5050 },
5151 {
5252 "cell_type": "code",
53- "execution_count": 5 ,
53+ "execution_count": 1 ,
5454 "metadata": {},
5555 "outputs": [],
5656 "source": [
8181 },
8282 {
8383 "cell_type": "code",
84- "execution_count": 6 ,
84+ "execution_count": 2 ,
8585 "metadata": {},
8686 "outputs": [],
8787 "source": [
9090 },
9191 {
9292 "cell_type": "code",
93- "execution_count": 9 ,
93+ "execution_count": 3 ,
9494 "metadata": {},
9595 "outputs": [
9696 {
97- "data": {
98- "text/html": [
99- "<div>\n",
100- "<style scoped>\n",
101- " .dataframe tbody tr th:only-of-type {\n",
102- " vertical-align: middle;\n",
103- " }\n",
104- "\n",
105- " .dataframe tbody tr th {\n",
106- " vertical-align: top;\n",
107- " }\n",
108- "\n",
109- " .dataframe thead th {\n",
110- " text-align: right;\n",
111- " }\n",
112- "</style>\n",
113- "<table border=\"1\" class=\"dataframe\">\n",
114- " <thead>\n",
115- " <tr style=\"text-align: right;\">\n",
116- " <th></th>\n",
117- " <th>review</th>\n",
118- " <th>sentiment</th>\n",
119- " </tr>\n",
120- " </thead>\n",
121- " <tbody>\n",
122- " <tr>\n",
123- " <th>0</th>\n",
124- " <td>One of the other reviewers has mentioned that ...</td>\n",
125- " <td>positive</td>\n",
126- " </tr>\n",
127- " <tr>\n",
128- " <th>1</th>\n",
129- " <td>A wonderful little production. <br /><br />The...</td>\n",
130- " <td>positive</td>\n",
131- " </tr>\n",
132- " <tr>\n",
133- " <th>2</th>\n",
134- " <td>I thought this was a wonderful way to spend ti...</td>\n",
135- " <td>positive</td>\n",
136- " </tr>\n",
137- " <tr>\n",
138- " <th>3</th>\n",
139- " <td>Basically there's a family where a little boy ...</td>\n",
140- " <td>negative</td>\n",
141- " </tr>\n",
142- " <tr>\n",
143- " <th>4</th>\n",
144- " <td>Petter Mattei's \"Love in the Time of Money\" is...</td>\n",
145- " <td>positive</td>\n",
146- " </tr>\n",
147- " <tr>\n",
148- " <th>5</th>\n",
149- " <td>Probably my all-time favorite movie, a story o...</td>\n",
150- " <td>positive</td>\n",
151- " </tr>\n",
152- " <tr>\n",
153- " <th>6</th>\n",
154- " <td>I sure would like to see a resurrection of a u...</td>\n",
155- " <td>positive</td>\n",
156- " </tr>\n",
157- " <tr>\n",
158- " <th>7</th>\n",
159- " <td>This show was an amazing, fresh & innovative i...</td>\n",
160- " <td>negative</td>\n",
161- " </tr>\n",
162- " <tr>\n",
163- " <th>8</th>\n",
164- " <td>Encouraged by the positive comments about this...</td>\n",
165- " <td>negative</td>\n",
166- " </tr>\n",
167- " <tr>\n",
168- " <th>9</th>\n",
169- " <td>If you like original gut wrenching laughter yo...</td>\n",
170- " <td>positive</td>\n",
171- " </tr>\n",
172- " </tbody>\n",
173- "</table>\n",
174- "</div>"
175- ],
176- "text/plain": [
177- " review sentiment\n",
178- "0 One of the other reviewers has mentioned that ... positive\n",
179- "1 A wonderful little production. <br /><br />The... positive\n",
180- "2 I thought this was a wonderful way to spend ti... positive\n",
181- "3 Basically there's a family where a little boy ... negative\n",
182- "4 Petter Mattei's \"Love in the Time of Money\" is... positive\n",
183- "5 Probably my all-time favorite movie, a story o... positive\n",
184- "6 I sure would like to see a resurrection of a u... positive\n",
185- "7 This show was an amazing, fresh & innovative i... negative\n",
186- "8 Encouraged by the positive comments about this... negative\n",
187- "9 If you like original gut wrenching laughter yo... positive"
188- ]
189- },
190- "execution_count": 9,
191- "metadata": {},
192- "output_type": "execute_result"
97+ "output_type": "error",
98+ "ename": "FileNotFoundError",
99+ "evalue": "[Errno 2] No such file or directory: 'C:\\\\Users\\\\bokhy\\\\Desktop\\\\Python\\\\github\\\\Python-Projects\\\\IMDB Dataset.csv'",
100+ "traceback": [
101+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
102+ "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
103+ "\u001b[1;32m<ipython-input-3-0e7fea6ff092>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mreview\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'IMDB Dataset.csv'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"python\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[0mreview\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
104+ "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36mparser_f\u001b[1;34m(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)\u001b[0m\n\u001b[0;32m 674\u001b[0m )\n\u001b[0;32m 675\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 676\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 677\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 678\u001b[0m \u001b[0mparser_f\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
105+ "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36m_read\u001b[1;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[0;32m 446\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 447\u001b[0m \u001b[1;31m# Create the parser.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 448\u001b[1;33m \u001b[0mparser\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mTextFileReader\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfp_or_buf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 449\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 450\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mchunksize\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0miterator\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
106+ "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[0;32m 878\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"has_index_names\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"has_index_names\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 879\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 880\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_make_engine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 881\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 882\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
107+ "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36m_make_engine\u001b[1;34m(self, engine)\u001b[0m\n\u001b[0;32m 1124\u001b[0m \u001b[1;34m'\"python-fwf\")'\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1125\u001b[0m )\n\u001b[1;32m-> 1126\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mklass\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1127\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1128\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_failover_to_python\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
108+ "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, f, **kwds)\u001b[0m\n\u001b[0;32m 2267\u001b[0m \u001b[0mencoding\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mencoding\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2268\u001b[0m \u001b[0mcompression\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcompression\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2269\u001b[1;33m \u001b[0mmemory_map\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmemory_map\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2270\u001b[0m )\n\u001b[0;32m 2271\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhandles\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhandles\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
109+ "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\io\\common.py\u001b[0m in \u001b[0;36mget_handle\u001b[1;34m(path_or_buf, mode, encoding, compression, memory_map, is_text)\u001b[0m\n\u001b[0;32m 456\u001b[0m \u001b[1;32melif\u001b[0m \u001b[0mis_text\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 457\u001b[0m \u001b[1;31m# No explicit encoding\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 458\u001b[1;33m \u001b[0mf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpath_or_buf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"replace\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnewline\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 459\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 460\u001b[0m \u001b[1;31m# Binary mode\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
110+ "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'C:\\\\Users\\\\bokhy\\\\Desktop\\\\Python\\\\github\\\\Python-Projects\\\\IMDB Dataset.csv'"
111+ ]
193112 }
194113 ],
195114 "source": [
19731892 "name": "python",
19741893 "nbconvert_exporter": "python",
19751894 "pygments_lexer": "ipython3",
1976- "version": "3.7.6"
1895+ "version": "3.7.6-final "
19771896 }
19781897 },
19791898 "nbformat": 4,
19801899 "nbformat_minor": 4
1981- }
1900+ }
0 commit comments