在 pycharm 中声明路径不起作用

Question

我正在使用Pycharm，我在一个名为协作过滤的文件夹中创建了项目。我在一个名为ml-latest-small的文件夹中有一些csv，我也将其放置在协作过滤文件夹中，该文件夹包含我正在使用的.py文件。

我收到以下错误：

Traceback (most recent call last):
  File "/Users/usernamehere/Desktop/Machine Learning/Lesson 5/CollaborativeFiltering/movies.py", line 32, in <module>
    cf = CollabFilterDataset.from_csv(path, 'ratings.csv', 'userId', 'movieId', 'rating')
  File "/Users/usernamehere/Desktop/Machine Learning/Lesson 5/CollaborativeFiltering/venv/lib/python3.6/site-packages/fastai/column_data.py", line 146, in from_csv
    df = pd.read_csv(os.path.join(path,csv))
  File "/Users/usernamehere/Desktop/Machine Learning/Lesson 5/CollaborativeFiltering/venv/lib/python3.6/site-packages/pandas/io/parsers.py", line 709, in parser_f
    return _read(filepath_or_buffer, kwds)
  File "/Users/usernamehere/Desktop/Machine Learning/Lesson 5/CollaborativeFiltering/venv/lib/python3.6/site-packages/pandas/io/parsers.py", line 449, in _read
    parser = TextFileReader(filepath_or_buffer, **kwds)
  File "/Users/usernamehere/Desktop/Machine Learning/Lesson 5/CollaborativeFiltering/venv/lib/python3.6/site-packages/pandas/io/parsers.py", line 818, in __init__
    self._make_engine(self.engine)
  File "/Users/usernamehere/Desktop/Machine Learning/Lesson 5/CollaborativeFiltering/venv/lib/python3.6/site-packages/pandas/io/parsers.py", line 1049, in _make_engine
    self._engine = CParserWrapper(self.f, **self.options)
  File "/Users/usernamehere/Desktop/Machine Learning/Lesson 5/CollaborativeFiltering/venv/lib/python3.6/site-packages/pandas/io/parsers.py", line 1695, in __init__
    self._reader = parsers.TextReader(src, **kwds)
  File "pandas/_libs/parsers.pyx", line 402, in pandas._libs.parsers.TextReader.__cinit__
  File "pandas/_libs/parsers.pyx", line 718, in pandas._libs.parsers.TextReader._setup_parser_source
FileNotFoundError: File b'/Users/usernamehere/Users/usernamehere/Desktop/Machine Learning/Lesson 5/ratings.csv' does not exist

我

不确定我声明路径的方式有什么问题。这是我的代码：

import torch
from fastai.learner import *
from fastai.column_data import *
path = '~/Users/usernamehere/Desktop/Machine Learning/Lesson 5'
ratings = pd.read_csv(path+'ratings.csv')
#print(ratings.head())
movies = pd.read_csv(path+'movies.csv')
#print(movies.head())
# Crete a subset for Excel
g = ratings.groupby('userId')['rating'].count()
topUsers = g.sort_values(ascending=False)[:15]
g = ratings.groupby('movieId')['rating'].count()
topMovies = g.sort_values(ascending=False)[:15]
top_r = ratings.join(topUsers, rsuffix='_r', how='inner', on='userId')
top_r = top_r.join(topMovies, rsuffix='_r', how='inner', on='movieId')
# pd.crosstab(top_r.userId, top_r.movieId, top_r.rating, aggfunc=np.sum)
# Collaborative Filtering - High Level
# Get a valisation indexes
val_idxs = get_cv_idxs(len(ratings))
wd = 2e-4
n_factors = 50
cf = CollabFilterDataset.from_csv(path, 'ratings.csv', 'userId', 'movieId', 'rating')

编辑：

将路径更改为path='ml-latest-small/'似乎有效。

Answer 1

由于您使用的是基于 *nix 的系统，因此我建议您使用 逃离空间。以下是Mac上的一个简单的测试，用于显示有转义和不转义的场景：

$ pwd
/tmp
$ mkdir "Machine Learning"
$ cd Machine Learning
-bash: cd: Machine: No such file or directory
$ cd Machine Learning
$ pwd
/tmp/Machine Learning

Answer 2

在这里，~表示$HOME(阅读这里(：

这就是为什么你最终得到： /Users//Users/usernamehere/Desktop/Machine Learning/Lesson 5/ratings.csv'不是有效路径。