|
13 | 13 | "* Bonus: Merge multiple files with Windows/Linux"
|
14 | 14 | ]
|
15 | 15 | },
|
| 16 | + { |
| 17 | + "cell_type": "code", |
| 18 | + "execution_count": 2, |
| 19 | + "metadata": {}, |
| 20 | + "outputs": [ |
| 21 | + { |
| 22 | + "data": { |
| 23 | + "text/plain": [ |
| 24 | + "['../../csv/data_202001.csv',\n", |
| 25 | + " '../../csv/data_202002.csv',\n", |
| 26 | + " '../../csv/data_201902.csv',\n", |
| 27 | + " '../../csv/data_201901.csv']" |
| 28 | + ] |
| 29 | + }, |
| 30 | + "metadata": {}, |
| 31 | + "output_type": "display_data" |
| 32 | + }, |
| 33 | + { |
| 34 | + "data": { |
| 35 | + "text/html": [ |
| 36 | + "<div>\n", |
| 37 | + "<style scoped>\n", |
| 38 | + " .dataframe tbody tr th:only-of-type {\n", |
| 39 | + " vertical-align: middle;\n", |
| 40 | + " }\n", |
| 41 | + "\n", |
| 42 | + " .dataframe tbody tr th {\n", |
| 43 | + " vertical-align: top;\n", |
| 44 | + " }\n", |
| 45 | + "\n", |
| 46 | + " .dataframe thead th {\n", |
| 47 | + " text-align: right;\n", |
| 48 | + " }\n", |
| 49 | + "</style>\n", |
| 50 | + "<table border=\"1\" class=\"dataframe\">\n", |
| 51 | + " <thead>\n", |
| 52 | + " <tr style=\"text-align: right;\">\n", |
| 53 | + " <th></th>\n", |
| 54 | + " <th>col1</th>\n", |
| 55 | + " <th>col2</th>\n", |
| 56 | + " <th>col3</th>\n", |
| 57 | + " <th>col4</th>\n", |
| 58 | + " </tr>\n", |
| 59 | + " </thead>\n", |
| 60 | + " <tbody>\n", |
| 61 | + " <tr>\n", |
| 62 | + " <th>0</th>\n", |
| 63 | + " <td>E</td>\n", |
| 64 | + " <td>F</td>\n", |
| 65 | + " <td>5</td>\n", |
| 66 | + " <td>e5</td>\n", |
| 67 | + " </tr>\n", |
| 68 | + " <tr>\n", |
| 69 | + " <th>1</th>\n", |
| 70 | + " <td>EE</td>\n", |
| 71 | + " <td>FF</td>\n", |
| 72 | + " <td>6</td>\n", |
| 73 | + " <td>ee6</td>\n", |
| 74 | + " </tr>\n", |
| 75 | + " </tbody>\n", |
| 76 | + "</table>\n", |
| 77 | + "</div>" |
| 78 | + ], |
| 79 | + "text/plain": [ |
| 80 | + " col1 col2 col3 col4\n", |
| 81 | + "0 E F 5 e5\n", |
| 82 | + "1 EE FF 6 ee6" |
| 83 | + ] |
| 84 | + }, |
| 85 | + "metadata": {}, |
| 86 | + "output_type": "display_data" |
| 87 | + }, |
| 88 | + { |
| 89 | + "data": { |
| 90 | + "text/html": [ |
| 91 | + "<div>\n", |
| 92 | + "<style scoped>\n", |
| 93 | + " .dataframe tbody tr th:only-of-type {\n", |
| 94 | + " vertical-align: middle;\n", |
| 95 | + " }\n", |
| 96 | + "\n", |
| 97 | + " .dataframe tbody tr th {\n", |
| 98 | + " vertical-align: top;\n", |
| 99 | + " }\n", |
| 100 | + "\n", |
| 101 | + " .dataframe thead th {\n", |
| 102 | + " text-align: right;\n", |
| 103 | + " }\n", |
| 104 | + "</style>\n", |
| 105 | + "<table border=\"1\" class=\"dataframe\">\n", |
| 106 | + " <thead>\n", |
| 107 | + " <tr style=\"text-align: right;\">\n", |
| 108 | + " <th></th>\n", |
| 109 | + " <th>col1</th>\n", |
| 110 | + " <th>col2</th>\n", |
| 111 | + " <th>col3</th>\n", |
