   1013         if engine == 'c':
-> 1014             self._engine = CParserWrapper(self.f, **self.options)
   1015         else:
   1016             if engine == 'python':

~/anaconda3/lib/python3.7/site-packages/pandas/io/parsers.py in __init__(self, src, **kwds)
   1706         kwds['usecols'] = self.usecols
   1707 
-> 1708         self._reader = parsers.TextReader(src, **kwds)
   1709 
   1710         passed_names = self.names is None

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()

FileNotFoundError: File b'datasets/housing/housing.csv' does not exist

我尝试手动下载数据并将 .CSV 文件添加到同一文件夹中，使用以下代码可以正常工作：

import pandas as pd
import numpy as np

pd.read_csv('housing.csv', delimiter = ',')

我的问题是第一次编码有什么问题？如果有人能解释一下，我将不胜感激。顺便说一句，我使用的是 Mac 10.14。

注意：该编码是《Hands on Machine Learning with Scikit Learn and Tensorflow》一书中的一个示例

【问题讨论】：

如果你运行os.listdir()，你能看到datasets文件夹吗？
欢迎来到 Stack Overflow！你能在你的帖子中用纯文本写出你的代码吗？如果您在运行某些代码时遇到问题，我们通常喜欢尝试自己运行相同的代码，看看是否存在明显的问题。还请尝试明确说明出了什么问题，以及您期望的行为。查看guidelines for how to ask good questions on Stack Overflow。快乐的小径！
请将代码作为文本而不是链接到图片。
@mkrieger1 抱歉，我将代码添加为文本。
@JordanSinger 感谢您的建议和抱歉，我将代码添加为文本。

标签： python machine-learning dataset jupyter-notebook

【解决方案1】：

def fetch_housing_data() 没有被调用，所以没有目录或下载的文件。你需要在def load_housing_data的正文中调用fetch_housing_data()

像这样：

def load_housing_data(housing_path=HOUSING_PATH):
    # missing function call to fetch the data
    fetch_housing_data()
    csv_path = os.path.join(housing_path, "housing.csv")
    return pd.read_csv(csv_path)

【讨论】：

【解决方案2】：

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn import linear_model


# In[4]:


df = pd.read_csv(r"C:\Users\nandika\Desktop\homeprices.csv") # the r is required

【讨论】：

请在您的回答中添加一些解释