python - Web scraping (getting error while using jupyter) -

this first time working python , related packages , tools.so trying follow examples given in this lecture here code

    import pandas pd  # pass in column names each csv u_cols = ['user_id', 'age', 'sex', 'occupation', 'zip_code']  users = pd.read_csv(     'http://files.grouplens.org/datasets/movielens/ml-100k/u.user',      sep='|', names=u_cols)  users.head() 

i errors while executing code using jupyter

urlerrortraceback (most recent call last) <ipython-input-4-cd2489d7386f> in <module>()       6 users = pd.read_csv(       7     'http://files.grouplens.org/datasets/movielens/ml-100k/u.user', ----> 8     sep='|', names=u_cols)       9       10 users.head()  /opt/conda/envs/python2/lib/python2.7/site-packages/pandas/io/parsers.pyc 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, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skip_footer, doublequote, delim_whitespace, as_recarray, compact_ints, use_unsigned, low_memory, buffer_lines, memory_map, float_precision)     560                     skip_blank_lines=skip_blank_lines)     561  --> 562         return _read(filepath_or_buffer, kwds)     563      564     parser_f.__name__ = name  /opt/conda/envs/python2/lib/python2.7/site-packages/pandas/io/parsers.pyc in _read(filepath_or_buffer, kwds)     299     filepath_or_buffer, _, compression = get_filepath_or_buffer(     300         filepath_or_buffer, encoding, --> 301         compression=kwds.get('compression', none))     302     kwds['compression'] = (inferred_compression if compression == 'infer'     303                            else compression)  /opt/conda/envs/python2/lib/python2.7/site-packages/pandas/io/common.pyc in get_filepath_or_buffer(filepath_or_buffer, encoding, compression)     306      307     if _is_url(filepath_or_buffer): --> 308         req = _urlopen(str(filepath_or_buffer))     309         if compression == 'infer':     310             content_encoding = req.headers.get('content-encoding', none)  /opt/conda/envs/python2/lib/python2.7/urllib2.pyc in urlopen(url, data, timeout, cafile, capath, cadefault, context)     152     else:     153         opener = _opener --> 154     return opener.open(url, data, timeout)     155      156 def install_opener(opener):  /opt/conda/envs/python2/lib/python2.7/urllib2.pyc in open(self, fullurl, data, timeout)     427             req = meth(req)     428  --> 429         response = self._open(req, data)     430      431         # post-process response  /opt/conda/envs/python2/lib/python2.7/urllib2.pyc in _open(self, req, data)     445         protocol = req.get_type()     446         result = self._call_chain(self.handle_open, protocol, protocol + --> 447                                   '_open', req)     448         if result:     449             return result  /opt/conda/envs/python2/lib/python2.7/urllib2.pyc in _call_chain(self, chain, kind, meth_name, *args)     405             func = getattr(handler, meth_name)     406  --> 407             result = func(*args)     408             if result not none:     409                 return result  /opt/conda/envs/python2/lib/python2.7/urllib2.pyc in http_open(self, req)    1226     1227     def http_open(self, req): -> 1228         return self.do_open(httplib.httpconnection, req)    1229     1230     http_request = abstracthttphandler.do_request_  /opt/conda/envs/python2/lib/python2.7/urllib2.pyc in do_open(self, http_class, req, **http_conn_args)    1196         except socket.error, err: # xxx error?    1197             h.close() -> 1198             raise urlerror(err)    1199         else:    1200             try:  urlerror: <urlopen error [errno -2] name or service not known> 

according lecture result should like this.

looks network issue (check internet connection). code worked fine me:

>>> users.head()    user_id  age sex  occupation zip_code 0        1   24   m  technician    85711 1        2   53   f       other    94043 2        3   23   m      writer    32067 3        4   24   m  technician    43537 4        5   33   f       other    15213 

try open url in browser check whether can loaded machine (http://files.grouplens.org/datasets/movielens/ml-100k/u.user).