| 112 | + " <th>col5</th>\n", |
| 113 | + " </tr>\n", |
| 114 | + " </thead>\n", |
| 115 | + " <tbody>\n", |
| 116 | + " <tr>\n", |
| 117 | + " <th>0</th>\n", |
| 118 | + " <td>H</td>\n", |
| 119 | + " <td>J</td>\n", |
| 120 | + " <td>7</td>\n", |
| 121 | + " <td>77</td>\n", |
| 122 | + " </tr>\n", |
| 123 | + " <tr>\n", |
| 124 | + " <th>1</th>\n", |
| 125 | + " <td>HH</td>\n", |
| 126 | + " <td>JJ</td>\n", |
| 127 | + " <td>8</td>\n", |
| 128 | + " <td>88</td>\n", |
| 129 | + " </tr>\n", |
| 130 | + " </tbody>\n", |
| 131 | + "</table>\n", |
| 132 | + "</div>" |
| 133 | + ], |
| 134 | + "text/plain": [ |
| 135 | + " col1 col2 col3 col5\n", |
| 136 | + "0 H J 7 77\n", |
| 137 | + "1 HH JJ 8 88" |
| 138 | + ] |
| 139 | + }, |
| 140 | + "metadata": {}, |
| 141 | + "output_type": "display_data" |
| 142 | + }, |
| 143 | + { |
| 144 | + "data": { |
| 145 | + "text/html": [ |
| 146 | + "<div>\n", |
| 147 | + "<style scoped>\n", |
| 148 | + " .dataframe tbody tr th:only-of-type {\n", |
| 149 | + " vertical-align: middle;\n", |
| 150 | + " }\n", |
| 151 | + "\n", |
| 152 | + " .dataframe tbody tr th {\n", |
| 153 | + " vertical-align: top;\n", |
| 154 | + " }\n", |
| 155 | + "\n", |
| 156 | + " .dataframe thead th {\n", |
| 157 | + " text-align: right;\n", |
| 158 | + " }\n", |
| 159 | + "</style>\n", |
| 160 | + "<table border=\"1\" class=\"dataframe\">\n", |
| 161 | + " <thead>\n", |
| 162 | + " <tr style=\"text-align: right;\">\n", |
| 163 | + " <th></th>\n", |
| 164 | + " <th>col1</th>\n", |
| 165 | + " <th>col2</th>\n", |
| 166 | + " <th>col3</th>\n", |
| 167 | + " </tr>\n", |
| 168 | + " </thead>\n", |
| 169 | + " <tbody>\n", |
| 170 | + " <tr>\n", |
| 171 | + " <th>0</th>\n", |
| 172 | + " <td>C</td>\n", |
| 173 | + " <td>D</td>\n", |
| 174 | + " <td>3</td>\n", |
| 175 | + " </tr>\n", |
| 176 | + " <tr>\n", |
| 177 | + " <th>1</th>\n", |
| 178 | + " <td>CC</td>\n", |
| 179 | + " <td>DD</td>\n", |
| 180 | + " <td>4</td>\n", |
| 181 | + " </tr>\n", |
| 182 | + " </tbody>\n", |
| 183 | + "</table>\n", |
| 184 | + "</div>" |
| 185 | + ], |
| 186 | + "text/plain": [ |
| 187 | + " col1 col2 col3\n", |
| 188 | + "0 C D 3\n", |
| 189 | + "1 CC DD 4" |
| 190 | + ] |
| 191 | + }, |
| 192 | + "metadata": {}, |
| 193 | + "output_type": "display_data" |
| 194 | + }, |
| 195 | + { |
| 196 | + "data": { |
| 197 | + "text/html": [ |
| 198 | + "<div>\n", |
| 199 | + "<style scoped>\n", |
| 200 | + " .dataframe tbody tr th:only-of-type {\n", |
| 201 | + " vertical-align: middle;\n", |
| 202 | + " }\n", |
| 203 | + "\n", |
| 204 | + " .dataframe tbody tr th {\n", |
| 205 | + " vertical-align: top;\n", |
| 206 | + " }\n", |
| 207 | + "\n", |
| 208 | + " .dataframe thead th {\n", |
| 209 | + " text-align: right;\n", |
| 210 | + " }\n", |
| 211 | + "</style>\n", |
| 212 | + "<table border=\"1\" class=\"dataframe\">\n", |
