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205 | 205 | " barlist = plt.bar(labels,draw, edgecolor = \"black\", linewidth = 3, alpha = 0.4); plt.title('Realization #' + str(i+1),zorder = 1) \n",
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206 | 206 | " barlist[0].set_color('r'); barlist[1].set_color('g')\n",
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207 | 207 | " \n",
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208 |
| - " plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=1.2 * nrows, wspace=0.2, hspace=0.2)\n", |
| 208 | + " plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=0.8 * nrows, wspace=0.2, hspace=0.2)\n", |
209 | 209 | " plt.show()\n",
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210 | 210 | "\n",
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211 | 211 | "def make_data(a, b, c): # function to check parameters and make sample \n",
|
|
254 | 254 | {
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255 | 255 | "data": {
|
256 | 256 | "application/vnd.jupyter.widget-view+json": {
|
257 |
| - "model_id": "6aafd26b516a4645b83ff053f8886a21", |
| 257 | + "model_id": "018717ecbe4a4977a09758ccfce33737", |
258 | 258 | "version_major": 2,
|
259 | 259 | "version_minor": 0
|
260 | 260 | },
|
|
268 | 268 | {
|
269 | 269 | "data": {
|
270 | 270 | "application/vnd.jupyter.widget-view+json": {
|
271 |
| - "model_id": "bd983e6dda0749328059cc0c6560ce02", |
| 271 | + "model_id": "f937e537e233447e9772e84141f899e8", |
272 | 272 | "version_major": 2,
|
273 | 273 | "version_minor": 0
|
274 | 274 | },
|
|
301 | 301 | },
|
302 | 302 | {
|
303 | 303 | "cell_type": "code",
|
304 |
| - "execution_count": 67, |
| 304 | + "execution_count": 4, |
305 | 305 | "metadata": {},
|
306 | 306 | "outputs": [],
|
307 | 307 | "source": [
|
|
353 | 353 | " patch.set_color(color)\n",
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354 | 354 | " \n",
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355 | 355 | "\n",
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356 |
| - " #ax1.set_ylim(0,a + b)\n", |
357 |
| - " ax1.set_ylim(0,40)\n", |
| 356 | + " ax1.set_ylim(0,a + b)\n", |
358 | 357 | " ax1.grid(zorder=0, color='black', axis = 'y', alpha = 0.2)\n",
|
359 | 358 | " ax1.set_ylabel('Frequency'); ax1.set_xlabel('Balls Drawn');ax1.set_title('Bootstrap Frequency Distributions')\n",
|
360 |
| - " ax1.set_yticks(np.arange(0,40 + 1,5))\n", |
| 359 | + " ax1.set_yticks(np.arange(0,a+b + 1,5))\n", |
361 | 360 | " \n",
|
362 | 361 | " ax2 = fig.add_subplot(gs[0, 1])\n",
|
363 | 362 | " ax2.hist(prop_red,cumulative = True, density = True, alpha=0.2,color=\"red\",edgecolor=\"black\", bins = np.linspace(0,1,50), label = 'Bootstrap')\n",
|
|
478 | 477 | },
|
479 | 478 | {
|
480 | 479 | "cell_type": "code",
|
481 |
| - "execution_count": 68, |
| 480 | + "execution_count": 5, |
482 | 481 | "metadata": {},
|
483 | 482 | "outputs": [
|
484 | 483 | {
|
485 | 484 | "data": {
|
486 | 485 | "application/vnd.jupyter.widget-view+json": {
|
487 |
| - "model_id": "e08f49eb7a8648e5b9720da092a2ed5f", |
| 486 | + "model_id": "e8a9ccb988bd44fa8cc1c75c05efd9a4", |
488 | 487 | "version_major": 2,
|
489 | 488 | "version_minor": 0
|
490 | 489 | },
|
|
498 | 497 | {
|
499 | 498 | "data": {
|
500 | 499 | "application/vnd.jupyter.widget-view+json": {
|
501 |
| - "model_id": "83babc782cec45df89a0d077fadef2a5", |
| 500 | + "model_id": "65fbd26751604146ad1b4d567d5e1bf8", |
502 | 501 | "version_major": 2,
|
503 | 502 | "version_minor": 0
|
504 | 503 | },
|
|
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