|
74 | 74 | }, |
75 | 75 | { |
76 | 76 | "cell_type": "markdown", |
77 | | - "metadata": { |
78 | | - "jp-MarkdownHeadingCollapsed": true |
79 | | - }, |
| 77 | + "metadata": {}, |
80 | 78 | "source": [ |
81 | 79 | "## 基本RBCモデルの詳細" |
82 | 80 | ] |
|
693 | 691 | { |
694 | 692 | "cell_type": "markdown", |
695 | 693 | "metadata": { |
696 | | - "heading_collapsed": true, |
697 | | - "jp-MarkdownHeadingCollapsed": true |
| 694 | + "heading_collapsed": true |
698 | 695 | }, |
699 | 696 | "source": [ |
700 | 697 | "### インパルス反応" |
|
963 | 960 | { |
964 | 961 | "cell_type": "markdown", |
965 | 962 | "metadata": { |
966 | | - "heading_collapsed": true, |
967 | | - "jp-MarkdownHeadingCollapsed": true |
| 963 | + "heading_collapsed": true |
968 | 964 | }, |
969 | 965 | "source": [ |
970 | 966 | "### コードを1つのセルにまとめる" |
|
1054 | 1050 | "rbc_basic_model.impulse(T=50, t0=5)\n", |
1055 | 1051 | "\n", |
1056 | 1052 | "# プロット\n", |
1057 | | - "ax_ = rbc_basic_model.irs['v'].plot(subplots=True,\n", |
1058 | | - " layout=(4,2),\n", |
1059 | | - " lw=3,\n", |
1060 | | - " figsize=(12,6),\n", |
1061 | | - " sharey=True,\n", |
1062 | | - " grid=True)\n", |
| 1053 | + "ax_ = ( 100*rbc_basic_model.irs['v'] ).plot(subplots=True,\n", |
| 1054 | + " layout=(4,2),\n", |
| 1055 | + " lw=3,\n", |
| 1056 | + " figsize=(12,6),\n", |
| 1057 | + " sharey=True,\n", |
| 1058 | + " grid=True)\n", |
1063 | 1059 | "ax_[0,0].get_figure().suptitle('定常値からの%乖離',fontsize=20)\n", |
1064 | 1060 | "pass" |
1065 | 1061 | ] |
1066 | 1062 | }, |
1067 | 1063 | { |
1068 | 1064 | "cell_type": "markdown", |
1069 | 1065 | "metadata": { |
1070 | | - "heading_collapsed": true, |
1071 | | - "jp-MarkdownHeadingCollapsed": true |
| 1066 | + "heading_collapsed": true |
1072 | 1067 | }, |
1073 | 1068 | "source": [ |
1074 | 1069 | "### 確率的シミュレーション" |
|
1121 | 1116 | }, |
1122 | 1117 | "outputs": [], |
1123 | 1118 | "source": [ |
1124 | | - "ax_ = rbc_basic_model.simulated[['v','a','y','c','i','k']].plot(subplots=True,\n", |
1125 | | - " layout=(2,3),\n", |
1126 | | - " figsize=(12,5),\n", |
1127 | | - " sharey=True,\n", |
1128 | | - " grid=True)\n", |
| 1119 | + "ax_ = ( 100*rbc_basic_model.simulated[['v','a','y','c','i','k']] ).plot(subplots=True,\n", |
| 1120 | + " layout=(2,3),\n", |
| 1121 | + " figsize=(12,5),\n", |
| 1122 | + " sharey=True,\n", |
| 1123 | + " grid=True)\n", |
1129 | 1124 | "ax_[0,0].get_figure().suptitle('定常値からの%乖離',fontsize=20)\n", |
1130 | 1125 | "pass" |
1131 | 1126 | ] |
|
1316 | 1311 | }, |
1317 | 1312 | "outputs": [], |
1318 | 1313 | "source": [ |
1319 | | - "rbc_basic_model.simulated.loc[:50,['a','y']].plot(color=('k','red'), grid=True)\n", |
