1{ 2 "cells": [ 3 { 4 "cell_type": "code", 5 "execution_count": 1, 6 "metadata": {}, 7 "outputs": [ 8 { 9 "data": { 10 "application/vnd.jupyter.widget-view+json": { 11 "model_id": "e152547dd69d46fcbcb602cf9f92e50b", 12 "version_major": 2, 13 "version_minor": 0 14 }, 15 "text/plain": [ 16 "Output()" 17 ] 18 }, 19 "metadata": {}, 20 "output_type": "display_data" 21 } 22 ], 23 "source": [ 24 "import ipywidgets as widgets\n", 25 "from IPython.display import clear_output\n", 26 "output1 = widgets.Output()\n", 27 "output1" 28 ] 29 }, 30 { 31 "cell_type": "code", 32 "execution_count": 2, 33 "metadata": {}, 34 "outputs": [ 35 { 36 "name": "stdout", 37 "output_type": "stream", 38 "text": [ 39 "hi\n" 40 ] 41 } 42 ], 43 "source": [ 44 "print(\"hi\")\n", 45 "with output1:\n", 46 " print(\"in output\")" 47 ] 48 }, 49 { 50 "cell_type": "code", 51 "execution_count": 3, 52 "metadata": {}, 53 "outputs": [], 54 "source": [ 55 "with output1:\n", 56 " raise ValueError(\"trigger msg_type=error\")" 57 ] 58 }, 59 { 60 "cell_type": "code", 61 "execution_count": 4, 62 "metadata": {}, 63 "outputs": [ 64 { 65 "data": { 66 "application/vnd.jupyter.widget-view+json": { 67 "model_id": "44dc393cd7c6461a8c4901f85becfc0e", 68 "version_major": 2, 69 "version_minor": 0 70 }, 71 "text/plain": [ 72 "Output()" 73 ] 74 }, 75 "metadata": {}, 76 "output_type": "display_data" 77 } 78 ], 79 "source": [ 80 "import ipywidgets as widgets\n", 81 "output2 = widgets.Output()\n", 82 "output2" 83 ] 84 }, 85 { 86 "cell_type": "code", 87 "execution_count": 5, 88 "metadata": {}, 89 "outputs": [ 90 { 91 "name": "stdout", 92 "output_type": "stream", 93 "text": [ 94 "hi2\n" 95 ] 96 } 97 ], 98 "source": [ 99 "print(\"hi2\")\n", 100 "with output2:\n", 101 " print(\"in output2\")\n", 102 " clear_output(wait=True)" 103 ] 104 }, 105 { 106 "cell_type": "code", 107 "execution_count": 6, 108 "metadata": {}, 109 "outputs": [ 110 { 111 "data": { 112 "application/vnd.jupyter.widget-view+json": { 113 "model_id": "d6cd7a1de3494d2daff23c6d4ffe42ee", 114 "version_major": 2, 115 "version_minor": 0 116 }, 117 "text/plain": [ 118 "Output()" 119 ] 120 }, 121 "metadata": {}, 122 "output_type": "display_data" 123 } 124 ], 125 "source": [ 126 "import ipywidgets as widgets\n", 127 "output3 = widgets.Output()\n", 128 "output3" 129 ] 130 }, 131 { 132 "cell_type": "code", 133 "execution_count": 7, 134 "metadata": {}, 135 "outputs": [ 136 { 137 "name": "stdout", 138 "output_type": "stream", 139 "text": [ 140 "hi3\n" 141 ] 142 } 143 ], 144 "source": [ 145 "print(\"hi3\")\n", 146 "with output3:\n", 147 " print(\"hello\")\n", 148 " clear_output(wait=True)\n", 149 " print(\"world\")" 150 ] 151 }, 152 { 153 "cell_type": "code", 154 "execution_count": 8, 155 "metadata": {}, 156 "outputs": [ 157 { 158 "data": { 159 "application/vnd.jupyter.widget-view+json": { 160 "model_id": "10517a9d5b1d4ea386945642894dd898", 161 "version_major": 2, 162 "version_minor": 0 163 }, 164 "text/plain": [ 165 "Output()" 166 ] 167 }, 168 "metadata": {}, 169 "output_type": "display_data" 170 } 171 ], 172 "source": [ 173 "import ipywidgets as widgets\n", 174 "output4 = widgets.Output()\n", 175 "output4" 176 ] 177 }, 178 { 179 "cell_type": "code", 180 "execution_count": 9, 181 "metadata": {}, 182 "outputs": [ 183 { 184 "name": "stdout", 185 "output_type": "stream", 186 "text": [ 187 "hi4\n" 188 ] 189 } 190 ], 191 "source": [ 192 "print(\"hi4\")\n", 193 "with output4:\n", 194 " print(\"hello world\")\n", 195 " clear_output()" 196 ] 197 }, 198 { 199 "cell_type": "code", 200 "execution_count": 10, 201 "metadata": {}, 202 "outputs": [ 203 { 204 "data": { 205 "application/vnd.jupyter.widget-view+json": { 206 "model_id": "37f7ba6a9ecc4c19b519e718cd12aafe", 207 "version_major": 2, 208 "version_minor": 0 209 }, 210 "text/plain": [ 211 "Output()" 212 ] 213 }, 214 "metadata": {}, 215 "output_type": "display_data" 216 } 217 ], 218 "source": [ 219 "import ipywidgets as widgets\n", 220 "output5 = widgets.Output()\n", 221 "output5" 222 ] 223 }, 224 { 225 "cell_type": "code", 226 "execution_count": 11, 227 "metadata": {}, 228 "outputs": [], 229 "source": [ 230 "print(\"hi5\")\n", 231 "with output5:\n", 232 " display(\"hello world\") # this is not a stream but plain text\n", 233 "clear_output()" 234 ] 235 }, 236 { 237 "cell_type": "code", 238 "execution_count": 12, 239 "metadata": {}, 240 "outputs": [ 241 { 242 "data": { 243 "application/vnd.jupyter.widget-view+json": { 244 "model_id": "4fb0ee7e557440109c08547514f03c7b", 245 "version_major": 2, 246 "version_minor": 0 247 }, 248 "text/plain": [ 249 "Output()" 250 ] 251 }, 252 "metadata": {}, 253 "output_type": "display_data" 254 } 255 ], 256 "source": [ 257 "import ipywidgets as widgets\n", 258 "output_outer = widgets.Output()\n", 259 "output_inner = widgets.Output()\n", 260 "output_inner" 261 ] 262 }, 263 { 264 "cell_type": "code", 265 "execution_count": 13, 266 "metadata": {}, 267 "outputs": [ 268 { 269 "data": { 270 "application/vnd.jupyter.widget-view+json": { 271 "model_id": "01ea355e26484c13b1caaaf6d29ac0f2", 272 "version_major": 2, 273 "version_minor": 0 274 }, 275 "text/plain": [ 276 "Output()" 277 ] 278 }, 279 "metadata": {}, 280 "output_type": "display_data" 281 } 282 ], 283 "source": [ 284 "output_outer" 285 ] 286 }, 287 { 288 "cell_type": "code", 289 "execution_count": 14, 290 "metadata": {}, 291 "outputs": [], 292 "source": [ 293 "with output_inner:\n", 294 " print('in inner')\n", 295 " with output_outer:\n", 296 " print('in outer')\n", 297 " print('also in inner')" 298 ] 299 } 300 ], 301 "metadata": { 302 "kernelspec": { 303 "language": "python" 304 }, 305 "language_info": { 306 "codemirror_mode": { 307 "name": "ipython", 308 "version": 3 309 }, 310 "file_extension": ".py", 311 "mimetype": "text/x-python", 312 "name": "python", 313 "nbconvert_exporter": "python", 314 "pygments_lexer": "ipython3", 315 "version": "3.7.3" 316 }, 317 "widgets": { 318 "application/vnd.jupyter.widget-state+json": { 319 "state": { 320 "01ea355e26484c13b1caaaf6d29ac0f2": { 321 "model_module": "@jupyter-widgets/output", 322 "model_module_version": "1.0.0", 323 "model_name": "OutputModel", 