| 213 | + " <thead>\n", |
| 214 | + " <tr style=\"text-align: right;\">\n", |
| 215 | + " <th></th>\n", |
| 216 | + " <th>col1</th>\n", |
| 217 | + " <th>col2</th>\n", |
| 218 | + " <th>col3</th>\n", |
| 219 | + " </tr>\n", |
| 220 | + " </thead>\n", |
| 221 | + " <tbody>\n", |
| 222 | + " <tr>\n", |
| 223 | + " <th>0</th>\n", |
| 224 | + " <td>A</td>\n", |
| 225 | + " <td>B</td>\n", |
| 226 | + " <td>1</td>\n", |
| 227 | + " </tr>\n", |
| 228 | + " <tr>\n", |
| 229 | + " <th>1</th>\n", |
| 230 | + " <td>AA</td>\n", |
| 231 | + " <td>BB</td>\n", |
| 232 | + " <td>2</td>\n", |
| 233 | + " </tr>\n", |
| 234 | + " </tbody>\n", |
| 235 | + "</table>\n", |
| 236 | + "</div>" |
| 237 | + ], |
| 238 | + "text/plain": [ |
| 239 | + " col1 col2 col3\n", |
| 240 | + "0 A B 1\n", |
| 241 | + "1 AA BB 2" |
| 242 | + ] |
| 243 | + }, |
| 244 | + "metadata": {}, |
| 245 | + "output_type": "display_data" |
| 246 | + } |
| 247 | + ], |
| 248 | + "source": [ |
| 249 | + "all_files = glob.glob(os.path.join(path, \"data_*.csv\"))\n", |
| 250 | + "display(all_files)\n", |
| 251 | + "for f in all_files:\n", |
| 252 | + " display(pd.read_csv(f, sep=','))" |
| 253 | + ] |
| 254 | + }, |
16 | 255 | {
|
17 | 256 | "cell_type": "markdown",
|
18 | 257 | "metadata": {},
|
|
22 | 261 | },
|
23 | 262 | {
|
24 | 263 | "cell_type": "code",
|
25 |
| - "execution_count": 1, |
| 264 | + "execution_count": 3, |
26 | 265 | "metadata": {},
|
27 | 266 | "outputs": [],
|
28 | 267 | "source": [
|
29 | 268 | "import os, glob\n",
|
30 | 269 | "import pandas as pd\n",
|
31 | 270 | "\n",
|
32 | 271 | "path = \"../../csv/\"\n",
|
| 272 | + "#path = \"/home/user/data\"\n", |
33 | 273 | "\n",
|
34 | 274 | "all_files = glob.glob(os.path.join(path, \"data_2019*.csv\"))\n",
|
35 | 275 | "\n",
|
|
38 | 278 | "df_merged.to_csv( \"merged.csv\")"
|
39 | 279 | ]
|
40 | 280 | },
|
| 281 | + { |
| 282 | + "cell_type": "code", |
| 283 | + "execution_count": 4, |
| 284 | + "metadata": {}, |
| 285 | + "outputs": [ |
| 286 | + { |
| 287 | + "data": { |
| 288 | + "text/html": [ |
| 289 | + "<div>\n", |
| 290 | + "<style scoped>\n", |
| 291 | + " .dataframe tbody tr th:only-of-type {\n", |
| 292 | + " vertical-align: middle;\n", |
| 293 | + " }\n", |
| 294 | + "\n", |
| 295 | + " .dataframe tbody tr th {\n", |
| 296 | + " vertical-align: top;\n", |
| 297 | + " }\n", |
| 298 | + "\n", |
| 299 | + " .dataframe thead th {\n", |
| 300 | + " text-align: right;\n", |
| 301 | + " }\n", |
| 302 | + "</style>\n", |
| 303 | + "<table border=\"1\" class=\"dataframe\">\n", |
| 304 | + " <thead>\n", |
| 305 | + " <tr style=\"text-align: right;\">\n", |
| 306 | + " <th></th>\n", |
| 307 | + " <th>Unnamed: 0</th>\n", |
| 308 | + " <th>col1</th>\n", |
| 309 | + " <th>col2</th>\n", |
| 310 | + " <th>col3</th>\n", |
| 311 | + " </tr>\n", |
| 312 | + " </thead>\n", |
| 313 | + " <tbody>\n", |
