[Python] #Python importing data --Alex the analyst project

Discussão em 'Python' iniciado por Stack, Julho 23, 2025.

  1. Stack

    Stack Membro Participativo

    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.

    Continue reading...

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