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9 | 9 | },
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10 | 10 | {
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11 | 11 | "cell_type": "code",
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12 |
| - "execution_count": 9, |
| 12 | + "execution_count": 1, |
13 | 13 | "metadata": {},
|
14 | 14 | "outputs": [],
|
15 | 15 | "source": [
|
|
40 | 40 | },
|
41 | 41 | {
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42 | 42 | "cell_type": "code",
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43 |
| - "execution_count": 32, |
| 43 | + "execution_count": 2, |
44 | 44 | "metadata": {},
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45 | 45 | "outputs": [],
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46 | 46 | "source": [
|
|
49 | 49 | },
|
50 | 50 | {
|
51 | 51 | "cell_type": "code",
|
52 |
| - "execution_count": 16, |
| 52 | + "execution_count": 3, |
53 | 53 | "metadata": {},
|
54 | 54 | "outputs": [
|
55 | 55 | {
|
|
74 | 74 | "data1.info()"
|
75 | 75 | ]
|
76 | 76 | },
|
| 77 | + { |
| 78 | + "cell_type": "code", |
| 79 | + "execution_count": 8, |
| 80 | + "metadata": {}, |
| 81 | + "outputs": [ |
| 82 | + { |
| 83 | + "data": { |
| 84 | + "text/html": [ |
| 85 | + "<div>\n", |
| 86 | + "<style scoped>\n", |
| 87 | + " .dataframe tbody tr th:only-of-type {\n", |
| 88 | + " vertical-align: middle;\n", |
| 89 | + " }\n", |
| 90 | + "\n", |
| 91 | + " .dataframe tbody tr th {\n", |
| 92 | + " vertical-align: top;\n", |
| 93 | + " }\n", |
| 94 | + "\n", |
| 95 | + " .dataframe thead th {\n", |
| 96 | + " text-align: right;\n", |
| 97 | + " }\n", |
| 98 | + "</style>\n", |
| 99 | + "<table border=\"1\" class=\"dataframe\">\n", |
| 100 | + " <thead>\n", |
| 101 | + " <tr style=\"text-align: right;\">\n", |
| 102 | + " <th></th>\n", |
| 103 | + " <th>int_data</th>\n", |
| 104 | + " <th>float_data</th>\n", |
| 105 | + " <th>category_data</th>\n", |
| 106 | + " <th>string_data</th>\n", |
| 107 | + " </tr>\n", |
| 108 | + " </thead>\n", |
| 109 | + " <tbody>\n", |
| 110 | + " <tr>\n", |
| 111 | + " <th>0</th>\n", |
| 112 | + " <td>3.0</td>\n", |
| 113 | + " <td>3.7</td>\n", |
| 114 | + " <td>A</td>\n", |
| 115 | + " <td>str1</td>\n", |
| 116 | + " </tr>\n", |
| 117 | + " <tr>\n", |
| 118 | + " <th>1</th>\n", |
| 119 | + " <td>5.0</td>\n", |
| 120 | + " <td>5.3</td>\n", |
| 121 | + " <td>A</td>\n", |
| 122 | + " <td>str1_str1</td>\n", |
| 123 | + " </tr>\n", |
| 124 | + " <tr>\n", |
| 125 | + " <th>2</th>\n", |
| 126 | + " <td>7.0</td>\n", |
| 127 | + " <td>7.5</td>\n", |
| 128 | + " <td>B</td>\n", |
| 129 | + " <td>str2_str1</td>\n", |
| 130 | + " </tr>\n", |
| 131 | + " <tr>\n", |
| 132 | + " <th>3</th>\n", |
| 133 | + " <td>17.0</td>\n", |
