|
16 | 16 | "metadata": {}, |
17 | 17 | "outputs": [], |
18 | 18 | "source": [ |
| 19 | + "import warnings\n", |
| 20 | + "\n", |
19 | 21 | "import arviz as az\n", |
20 | 22 | "import pandas as pd\n", |
21 | 23 | "\n", |
|
31 | 33 | "%load_ext autoreload\n", |
32 | 34 | "%autoreload 2\n", |
33 | 35 | "%config InlineBackend.figure_format = 'retina'\n", |
34 | | - "seed = 42" |
| 36 | + "seed = 42\n", |
| 37 | + "warnings.simplefilter(action=\"ignore\", category=FutureWarning)" |
35 | 38 | ] |
36 | 39 | }, |
37 | 40 | { |
|
117 | 120 | "execution_count": 5, |
118 | 121 | "metadata": {}, |
119 | 122 | "outputs": [ |
120 | | - { |
121 | | - "name": "stderr", |
122 | | - "output_type": "stream", |
123 | | - "text": [ |
124 | | - "/var/folders/r0/nf1kgxsx6zx3rw16xc3wnnzr0000gn/T/ipykernel_542/1357227858.py:25: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", |
125 | | - " df_long = df_long.replace({\"district\": {\"Sixth District\": 1, \"Eighth District\": 0}})\n" |
126 | | - ] |
127 | | - }, |
128 | 123 | { |
129 | 124 | "data": { |
130 | 125 | "text/html": [ |
|
371 | 366 | { |
372 | 367 | "data": { |
373 | 368 | "application/vnd.jupyter.widget-view+json": { |
374 | | - "model_id": "ff04eb755c5a4b3799f9357b391b95c6", |
| 369 | + "model_id": "157d55ed720c45048f1f3b9ec64f1633", |
375 | 370 | "version_major": 2, |
376 | 371 | "version_minor": 0 |
377 | 372 | }, |
|
548 | 543 | { |
549 | 544 | "data": { |
550 | 545 | "application/vnd.jupyter.widget-view+json": { |
551 | | - "model_id": "1c73d88ba42d4bc58597e27f4130346b", |
| 546 | + "model_id": "e55e1b5eec744b3ab83eb01ce5cd778c", |
552 | 547 | "version_major": 2, |
553 | 548 | "version_minor": 0 |
554 | 549 | }, |
|
573 | 568 | "name": "stderr", |
574 | 569 | "output_type": "stream", |
575 | 570 | "text": [ |
576 | | - "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n", |
| 571 | + "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n", |
577 | 572 | "Sampling: [beta, sigma, y_hat]\n", |
578 | 573 | "Sampling: [y_hat]\n", |
579 | 574 | "Sampling: [y_hat]\n", |
|
717 | 712 | { |
718 | 713 | "data": { |
719 | 714 | "application/vnd.jupyter.widget-view+json": { |
720 | | - "model_id": "a602258c8e4745d78b52f86f3da22766", |
| 715 | + "model_id": "2765ee0006c8440983f9dcfa938bea5c", |
721 | 716 | "version_major": 2, |
722 | 717 | "version_minor": 0 |
723 | 718 | }, |
|
880 | 875 | { |
881 | 876 | "data": { |
882 | 877 | "application/vnd.jupyter.widget-view+json": { |
883 | | - "model_id": "9713a99c6b7049359c1a16793145ca46", |
| 878 | + "model_id": "dd5a6855e8034f63961ddd55c6e23e13", |
884 | 879 | "version_major": 2, |
885 | 880 | "version_minor": 0 |
886 | 881 | }, |
|
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