|
188 | 188 | "metadata": {}, |
189 | 189 | "outputs": [ |
190 | 190 | { |
191 | | - "ename": "TypeError", |
192 | | - "evalue": "findall() missing 1 required positional argument: 'string'", |
193 | | - "output_type": "error", |
194 | | - "traceback": [ |
195 | | - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", |
196 | | - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", |
197 | | - "\u001b[1;32m<ipython-input-5-d636d1f14eb0>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Find the numeric values in a string\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmatches\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mre\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfindall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'\\d*'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", |
198 | | - "\u001b[1;31mTypeError\u001b[0m: findall() missing 1 required positional argument: 'string'" |
| 191 | + "name": "stdout", |
| 192 | + "output_type": "stream", |
| 193 | + "text": [ |
| 194 | + "['10', '3']\n" |
199 | 195 | ] |
200 | 196 | } |
201 | 197 | ], |
202 | 198 | "source": [ |
203 | 199 | "# Find the numeric values in a string\n", |
204 | | - "matches = re.findall('\\d*')" |
| 200 | + "matches = re.findall('\\d+', 'The Recipe calls for 10 apples and 3 bananas') \n", |
| 201 | + "print(matches)" |
| 202 | + ] |
| 203 | + }, |
| 204 | + { |
| 205 | + "cell_type": "code", |
| 206 | + "execution_count": 6, |
| 207 | + "metadata": {}, |
| 208 | + "outputs": [ |
| 209 | + { |
| 210 | + "name": "stdout", |
| 211 | + "output_type": "stream", |
| 212 | + "text": [ |
| 213 | + "American\n" |
| 214 | + ] |
| 215 | + } |
| 216 | + ], |
| 217 | + "source": [ |
| 218 | + "# Find the capital letter, followed by any number of alphanumeric characters, for the word\n", |
| 219 | + "result = re.match(pattern='[A-Z]\\w*', string='American Eagle 1977')\n", |
| 220 | + "print(result.group())" |
| 221 | + ] |
| 222 | + }, |
| 223 | + { |
| 224 | + "cell_type": "markdown", |
| 225 | + "metadata": {}, |
| 226 | + "source": [ |
| 227 | + "## Using Functions to Clean Data\n", |
| 228 | + "\n", |
| 229 | + "**Complex Cleaning**\n", |
| 230 | + "* Cleaning step requires multiple steps\n", |
| 231 | + " * IE: Extract number from string\n", |
| 232 | + " * Perform transformation on extracted number\n", |
| 233 | + "* Python Functions can be used\n", |
| 234 | + "\n", |
| 235 | + "**Example 1**" |
205 | 236 | ] |
| 237 | + }, |
| 238 | + { |
| 239 | + "cell_type": "code", |
| 240 | + "execution_count": 7, |
| 241 | + "metadata": {}, |
| 242 | + "outputs": [], |
| 243 | + "source": [ |
| 244 | + "def calculate_tip_percentage_of_total_bill(row):\n", |
| 245 | + " tip_amount = row['tip']\n", |
| 246 | + " total_bill = row['total_bill']\n", |
| 247 | + " tip_percentage_of_total_bill = (tip_amount / total_bill) * 100\n", |
| 248 | + " return tip_percentage_of_total_bill" |
| 249 | + ] |
| 250 | + }, |
| 251 | + { |
| 252 | + "cell_type": "code", |
| 253 | + "execution_count": 8, |
| 254 | + "metadata": {}, |
| 255 | + "outputs": [ |
| 256 | + { |
| 257 | + "name": "stdout", |
| 258 | + "output_type": "stream", |
| 259 | + "text": [ |
| 260 | + " total_bill tip sex smoker day time size tip_percentage\n", |
| 261 | + "0 16.99 1.01 Female True Sun Dinner 2 5.944673\n", |
| 262 | + "1 10.34 1.66 Male True Sun Dinner 3 16.054159\n", |
| 263 | + "2 21.01 3.50 Male True Sun Dinner 3 16.658734\n", |
| 264 | + "3 23.68 3.31 Male True Sun Dinner 2 13.978041\n", |
| 265 | + "4 24.59 3.61 Female True Sun Dinner 4 14.680765\n" |
| 266 | + ] |
| 267 | + } |
| 268 | + ], |
| 269 | + "source": [ |
| 270 | + "# Note: By default .apply() will work column-wise as 'axis=0',\n", |
| 271 | + "# 'axis=1' specifies running it row-wise\n", |
| 272 | + "df['tip_percentage'] = df.apply(calculate_tip_percentage_of_total_bill,\n", |
| 273 | + " axis=1)\n", |
| 274 | + "print(df.head())" |
| 275 | + ] |
| 276 | + }, |
| 277 | + { |
| 278 | + "cell_type": "code", |
| 279 | + "execution_count": null, |
| 280 | + "metadata": {}, |
| 281 | + "outputs": [], |
| 282 | + "source": [] |
206 | 283 | } |
207 | 284 | ], |
208 | 285 | "metadata": { |
|
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