324 "state": { 325 "layout": "IPY_MODEL_7213e178683c4d0682b3c848a2452cf1", 326 "outputs": [ 327 { 328 "name": "stdout", 329 "output_type": "stream", 330 "text": "in outer\n" 331 } 332 ] 333 } 334 }, 335 "025929abe8a143a08ad23de9e99c610f": { 336 "model_module": "@jupyter-widgets/base", 337 "model_module_version": "1.2.0", 338 "model_name": "LayoutModel", 339 "state": {} 340 }, 341 "03c04d8645a74c4dac2e08e2142122a6": { 342 "model_module": "@jupyter-widgets/base", 343 "model_module_version": "1.2.0", 344 "model_name": "LayoutModel", 345 "state": {} 346 }, 347 "091f6e59c48442b1bdb13320b4f6605d": { 348 "model_module": "@jupyter-widgets/base", 349 "model_module_version": "1.2.0", 350 "model_name": "LayoutModel", 351 "state": {} 352 }, 353 "10517a9d5b1d4ea386945642894dd898": { 354 "model_module": "@jupyter-widgets/output", 355 "model_module_version": "1.0.0", 356 "model_name": "OutputModel", 357 "state": { 358 "layout": "IPY_MODEL_2c67de94f62d4887866d22abca7f6f13" 359 } 360 }, 361 "106de0ded502439c873de5449248b00c": { 362 "model_module": "@jupyter-widgets/base", 363 "model_module_version": "1.2.0", 364 "model_name": "LayoutModel", 365 "state": {} 366 }, 367 "1b9529b98aaf40ccbbf38e178796be88": { 368 "model_module": "@jupyter-widgets/base", 369 "model_module_version": "1.2.0", 370 "model_name": "LayoutModel", 371 "state": {} 372 }, 373 "22592f3cb7674cb79cc60def5e8bc060": { 374 "model_module": "@jupyter-widgets/base", 375 "model_module_version": "1.2.0", 376 "model_name": "LayoutModel", 377 "state": {} 378 }, 379 "2468aac6020349139ee6236b5dde0310": { 380 "model_module": "@jupyter-widgets/output", 381 "model_module_version": "1.0.0", 382 "model_name": "OutputModel", 383 "state": { 384 "layout": "IPY_MODEL_d5e88b6a26114d6da0b7af215aa2c3bb" 385 } 386 }, 387 "2955dc9c531c4c6b80086da240d0df13": { 388 "model_module": "@jupyter-widgets/output", 389 "model_module_version": "1.0.0", 390 "model_name": "OutputModel", 391 "state": { 392 "layout": "IPY_MODEL_1b9529b98aaf40ccbbf38e178796be88", 393 "outputs": [ 394 { 395 "name": "stdout", 396 "output_type": "stream", 397 "text": "world\n" 398 } 399 ] 400 } 401 }, 402 "2c67de94f62d4887866d22abca7f6f13": { 403 "model_module": "@jupyter-widgets/base", 404 "model_module_version": "1.2.0", 405 "model_name": "LayoutModel", 406 "state": {} 407 }, 408 "37f7ba6a9ecc4c19b519e718cd12aafe": { 409 "model_module": "@jupyter-widgets/output", 410 "model_module_version": "1.0.0", 411 "model_name": "OutputModel", 412 "state": { 413 "layout": "IPY_MODEL_03c04d8645a74c4dac2e08e2142122a6", 414 "outputs": [ 415 { 416 "data": { 417 "text/plain": "'hello world'" 418 }, 419 "metadata": {}, 420 "output_type": "display_data" 421 } 422 ] 423 } 424 }, 425 "3945ce528fbf40dc830767281892ea56": { 426 "model_module": "@jupyter-widgets/base", 427 "model_module_version": "1.2.0", 428 "model_name": "LayoutModel", 429 "state": {} 430 }, 431 "3c6bb7a6fd4f4f8786d30ef7b2c7c050": { 432 "model_module": "@jupyter-widgets/base", 433 "model_module_version": "1.2.0", 434 "model_name": "LayoutModel", 435 "state": {} 436 }, 437 "3e0e8f5d18fe4992b11e1d5c13faecdf": { 438 "model_module": "@jupyter-widgets/base", 439 "model_module_version": "1.2.0", 440 "model_name": "LayoutModel", 441 "state": {} 442 }, 443 "44dc393cd7c6461a8c4901f85becfc0e": { 444 "model_module": "@jupyter-widgets/output", 445 "model_module_version": "1.0.0", 446 "model_name": "OutputModel", 447 "state": { 448 "layout": "IPY_MODEL_3c6bb7a6fd4f4f8786d30ef7b2c7c050", 449 "outputs": [ 450 { 451 "name": "stdout", 452 "output_type": "stream", 453 "text": "in output2\n" 454 } 455 ] 456 } 457 }, 458 "45823daa739447a6ba5393e45204ec8e": { 459 "model_module": "@jupyter-widgets/output", 460 "model_module_version": "1.0.0", 461 "model_name": "OutputModel", 462 "state": { 463 "layout": "IPY_MODEL_3e0e8f5d18fe4992b11e1d5c13faecdf", 464 "outputs": [ 465 { 466 "data": { 467 "text/plain": "'hello world'" 468 }, 469 "metadata": {}, 470 "output_type": "display_data" 471 } 472 ] 473 } 474 }, 475 "4fa2d1a41bd64017a20e358526ad9cf3": { 476 "model_module": "@jupyter-widgets/output", 477 "model_module_version": "1.0.0", 478 "model_name": "OutputModel", 479 "state": { 480 "layout": "IPY_MODEL_6490daaa1d2e42a0aef909e7b8c8eff4", 481 "outputs": [ 482 { 483 "data": { 484 "text/plain": "'hello world'" 485 }, 486 "metadata": {}, 487 "output_type": "display_data" 488 } 489 ] 490 } 491 }, 492 "4fb0ee7e557440109c08547514f03c7b": { 493 "model_module": "@jupyter-widgets/output", 494 "model_module_version": "1.0.0", 495 "model_name": "OutputModel", 496 "state": { 497 "layout": "IPY_MODEL_dbf140d66ba247b7847c0f5642b7f607", 498 "outputs": [ 499 { 500 "name": "stdout", 501 "output_type": "stream", 502 "text": "in inner\nalso in inner\n" 503 } 504 ] 505 } 506 }, 507 "55aff5c4b53f440a868919f042cf9c14": { 508 "model_module": "@jupyter-widgets/output", 509 "model_module_version": "1.0.0", 510 "model_name": "OutputModel", 511 "state": { 512 "layout": "IPY_MODEL_a14653416772496aabed04b4719268ef", 513 "outputs": [ 514 { 515 "name": "stdout", 516 "output_type": "stream", 517 "text": "in inner\nalso in inner\n" 518 } 519 ] 520 } 521 }, 522 "5747ce87279c44519b9df62799e25e6f": { 523 "model_module": "@jupyter-widgets/output", 524 "model_module_version": "1.0.0", 525 "model_name": "OutputModel", 526 "state": { 527 "layout": "IPY_MODEL_6ef78dc31eec422ab2afce4be129836f", 528 "outputs": [ 529 { 530 "name": "stdout", 531 "output_type": "stream", 532 "text": "in output2\n" 533 } 534 ] 535 } 536 }, 537 "6490daaa1d2e42a0aef909e7b8c8eff4": { 538 "model_module": "@jupyter-widgets/base", 539 "model_module_version": "1.2.0", 540 "model_name": "LayoutModel", 541 "state": {} 542 }, 543 "6ef78dc31eec422ab2afce4be129836f": { 544 "model_module": "@jupyter-widgets/base", 545 "model_module_version": "1.2.0", 546 "model_name": "LayoutModel", 547 "state": {} 548 }, 549 "7134e81fdb364a738c1e58b26ec0d008": { 550 "model_module": "@jupyter-widgets/output", 551 "model_module_version": "1.0.0", 552 "model_name": "OutputModel", 553 "state": { 554 "layout": "IPY_MODEL_025929abe8a143a08ad23de9e99c610f", 555 "outputs": [ 556 { 557 "name": "stdout", 558 "output_type": "stream", 559 "text": "in inner\nalso in inner\n" 560 } 561 ] 562 } 563 }, 564 "7213e178683c4d0682b3c848a2452cf1": { 565 "model_module": "@jupyter-widgets/base", 566 "model_module_version": "1.2.0", 567 "model_name": "LayoutModel", 568 "state": {} 569 }, 570 "804b6628ca0a48dfbad930615626b1fb": { 571 "model_module": "@jupyter-widgets/base", 572 "model_module_version": "1.2.0", 573 "model_name": "LayoutModel", 574 "state": {} 575 }, 576 "a14653416772496aabed04b4719268ef": { 577 "model_module": "@jupyter-widgets/base", 578 "model_module_version": "1.2.0", 579 "model_name": "LayoutModel", 580 "state": {} 581 }, 582 "a32671b19b814cf5bd964c36368f9f79": { 583 "model_module": "@jupyter-widgets/output", 584 "model_module_version": "1.0.0", 585 "model_name": "OutputModel", 586 "state": { 587 "layout": "IPY_MODEL_c843c22ff72e4983984ca4d62ce68e2b", 588 "outputs": [ 589 { 590 "name": "stdout", 591 "output_type": "stream", 592 "text": "in outer\n" 593 } 594 ] 595 } 596 }, 597 "aaf673ac9c774aaba4f751db2f3dd6c5": { 598 "model_module": "@jupyter-widgets/output", 599 "model_module_version": "1.0.0", 600 "model_name": "OutputModel", 601 "state": { 602 "layout": "IPY_MODEL_106de0ded502439c873de5449248b00c", 603 "outputs": [ 604 { 605 "name": "stdout", 606 "output_type": "stream", 607 "text": "in output2\n" 608 } 609 ] 610 } 611 }, 612 "bc3d9af2591e4a52af73921f46d79efa": { 613 "model_module": "@jupyter-widgets/output", 614 "model_module_version": "1.0.0", 615 "model_name": "OutputModel", 616 "state": { 617 "layout": "IPY_MODEL_22592f3cb7674cb79cc60def5e8bc060" 618 } 619 }, 620 "c843c22ff72e4983984ca4d62ce68e2b": { 621 "model_module": "@jupyter-widgets/base", 622 "model_module_version": "1.2.0", 623 "model_name": "LayoutModel", 624 "state": {} 625 }, 626 "cc022dc8b5584570a04facf68f9bdf0b": { 627 "model_module": "@jupyter-widgets/output", 628 "model_module_version": "1.0.0", 629 "model_name": "OutputModel", 630 "state": { 631 "layout": "IPY_MODEL_3945ce528fbf40dc830767281892ea56", 632 "outputs": [ 633 { 634 "name": "stdout", 635 "output_type": "stream", 636 "text": "in outer\n" 637 } 638 ] 639 } 640 }, 641 "d0cb56db68f2485480da1b2a43ad3c02": { 642 "model_module": "@jupyter-widgets/output", 643 "model_module_version": "1.0.0", 644 "model_name": "OutputModel", 645 "state": { 646 "layout": "IPY_MODEL_df4468e2240a430599a01e731472c319", 647 "outputs": [ 648 { 649 "name": "stdout", 650 "output_type": "stream", 651 "text": "in output\n" 652 }, 653 { 654 "ename": "ValueError", 655 "evalue": "trigger msg_type=error", 656 "output_type": "error", 657 "traceback": [ 658 "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", 659 "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", 660 "\u001b[0;32m<ipython-input-15-7f84f5558b68>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0moutput1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"trigger msg_type=error\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", 661 "\u001b[0;31mValueError\u001b[0m: trigger