| { | |
| "metadata": { | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "python", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.8" | |
| }, | |
| "kernelspec": { | |
| "name": "python", | |
| "display_name": "Python (Pyodide)", | |
| "language": "python" | |
| } | |
| }, | |
| "nbformat_minor": 4, | |
| "nbformat": 4, | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "source": "import matplotlib.pyplot as plt\nfrom datetime import datetime\n\ndef convert_numerals(numerals: str):\n total = 0.0\n n = 0.0\n for s in numerals.split():\n try:\n n = float(s)\n except ValueError:\n total += n * (10000 ** \"一万億兆京\".index(s))\n n = 0.0\n total += n\n return total\n\n\ntsv = \"\"\"\nThu Jul 13 01:09:38 +0000 2023\t金曜感 700 億\nThu Jul 04 13:52:09 +0000 2019\t金曜感 9\nWed Jun 12 14:24:43 +0000 2019\t金曜感 8\nFri Jun 16 04:52:52 +0000 2023\t金曜感 2300\nWed Mar 27 11:21:12 +0000 2019\t金曜感 9\nTue Mar 26 12:25:07 +0000 2019\t金曜感 9\nFri Oct 14 09:12:41 +0000 2022\t金曜感 89\nThu Sep 29 13:15:55 +0000 2022\t金曜感 8 億\nMon Sep 19 15:02:11 +0000 2022\t金曜感 1\nThu Sep 15 00:50:45 +0000 2022\t金曜感 95\nThu Jun 08 09:58:40 +0000 2023\t金曜感 15 億\nWed Aug 31 03:47:09 +0000 2022\t金曜感 200 万\nWed Aug 10 03:36:34 +0000 2022\t金曜感 8 万\nMon Jun 05 12:03:57 +0000 2023\t金曜感 5000\nThu Jun 01 12:05:34 +0000 2023\t金曜感 650 万\nFri Jul 08 04:33:18 +0000 2022\t金曜感 1500 万\nTue Jun 28 02:54:36 +0000 2022\t金曜感 3500\nThu May 19 07:47:07 +0000 2022\t金曜感 15 万\nThu May 12 12:57:18 +0000 2022\t金曜感 4630 万\nThu Apr 28 01:15:06 +0000 2022\t金曜感 2 京\nFri Apr 01 09:53:57 +0000 2022\t金曜感 20 兆\nThu Mar 31 10:32:00 +0000 2022\t金曜感 15 兆\nThu Mar 24 09:58:37 +0000 2022\t金曜感 60\nWed Mar 16 08:42:03 +0000 2022\t金曜感 40 万\nTue Mar 08 00:51:00 +0000 2022\t金曜感 70 億\nWed Feb 09 14:44:47 +0000 2022\t金曜感 2 億\nThu May 18 03:16:45 +0000 2023\t金曜感 95 万\nWed Jan 12 12:43:35 +0000 2022\t金曜感 5000\nFri Jan 07 00:50:25 +0000 2022\t金曜感 7.7 兆\nThu Dec 23 06:16:13 +0000 2021\t金曜感 7 兆\nTue Nov 30 10:57:58 +0000 2021\t金曜感 2 兆\nThu Nov 04 01:19:56 +0000 2021\t金曜感 4\nTue Oct 19 08:59:59 +0000 2021\t金曜感 550 億\nThu Oct 07 05:23:56 +0000 2021\t金曜感 7 万\nFri May 05 10:45:23 +0000 2023\t金曜感 15\nFri Oct 01 02:51:50 +0000 2021\t金曜感 3500 億\nThu Sep 30 07:01:32 +0000 2021\t金曜感 9 兆\nWed Sep 22 02:23:06 +0000 2021\t金曜感 16\nThu Sep 09 23:37:04 +0000 2021\t金曜感 2 兆\nMon Sep 06 11:05:31 +0000 2021\t金曜感 6000\nWed Aug 25 04:55:46 +0000 2021\t金曜感 1 兆 2000 億\nThu Aug 18 11:51:39 +0000 2021\t金曜感 800 億\nMon May 01 12:10:49 +0000 2023\t金曜感 3\nThu Apr 27 07:35:16 +0000 2023\t金曜感 5.5 億\nThu Jul 06 03:07:52 +0000 2023\t金曜感 10 兆\nWed Jul 05 05:14:17 +0000 2023\t金曜感 6 万\nThu May 20 00:51:34 +0000 2021\t金曜感 