| 1314 | + "ax_ = ( 100*rbc_basic_model.simulated.loc[:50,['a','y']] ).plot(color=('k','red'), grid=True)\n", |
| 1315 | + "ax_.set_title('定常値からの%乖離', size=20)\n", |
1320 | 1316 | "pass" |
1321 | 1317 | ] |
1322 | 1318 | }, |
|
1821 | 1817 | }, |
1822 | 1818 | "outputs": [], |
1823 | 1819 | "source": [ |
1824 | | - "ax_ = rbc_model.irs['v'].plot(subplots=True,\n", |
1825 | | - " layout=(5,2),\n", |
1826 | | - " lw=3,\n", |
1827 | | - " figsize=(12,9),\n", |
1828 | | - " sharey=True,\n", |
1829 | | - " grid=True)\n", |
| 1820 | + "ax_ = ( 100*rbc_model.irs['v'] ).plot(subplots=True,\n", |
| 1821 | + " layout=(5,2),\n", |
| 1822 | + " lw=3,\n", |
| 1823 | + " figsize=(12,9),\n", |
| 1824 | + " sharey=True,\n", |
| 1825 | + " grid=True)\n", |
1830 | 1826 | "ax_[0,0].get_figure().suptitle('定常値からの%乖離',fontsize=20)\n", |
1831 | 1827 | "pass" |
1832 | 1828 | ] |
|
1976 | 1972 | "rbc_model.impulse(T=50, t0=5)\n", |
1977 | 1973 | "\n", |
1978 | 1974 | "# プロット\n", |
1979 | | - "ax_ = rbc_model.irs['v'].plot(subplots=True,\n", |
1980 | | - " layout=(3,3),\n", |
1981 | | - " lw=3,\n", |
1982 | | - " figsize=(12,7),\n", |
1983 | | - " # sharey=True,\n", |
1984 | | - " grid=True)\n", |
| 1975 | + "ax_ = ( 100*rbc_model.irs['v'] ).plot(subplots=True,\n", |
| 1976 | + " layout=(3,3),\n", |
| 1977 | + " lw=3,\n", |
| 1978 | + " figsize=(12,7),\n", |
| 1979 | + " # sharey=True,\n", |
| 1980 | + " grid=True)\n", |
1985 | 1981 | "ax_[0,0].get_figure().suptitle('定常値からの%乖離',fontsize=20)\n", |
1986 | 1982 | "pass" |
1987 | 1983 | ] |
|
2027 | 2023 | }, |
2028 | 2024 | "outputs": [], |
2029 | 2025 | "source": [ |
2030 | | - "ax_ = rbc_model.simulated[['a','y','c','i','k','l']].plot(subplots=True,\n", |
2031 | | - " layout=(2,3),\n", |
2032 | | - " figsize=(12,5),\n", |
2033 | | - " sharey=True,\n", |
2034 | | - " grid=True)\n", |
| 2026 | + "ax_ = ( 100*rbc_model.simulated[['a','y','c','i','k','l']] ).plot(subplots=True,\n", |
| 2027 | + " layout=(2,3),\n", |
| 2028 | + " figsize=(12,5),\n", |
| 2029 | + " sharey=True,\n", |
| 2030 | + " grid=True)\n", |
2035 | 2031 | "ax_[0,0].get_figure().suptitle('定常値からの%乖離',fontsize=20)\n", |
2036 | 2032 | "pass" |
2037 | 2033 | ] |
|
2063 | 2059 | }, |
2064 | 2060 | "outputs": [], |
2065 | 2061 | "source": [ |
2066 | | - "rbc_model.simulated.loc[:50,['a','y']].plot(color=('k','red'), grid=True)\n", |
| 2062 | + "ax_ = ( 100*rbc_model.simulated.loc[:50,['a','y']] ).plot(color=('k','red'), grid=True)\n", |
| 2063 | + "ax_.set_title('定常値からの%乖離', size=20)\n", |
2067 | 2064 | "pass" |
2068 | 2065 | ] |
2069 | 2066 | }, |
|
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