| 134 | + " <td>3.5</td>\n", |
| 135 | + " <td>A</td>\n", |
| 136 | + " <td>str1_str2</td>\n", |
| 137 | + " </tr>\n", |
| 138 | + " <tr>\n", |
| 139 | + " <th>4</th>\n", |
| 140 | + " <td>13.0</td>\n", |
| 141 | + " <td>5.7</td>\n", |
| 142 | + " <td>A</td>\n", |
| 143 | + " <td>str2</td>\n", |
| 144 | + " </tr>\n", |
| 145 | + " <tr>\n", |
| 146 | + " <th>5</th>\n", |
| 147 | + " <td>23.0</td>\n", |
| 148 | + " <td>7.1</td>\n", |
| 149 | + " <td>B</td>\n", |
| 150 | + " <td>str2_str2</td>\n", |
| 151 | + " </tr>\n", |
| 152 | + " <tr>\n", |
| 153 | + " <th>6</th>\n", |
| 154 | + " <td>NaN</td>\n", |
| 155 | + " <td>5.5</td>\n", |
| 156 | + " <td>A</td>\n", |
| 157 | + " <td>str3</td>\n", |
| 158 | + " </tr>\n", |
| 159 | + " <tr>\n", |
| 160 | + " <th>7</th>\n", |
| 161 | + " <td>29.0</td>\n", |
| 162 | + " <td>NaN</td>\n", |
| 163 | + " <td>B</td>\n", |
| 164 | + " <td>str3_str1</td>\n", |
| 165 | + " </tr>\n", |
| 166 | + " <tr>\n", |
| 167 | + " <th>8</th>\n", |
| 168 | + " <td>31.0</td>\n", |
| 169 | + " <td>3.3</td>\n", |
| 170 | + " <td>NaN</td>\n", |
| 171 | + " <td>str2_str3</td>\n", |
| 172 | + " </tr>\n", |
| 173 | + " <tr>\n", |
| 174 | + " <th>9</th>\n", |
| 175 | + " <td>37.0</td>\n", |
| 176 | + " <td>7.7</td>\n", |
| 177 | + " <td>B</td>\n", |
| 178 | + " <td>NaN</td>\n", |
| 179 | + " </tr>\n", |
| 180 | + " </tbody>\n", |
| 181 | + "</table>\n", |
| 182 | + "</div>" |
| 183 | + ], |
| 184 | + "text/plain": [ |
| 185 | + " int_data float_data category_data string_data\n", |
| 186 | + "0 3.0 3.7 A str1\n", |
| 187 | + "1 5.0 5.3 A str1_str1\n", |
| 188 | + "2 7.0 7.5 B str2_str1\n", |
| 189 | + "3 17.0 3.5 A str1_str2\n", |
| 190 | + "4 13.0 5.7 A str2\n", |
| 191 | + "5 23.0 7.1 B str2_str2\n", |
| 192 | + "6 NaN 5.5 A str3\n", |
| 193 | + "7 29.0 NaN B str3_str1\n", |
| 194 | + "8 31.0 3.3 NaN str2_str3\n", |
| 195 | + "9 37.0 7.7 B NaN" |
| 196 | + ] |
| 197 | + }, |
| 198 | + "execution_count": 8, |
| 199 | + "metadata": {}, |
| 200 | + "output_type": "execute_result" |
| 201 | + } |
| 202 | + ], |
| 203 | + "source": [ |
| 204 | + "data1" |
| 205 | + ] |
| 206 | + }, |
77 | 207 | {
|
78 | 208 | "cell_type": "markdown",
|
79 | 209 | "metadata": {},
|
|
90 | 220 | },
|
91 | 221 | {
|
92 | 222 | "cell_type": "code",
|
93 |
| - "execution_count": 24, |
| 223 | + "execution_count": 4, |
94 | 224 | "metadata": {},
|
95 | 225 | "outputs": [],
|
96 | 226 | "source": [
|
|
103 | 233 | },
|
104 | 234 | {
|
105 | 235 | "cell_type": "code",
|
106 |
| - "execution_count": 25, |
| 236 | + "execution_count": 5, |
107 | 237 | "metadata": {},
|
108 | 238 | "outputs": [
|
109 | 239 | {
|
|
130 | 260 | },
|
131 | 261 | {
|
132 | 262 | "cell_type": "code",
|
133 |
| - "execution_count": 26, |
| 263 | + "execution_count": 6, |