6700 億\nFri May 14 02:11:35 +0000 2021\t金曜感 75\nFri May 07 09:12:30 +0000 2021\t金曜感 3\nThu Apr 08 11:21:33 +0000 2021\t金曜感 7 兆\nWed Apr 19 05:34:58 +0000 2023\t金曜感 85 万\nThu Feb 25 06:43:31 +0000 2021\t金曜感 7.5 億\nThu Apr 13 09:23:40 +0000 2023\t金曜感 10 兆\nFri Feb 05 01:14:31 +0000 2021\t金曜感 6000 万\nFri Jan 15 08:14:36 +0000 2021\t金曜感 2500 億\nThu Dec 17 15:09:21 +0000 2020\t金曜感 5\nFri Dec 11 01:05:01 +0000 2020\t金曜感 9 兆 5000 億\nWed Dec 09 11:41:51 +0000 2020\t金曜感 40 億\nMon Nov 02 08:10:06 +0000 2020\t金曜感 8 兆\nThu Mar 30 07:56:50 +0000 2023\t金曜感 2 兆\nWed Mar 22 11:51:41 +0000 2023\t金曜感 32\nWed Jun 28 08:32:03 +0000 2023\t金曜感 250 億\nWed Mar 15 11:37:54 +0000 2023\t金曜感 90 万\nWed Jul 29 12:32:49 +0000 2020\t金曜感 2 兆\nWed Jul 22 12:35:17 +0000 2020\t金曜感 237 億\nFri Jun 26 00:05:13 +0000 2020\t金曜感 36 京\nWed Mar 01 00:39:44 +0000 2023\t金曜感 2 億\nThu May 28 13:25:37 +0000 2020\t金曜感 5 兆\nTue May 26 11:38:25 +0000 2020\t金曜感 3 億\nFri May 22 05:03:02 +0000 2020\t金曜感 8 兆\nThu May 21 00:25:36 +0000 2020\t金曜感 4 兆\nWed May 20 07:38:19 +0000 2020\t金曜感 2 兆\nFri May 15 12:17:37 +0000 2020\t金曜感 2 兆\nThu May 14 10:49:47 +0000 2020\t金曜感 2 兆\nWed Feb 22 00:53:16 +0000 2023\t金曜感 40 億\nWed Apr 01 12:41:31 +0000 2020\t金曜感 7 億\nWed Feb 15 05:32:58 +0000 2023\t金曜感 600 万\nThu Mar 19 00:21:58 +0000 2020\t金曜感 3\nThu Mar 05 00:52:20 +0000 2020\t金曜感 1.5 億\nTue Mar 03 13:22:40 +0000 2020\t金曜感 90 億\nWed Feb 08 11:24:37 +0000 2023\t金曜感 750 億\nMon Feb 17 13:52:56 +0000 2020\t金曜感 750 万\nFri Feb 07 09:27:42 +0000 2020\t金曜感 4\nWed Jan 08 01:07:26 +0000 2020\t金曜感 15 万\nThu Dec 19 11:50:00 +0000 2019\t金曜感 95 億\nThu Dec 12 12:31:10 +0000 2019\t金曜感 2.5 億\nTue Dec 03 13:25:56 +0000 2019\t金曜感 8 万\nWed Nov 20 12:38:52 +0000 2019\t金曜感 5 億\nFri Jan 13 01:59:16 +0000 2023\t金曜感 60000000\nTue Jan 10 07:01:09 +0000 2023\t金曜感 2\nFri Jan 06 08:03:21 +0000 2023\t金曜感 750\n\"\"\".strip()\n\nx = []\ny = []\nfor line in tsv.splitlines():\n date_str, _, fof_str = line.partition('\\t金曜感')\n x.append(datetime.strptime(date_str.strip(), '%a %b %d %H:%M:%S %z %Y'))\n y.append(convert_numerals(fof_str.strip()))\n\nplt.figure()\nplt.yscale(\"log\")\nplt.plot(x, y, 'o')\nplt.xticks(rotation=90)\nplt.grid(True)\nplt.show()", | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "execution_count": 1, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "<Figure size 640x480 with 1 Axes>", | |
| "image/png": 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" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| } | |
| ] | |
| } |
元データの出し方
sed 1d tweets.js | sed 1i[ | jq -r '.[].tweet | select(.full_text | test("金曜感.*\\d")) | [ .created_at, .full_text ] | @tsv'