msg_type=error" 662 ] 663 } 664 ] 665 } 666 }, 667 "d314a6ef74d947f3a2149bdf9b8b57a3": { 668 "model_module": "@jupyter-widgets/output", 669 "model_module_version": "1.0.0", 670 "model_name": "OutputModel", 671 "state": { 672 "layout": "IPY_MODEL_804b6628ca0a48dfbad930615626b1fb", 673 "outputs": [ 674 { 675 "name": "stdout", 676 "output_type": "stream", 677 "text": "in output\n" 678 } 679 ] 680 } 681 }, 682 "d5e88b6a26114d6da0b7af215aa2c3bb": { 683 "model_module": "@jupyter-widgets/base", 684 "model_module_version": "1.2.0", 685 "model_name": "LayoutModel", 686 "state": {} 687 }, 688 "d6cd7a1de3494d2daff23c6d4ffe42ee": { 689 "model_module": "@jupyter-widgets/output", 690 "model_module_version": "1.0.0", 691 "model_name": "OutputModel", 692 "state": { 693 "layout": "IPY_MODEL_091f6e59c48442b1bdb13320b4f6605d", 694 "outputs": [ 695 { 696 "name": "stdout", 697 "output_type": "stream", 698 "text": "world\n" 699 } 700 ] 701 } 702 }, 703 "dbf140d66ba247b7847c0f5642b7f607": { 704 "model_module": "@jupyter-widgets/base", 705 "model_module_version": "1.2.0", 706 "model_name": "LayoutModel", 707 "state": {} 708 }, 709 "de7ba4c0eed941a3b52fa940387d1415": { 710 "model_module": "@jupyter-widgets/base", 711 "model_module_version": "1.2.0", 712 "model_name": "LayoutModel", 713 "state": {} 714 }, 715 "df4468e2240a430599a01e731472c319": { 716 "model_module": "@jupyter-widgets/base", 717 "model_module_version": "1.2.0", 718 "model_name": "LayoutModel", 719 "state": {} 720 }, 721 "e152547dd69d46fcbcb602cf9f92e50b": { 722 "model_module": "@jupyter-widgets/output", 723 "model_module_version": "1.0.0", 724 "model_name": "OutputModel", 725 "state": { 726 "layout": "IPY_MODEL_de7ba4c0eed941a3b52fa940387d1415", 727 "outputs": [ 728 { 729 "name": "stdout", 730 "output_type": "stream", 731 "text": "in output\n" 732 }, 733 { 734 "ename": "ValueError", 735 "evalue": "trigger msg_type=error", 736 "output_type": "error", 737 "traceback": [ 738 "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", 739 "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", 740 "\u001b[0;32m<ipython-input-3-7f84f5558b68>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0moutput1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"trigger msg_type=error\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", 741 "\u001b[0;31mValueError\u001b[0m: trigger msg_type=error" 742 ] 743 } 744 ] 745 } 746 }, 747 "e27795e5a4f14450b8c9590cac51cb6b": { 748 "model_module": "@jupyter-widgets/base", 749 "model_module_version": "1.2.0", 750 "model_name": "LayoutModel", 751 "state": {} 752 }, 753 "e3e20af587534a9bb3fa413951ceb28d": { 754 "model_module": "@jupyter-widgets/output", 755 "model_module_version": "1.0.0", 756 "model_name": "OutputModel", 757 "state": { 758 "layout": "IPY_MODEL_e27795e5a4f14450b8c9590cac51cb6b", 759 "outputs": [ 760 { 761 "name": "stdout", 762 "output_type": "stream", 763 "text": "world\n" 764 } 765 ] 766 } 767 } 768 }, 769 "version_major": 2, 770 "version_minor": 0 771 } 772 } 773 }, 774 "nbformat": 4, 775 "nbformat_minor": 2 776} 777