134 | 264 | "metadata": {},
|
135 | 265 | "outputs": [
|
136 | 266 | {
|
|
249 | 379 | "9 37 7.7 B <NA>"
|
250 | 380 | ]
|
251 | 381 | },
|
252 |
| - "execution_count": 26, |
| 382 | + "execution_count": 6, |
253 | 383 | "metadata": {},
|
254 | 384 | "output_type": "execute_result"
|
255 | 385 | }
|
|
281 | 411 | },
|
282 | 412 | {
|
283 | 413 | "cell_type": "code",
|
284 |
| - "execution_count": 27, |
| 414 | + "execution_count": 9, |
285 | 415 | "metadata": {},
|
286 | 416 | "outputs": [
|
287 | 417 | {
|
|
290 | 420 | "165"
|
291 | 421 | ]
|
292 | 422 | },
|
293 |
| - "execution_count": 27, |
| 423 | + "execution_count": 9, |
294 | 424 | "metadata": {},
|
295 | 425 | "output_type": "execute_result"
|
296 | 426 | }
|
|
321 | 451 | },
|
322 | 452 | {
|
323 | 453 | "cell_type": "code",
|
324 |
| - "execution_count": 29, |
| 454 | + "execution_count": 10, |
325 | 455 | "metadata": {},
|
326 | 456 | "outputs": [
|
327 | 457 | {
|
|
406 | 536 | "max 37.000000 7.700000"
|
407 | 537 | ]
|
408 | 538 | },
|
409 |
| - "execution_count": 29, |
| 539 | + "execution_count": 10, |
410 | 540 | "metadata": {},
|
411 | 541 | "output_type": "execute_result"
|
412 | 542 | }
|
|
424 | 554 | },
|
425 | 555 | {
|
426 | 556 | "cell_type": "code",
|
427 |
| - "execution_count": 31, |
| 557 | + "execution_count": 11, |
428 | 558 | "metadata": {},
|
429 | 559 | "outputs": [
|
430 | 560 | {
|
|
466 | 596 | " <tr>\n",
|
467 | 597 | " <th>top</th>\n",
|
468 | 598 | " <td>A</td>\n",
|
469 |
| - " <td>str1_str1</td>\n", |
| 599 | + " <td>str3</td>\n", |
470 | 600 | " </tr>\n",
|
471 | 601 | " <tr>\n",
|
472 | 602 | " <th>freq</th>\n",
|
|
481 | 611 | " category_data string_data\n",
|
482 | 612 | "count 9 9\n",
|
483 | 613 | "unique 2 9\n",
|
484 |
| - "top A str1_str1\n", |
| 614 | + "top A str3\n", |
485 | 615 | "freq 5 1"
|
486 | 616 | ]
|
487 | 617 | },
|
488 |
| - "execution_count": 31, |
| 618 | + "execution_count": 11, |
489 | 619 | "metadata": {},
|
490 | 620 | "output_type": "execute_result"
|
491 | 621 | }
|
|
496 | 626 | },
|
497 | 627 | {
|
498 | 628 | "cell_type": "code",
|
499 |
| - "execution_count": 39, |
| 629 | + "execution_count": 12, |
500 | 630 | "metadata": {},
|
501 | 631 | "outputs": [
|
502 | 632 | {
|
|
547 | 677 | "B 3"
|
548 | 678 | ]
|
549 | 679 | },
|
550 |
| - "execution_count": 39, |
| 680 | + "execution_count": 12, |
551 | 681 | "metadata": {},
|
552 | 682 | "output_type": "execute_result"
|
553 | 683 | }
|
|
582 | 712 | "name": "python",
|
583 | 713 | "nbconvert_exporter": "python",
|
584 | 714 | "pygments_lexer": "ipython3",
|
585 |
| - "version": "3.7.6" |
| 715 | + "version": "3.7.7" |
586 | 716 | }
|
587 | 717 | },
|
588 | 718 | "nbformat": 4,
|
|
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