即使文件存在，文件 b'train.csv' 也不存在

Question

Code:

import pandas as pd
train_df = pd.read_csv("train.csv")

Error:

FileNotFoundError                   Traceback (most recent call last)
    <ipython-input-17-05c7c432b69f> in <module>()
      1 import pandas as pd
      2 
    ----> 3 train_df = pd.read_csv("../input/train.csv")

    /anaconda3/lib/python3.6/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, skip_footer, doublequote, delim_whitespace, as_recarray, compact_ints, use_unsigned, low_memory, buffer_lines, memory_map, float_precision)
    707                     skip_blank_lines=skip_blank_lines)
    708 
    --> 709         return _read(filepath_or_buffer, kwds)
    710 
    711     parser_f.__name__ = name

    /anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
    447 
    448     # Create the parser.
    --> 449     parser = TextFileReader(filepath_or_buffer, **kwds)
    450 
    451     if chunksize or iterator:

    /anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds)
    816             self.options['has_index_names'] = kwds['has_index_names']
    817 
    --> 818         self._make_engine(self.engine)
    819 
    820     def close(self):

    /anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in _make_engine(self, engine)
    1047     def _make_engine(self, engine='c'):
    1048         if engine == 'c':
    -> 1049             self._engine = CParserWrapper(self.f, **self.options)
    1050         else:
    1051             if engine == 'python':

    /anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in __init__(self, src, **kwds)
    1693         kwds['allow_leading_cols'] = self.index_col is not False
    1694 
    -> 1695         self._reader = parsers.TextReader(src, **kwds)
    1696 
    1697         # XXX

    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'../input/train.csv' does not exist

Please help! I tried using pd.read_csv("../input/train.csv") but there is still an error. I am a Mac user using Jupyter notebook.

Answer 1

1. Are you sure you have the correct path?

train_df = pd.read_csv("./input/train.csv") (if the csv file is in the input folder which is in the same folder as your jupyter notebook)

Easiest would be you have a folder which contains the juptyer notebook and the csv file. Then you would just need to do:

train_df = pd.read_csv("./train.csv") or train_df = pd.read_csv("train.csv")

2. Try using train_df = pd.read_csv("train.csv",encoding='utf-8' )

to get rid of the 'b in front of b'../input/train.csv'

Answer 2

Try using an absolute path like this. The r at the beginning of the line helps to read the whole string as a raw string as it is, so when r is used, you don't have to worry about escaping slashes

import pandas

myFile = pandas.read_csv(r"C:\Users\samarnat\Documents\Personal Docs\Projects\train.csv",encoding='utf-8')

Answer 3

Possible Reasons:

1. Path entered is incorrect or multiple folders of same name.
2. The name of the file is incorrect.
3. The file extension is not csv , it maybe xlsx (Rare chance)

Hope this helps.

Answer 4

尝试给出文件的绝对路径而不是相对路径。

Answer 5

I found, if you are using a new version of Excel extension, you will face the problem. First of all save the file eg.

1. save as fileName = test

2. below name section select

   • CSV UTF-8 (Comma Delimited )(*.csv)

now use Jupyter

import pandas as pd
test = pd.read_csv("test.csv")

Answer 6

检查文件字符串开头或结尾的 空格 字符。

Answer 7

I faced exact problem yesterday, following points helped me to resolve the problem

1. No combination filePath was working out for me.
2. I manually added full path to file and it worked for me.

So now I have added single line of code to my code and it works all the time regardless of folder structure. Providing absolute path of file is the key .

csv_file_abs = os.path.abspath(csv_file)
print(f'ABS PATH: {csv_file_abs}')
df = pd.read_csv(csv_file_abs)

I hope this will help, please share your thoughts if this problem can be solved in other ways, this was quick-fix.

Answer 8

find out the directory you're working with using !pwd. Then upload the dataset in the same place. Then copy and paste the path of the directory in pd.read_csv command

    > df=pd.read_csv('/home/jovyan/demo/melb_data.csv')

what you're missing in the address is probably the jovyan term

Answer 9

if your text or csv file is in same folder where your jupyter notebook then instead of writing pd.read_csv('test.csv') write as pd.read_csv("test") bcz if your csv file explicitly shows .csv extension then only first way work or else second way. for example if your file name looks like "test" then use pd.read_csv('test') or else filename is "test.csv" then use pd.read_csv('test.csv') It depend on saving name of file.