please how do i load my csv file save on the desktop into my jupyter notebook cause i tried it the same way i saw the tutor did and i got error message
Start your code here
data = pd.read_csv('1.01. Simple linear regression.csv')
Error message
--------------------------------------------------------------------------- FileNotFoundError Traceback (most recent call last) <ipython-input-8-0c537d0c5b39> in <module> ----> 1 data = pd.read_csv('1.01. Simple linear regression.csv') ~\Anaconda3\lib\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, 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, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision) 674 ) 675 --> 676 return _read(filepath_or_buffer, kwds) 677 678 parser_f.__name__ = name ~\Anaconda3\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds) 446 447 # Create the parser. --> 448 parser = TextFileReader(fp_or_buf, **kwds) 449 450 if chunksize or iterator: ~\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, f, engine, **kwds) 878 self.options["has_index_names"] = kwds["has_index_names"] 879 --> 880 self._make_engine(self.engine) 881 882 def close(self): ~\Anaconda3\lib\site-packages\pandas\io\parsers.py in _make_engine(self, engine) 1112 def _make_engine(self, engine="c"): 1113 if engine == "c": -> 1114 self._engine = CParserWrapper(self.f, **self.options) 1115 else: 1116 if engine == "python": ~\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, src, **kwds) 1889 kwds["usecols"] = self.usecols 1890 -> 1891 self._reader = parsers.TextReader(src, **kwds) 1892 self.unnamed_cols = self._reader.unnamed_cols 1893 pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader.__cinit__() pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source() FileNotFoundError: [Errno 2] File 1.01. Simple linear regression.csv does not exist: '1.01. Simple linear regression.csv'
Hi Oberewu,
Are you sure that the Jupyter notebook file and the dataset are in the same folder? Usually that’s the easiest way to approach the issue.
However, if you still have a problem with that, then you can use the absolute path of a file when loading the data.
Thus, you can write: data = pd.read_csv(‘ABSOLUTE_PATH/1.01. Simple linear regression.csv’)
To me this looks like: data = pd.read_csv(‘C:/Users/365/Desktop/Advanced_Statistical_Methods_(Machine_Learning)/1.01. Simple linear regression.csv’)
In your case, you can find that by opening the folder containing the files and copy-pasting the path.
Once you copy-paste this path, you should CHANGE ALL SLASHES from backward to forward.
This means that if your path is C:\Users\YOUR_COMPUTER_NAME\Desktop\… , you should make it look like: C:/Users/YOUR_COMPUTER_NAME/Desktop/…
Note that, due to the standards for referencing paths, in Python, instead of a backward slash ( \ ), you should use a forward slash ( / ).
…Just find the path of your file, and follow the directives given by the 365 Team, especially, remembering to change the backward slash (\) into forward slash(/), and it will be done…
