#Python importing data --Alex the analyst project

Question

I am working on Python /data analysis portfolio watching Alex the Analyst youtube video. (https://www.youtube.com/watch?v=ocdwh0KYeUs&list=PLUaB-1hjhk8H48Pj32z4GZgGWyylqv85f&index=5)

However the code he provided does not work whats so ever. I tried this code $ export XDG_RUNTIME_DIR=""(found at: Jupyter notebook permission error) but this did not work either.

import pandas as pd 
import numpy as np 
import seaborn as sns 
import matplotlib.pyplot as plt 
import matplotlib.mlab as mlab 
import matplotlib 
plt.style.use('ggplot') 
from matplotlib.pyplot import figure 
%matplotlib inline 
matplotlib.rcParams['figure.figsize'] = (12,8) 
pd.options.mode.chained_assignment = None 
df = pd.read_csv(r'C:\Users\enana\Downloads\movies.csv')

I am just trying to follow along while I do this project, so I don't really understand what is going on above. And I don't know what is happening when I return this code which is as follows:

PermissionError                           Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_18392/3202830863.py in <module>
     16 
     17 # Now we need to read in the data
---> 18 df = pd.read_csv(r'C:\Users\enana\Downloads\movies.csv')

~\anaconda3\lib\site-packages\pandas\util\_decorators.py in wrapper(*args, **kwargs)
    309                     stacklevel=stacklevel,
    310                 )
--> 311             return func(*args, **kwargs)
    312 
    313         return wrapper

~\anaconda3\lib\site-packages\pandas\io\parsers\readers.py in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
    584     kwds.update(kwds_defaults)
    585 
--> 586     return _read(filepath_or_buffer, kwds)
    587 
    588 

~\anaconda3\lib\site-packages\pandas\io\parsers\readers.py in _read(filepath_or_buffer, kwds)
    480 
    481     # Create the parser.
--> 482     parser = TextFileReader(filepath_or_buffer, **kwds)
    483 
    484     if chunksize or iterator:

~\anaconda3\lib\site-packages\pandas\io\parsers\readers.py in __init__(self, f, engine, **kwds)
    809             self.options["has_index_names"] = kwds["has_index_names"]
    810 
--> 811         self._engine = self._make_engine(self.engine)
    812 
    813     def close(self):

~\anaconda3\lib\site-packages\pandas\io\parsers\readers.py in _make_engine(self, engine)
   1038             )
   1039         # error: Too many arguments for "ParserBase"
-> 1040         return mapping[engine](self.f, **self.options)  # type: ignore[call-arg]
   1041 
   1042     def _failover_to_python(self):

~\anaconda3\lib\site-packages\pandas\io\parsers\c_parser_wrapper.py in __init__(self, src, **kwds)
     49 
     50         # open handles
---> 51         self._open_handles(src, kwds)
     52         assert self.handles is not None
     53 

~\anaconda3\lib\site-packages\pandas\io\parsers\base_parser.py in _open_handles(self, src, kwds)
    220         Let the readers open IOHandles after they are done with their potential raises.
    221         """
--> 222         self.handles = get_handle(
    223             src,
    224             "r",

~\anaconda3\lib\site-packages\pandas\io\common.py in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
    700         if ioargs.encoding and "b" not in ioargs.mode:
    701             # Encoding
--> 702             handle = open(
    703                 handle,
    704                 ioargs.mode,

PermissionError: [Errno 13] Permission denied: 'C:\\Users\\enana\\Downloads\\movies.csv'

Please help.

Answer 1

Please try the following: While dealing with such problem, we need to understand path we provided it should be with double "\".

df = pd.read_csv(r"C:\\Users\\enana\\Downloads\\movies.csv")

Your problem may get solved.