|
78 | 78 | "df.y.value_counts()" |
79 | 79 | ] |
80 | 80 | }, |
| 81 | + { |
| 82 | + "cell_type": "code", |
| 83 | + "execution_count": 12, |
| 84 | + "metadata": {}, |
| 85 | + "outputs": [ |
| 86 | + { |
| 87 | + "data": { |
| 88 | + "text/plain": [ |
| 89 | + "Index(['index0x', 'index0y', 'index0z', 'index1x', 'index1y', 'index1z',\n", |
| 90 | + " 'index2x', 'index2y', 'index2z', 'index3x', 'index3y', 'index3z',\n", |
| 91 | + " 'middle0x', 'middle0y', 'middle0z', 'middle1x', 'middle1y', 'middle1z',\n", |
| 92 | + " 'middle2x', 'middle2y', 'middle2z', 'middle3x', 'middle3y', 'middle3z',\n", |
| 93 | + " 'ring0x', 'ring0y', 'ring0z', 'ring1x', 'ring1y', 'ring1z', 'ring2x',\n", |
| 94 | + " 'ring2y', 'ring2z', 'ring3x', 'ring3y', 'ring3z', 'pinky0x', 'pinky0y',\n", |
| 95 | + " 'pinky0z', 'pinky1x', 'pinky1y', 'pinky1z', 'pinky2x', 'pinky2y',\n", |
| 96 | + " 'pinky2z', 'pinky3x', 'pinky3y', 'pinky3z', 'thumb0x', 'thumb0y',\n", |
| 97 | + " 'thumb0z', 'thumb1x', 'thumb1y', 'thumb1z', 'thumb2x', 'thumb2y',\n", |
| 98 | + " 'thumb2z', 'thumb3x', 'thumb3y', 'thumb3z', 'palm0x', 'palm0y',\n", |
| 99 | + " 'palm0z', 'y'],\n", |
| 100 | + " dtype='object')" |
| 101 | + ] |
| 102 | + }, |
| 103 | + "execution_count": 12, |
| 104 | + "metadata": {}, |
| 105 | + "output_type": "execute_result" |
| 106 | + } |
| 107 | + ], |
| 108 | + "source": [ |
| 109 | + "df.columns" |
| 110 | + ] |
| 111 | + }, |
81 | 112 | { |
82 | 113 | "cell_type": "markdown", |
83 | 114 | "metadata": {}, |
|
87 | 118 | }, |
88 | 119 | { |
89 | 120 | "cell_type": "code", |
90 | | - "execution_count": 3, |
| 121 | + "execution_count": 4, |
91 | 122 | "metadata": {}, |
92 | 123 | "outputs": [], |
93 | 124 | "source": [ |
|
107 | 138 | }, |
108 | 139 | { |
109 | 140 | "cell_type": "code", |
110 | | - "execution_count": 4, |
| 141 | + "execution_count": 5, |
111 | 142 | "metadata": {}, |
112 | 143 | "outputs": [ |
113 | 144 | { |
|
152 | 183 | }, |
153 | 184 | { |
154 | 185 | "cell_type": "code", |
155 | | - "execution_count": 5, |
| 186 | + "execution_count": 6, |
156 | 187 | "metadata": {}, |
157 | 188 | "outputs": [ |
158 | 189 | { |
|
260 | 291 | "9 1.00000 1.000000 1.000000" |
261 | 292 | ] |
262 | 293 | }, |
263 | | - "execution_count": 5, |
| 294 | + "execution_count": 6, |
264 | 295 | "metadata": {}, |
265 | 296 | "output_type": "execute_result" |
266 | 297 | } |
|
301 | 332 | }, |
302 | 333 | { |
303 | 334 | "cell_type": "code", |
304 | | - "execution_count": 6, |
| 335 | + "execution_count": 7, |
305 | 336 | "metadata": {}, |
306 | 337 | "outputs": [ |
307 | 338 | { |
|
313 | 344 | "dtype: float64" |
314 | 345 | ] |
315 | 346 | }, |
316 | | - "execution_count": 6, |
| 347 | + "execution_count": 7, |
317 | 348 | "metadata": {}, |
318 | 349 | "output_type": "execute_result" |
319 | 350 | } |
|
331 | 362 | }, |
332 | 363 | { |
333 | 364 | "cell_type": "code", |
334 | | - "execution_count": 7, |
| 365 | + "execution_count": 8, |
335 | 366 | "metadata": {}, |
336 | 367 | "outputs": [], |
337 | 368 | "source": [ |
|
352 | 383 | }, |
353 | 384 | { |
354 | 385 | "cell_type": "code", |
355 | | - "execution_count": 8, |
| 386 | + "execution_count": 9, |
356 | 387 | "metadata": {}, |
357 | 388 | "outputs": [ |
358 | 389 | { |
|
375 | 406 | }, |
376 | 407 | { |
377 | 408 | "cell_type": "code", |
378 | | - "execution_count": 9, |
| 409 | + "execution_count": 10, |
379 | 410 | "metadata": {}, |
380 | 411 | "outputs": [], |
381 | 412 | "source": [ |
|
390 | 421 | }, |
391 | 422 | { |
392 | 423 | "cell_type": "code", |
393 | | - "execution_count": 10, |
| 424 | + "execution_count": 11, |
394 | 425 | "metadata": {}, |
395 | 426 | "outputs": [], |
396 | 427 | "source": [ |
|
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