| 314 | + " <tr>\n", |
| 315 | + " <th>0</th>\n", |
| 316 | + " <td>0</td>\n", |
| 317 | + " <td>C</td>\n", |
| 318 | + " <td>D</td>\n", |
| 319 | + " <td>3</td>\n", |
| 320 | + " </tr>\n", |
| 321 | + " <tr>\n", |
| 322 | + " <th>1</th>\n", |
| 323 | + " <td>1</td>\n", |
| 324 | + " <td>CC</td>\n", |
| 325 | + " <td>DD</td>\n", |
| 326 | + " <td>4</td>\n", |
| 327 | + " </tr>\n", |
| 328 | + " <tr>\n", |
| 329 | + " <th>2</th>\n", |
| 330 | + " <td>2</td>\n", |
| 331 | + " <td>A</td>\n", |
| 332 | + " <td>B</td>\n", |
| 333 | + " <td>1</td>\n", |
| 334 | + " </tr>\n", |
| 335 | + " <tr>\n", |
| 336 | + " <th>3</th>\n", |
| 337 | + " <td>3</td>\n", |
| 338 | + " <td>AA</td>\n", |
| 339 | + " <td>BB</td>\n", |
| 340 | + " <td>2</td>\n", |
| 341 | + " </tr>\n", |
| 342 | + " </tbody>\n", |
| 343 | + "</table>\n", |
| 344 | + "</div>" |
| 345 | + ], |
| 346 | + "text/plain": [ |
| 347 | + " Unnamed: 0 col1 col2 col3\n", |
| 348 | + "0 0 C D 3\n", |
| 349 | + "1 1 CC DD 4\n", |
| 350 | + "2 2 A B 1\n", |
| 351 | + "3 3 AA BB 2" |
| 352 | + ] |
| 353 | + }, |
| 354 | + "execution_count": 4, |
| 355 | + "metadata": {}, |
| 356 | + "output_type": "execute_result" |
| 357 | + } |
| 358 | + ], |
| 359 | + "source": [ |
| 360 | + "pd.read_csv('merged.csv')" |
| 361 | + ] |
| 362 | + }, |
41 | 363 | {
|
42 | 364 | "cell_type": "markdown",
|
43 | 365 | "metadata": {},
|
|
47 | 369 | },
|
48 | 370 | {
|
49 | 371 | "cell_type": "code",
|
50 |
| - "execution_count": 2, |
| 372 | + "execution_count": 5, |
51 | 373 | "metadata": {},
|
52 | 374 | "outputs": [
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53 | 375 | {
|
|
118 | 440 | "3 AA BB 2 data_201901.csv"
|
119 | 441 | ]
|
120 | 442 | },
|
121 |
| - "execution_count": 2, |
| 443 | + "execution_count": 5, |
122 | 444 | "metadata": {},
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123 | 445 | "output_type": "execute_result"
|
124 | 446 | }
|
|
150 | 472 | },
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151 | 473 | {
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152 | 474 | "cell_type": "code",
|
153 |
| - "execution_count": 7, |
| 475 | + "execution_count": 6, |
154 | 476 | "metadata": {},
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155 | 477 | "outputs": [
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156 | 478 | {
|
|
271 | 593 | "7 AA BB 2 NaN NaN data_201901.csv"
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272 | 594 | ]
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273 | 595 | },
|
274 |
| - "execution_count": 7, |
| 596 | + "execution_count": 6, |
275 | 597 | "metadata": {},
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276 | 598 | "output_type": "execute_result"
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277 | 599 | }
|
|
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