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Implement Open in Google Colab #60

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d5073d7
DOC: Add faq
fumitoh Dec 9, 2023
9abe5bd
DOC: Remove blockdiag
fumitoh Dec 10, 2023
5f43daa
DOC: Create quickstart dir
fumitoh Dec 10, 2023
8fa4568
DOC: Update quickstart
fumitoh Dec 10, 2023
3164452
DIST: Update required modelx version
fumitoh Dec 10, 2023
c55640e
DOC: Add FAQ on xlwings
fumitoh Dec 12, 2023
874bbc8
TST: Test notebook on colab
fumitoh Dec 16, 2023
dc0c2f8
TST: Update test notebook on colab
fumitoh Dec 16, 2023
c6302f4
TST: Update test notebook on colab
fumitoh Dec 16, 2023
3887d82
TST: Update test notebook on colab
fumitoh Dec 16, 2023
f0c45bf
TST: Update test notebook on colab
fumitoh Dec 16, 2023
15b106d
ENH: Update notebooks for colab
fumitoh Dec 16, 2023
72ff7da
DOC: Update docs for google colab
fumitoh Dec 23, 2023
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31 changes: 30 additions & 1 deletion lifelib/libraries/assets/generate_bond_data.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,35 @@
"* 1000\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Click the badge below to run this notebook online on Google Colab. You need a Google account and need to be logged in to it to run this notebook on Google Colab.\n",
"[![Run on Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/lifelib-dev/lifelib/blob/current/lifelib/libraries/assets/generate_bond_data.ipynb)\n",
"\n",
"\n",
"The next code cell below is relevant only when you run this notebook on Google Colab. It installs lifelib and creates a copy of the library for this notebook."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import sys, os\n",
"\n",
"if 'google.colab' in sys.modules:\n",
" lib = 'assets'; lib_dir = '/content/'+ lib\n",
" if not os.path.exists(lib_dir):\n",
" !pip install lifelib\n",
" !pip install QuantLib\n",
" import lifelib; lifelib.create(lib, lib_dir)\n",
" \n",
" %cd $lib_dir"
]
},
{
"cell_type": "code",
"execution_count": 7,
Expand Down Expand Up @@ -355,7 +384,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.7"
"version": "3.10.13"
}
},
"nbformat": 4,
Expand Down
150 changes: 95 additions & 55 deletions lifelib/libraries/basiclife/create_premium_table.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,8 @@
"id": "53bfe3af",
"metadata": {},
"source": [
"\n",
"\n",
"This notebook shows how to create the premium table from `BasicTerm_M` model to be used in `BasicTerm_SE` and `BasicTerm_ME`.\n",
"\n",
"To calculate premiums, the present values of claims and annuities need to be taken at the beginning of the policy terms,\n",
Expand All @@ -26,12 +28,50 @@
"* Read the `BasicTerm_M` model.\n",
"* Replace the model point table with the one for the premium table. By default, the premium rates vary only by `age_at_entry` and `policy_term`. The range of `age_at_entry` is 20 to 59, and `policy_term` takes the value of either 10, 15 or 20. The model point data for the premium table is created from the combinations of the two attributes.\n",
"* Calculate per-policy premiums for the model points.\n",
"* Create the premium table by processing the result of the above.\n"
"* Create the premium table by processing the result of the above."
]
},
{
"cell_type": "markdown",
"id": "66e2145f",
"metadata": {},
"source": [
"Click the badge below to run this notebook online on Google Colab. You need a Google account and need to be logged in to it to run this notebook on Google Colab.\n",
"[![Run on Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/lifelib-dev/lifelib/blob/current/lifelib/libraries/basiclife/create_premium_table.ipynb)\n",
"\n",
"\n",
"The next code cell below is relevant only when you run this notebook on Google Colab. It installs lifelib and creates a copy of the library for this notebook."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "ef2f6f0a",
"metadata": {},
"outputs": [],
"source": [
"import sys, os\n",
"\n",
"if 'google.colab' in sys.modules:\n",
" lib = 'basiclife'; lib_dir = '/content/'+ lib\n",
" if not os.path.exists(lib_dir):\n",
" !pip install lifelib\n",
" import lifelib; lifelib.create(lib, lib_dir)\n",
" \n",
" %cd $lib_dir"
]
},
{
"cell_type": "markdown",
"id": "69e7aed3",
"metadata": {},
"source": [
"The next code imports the necessary Python modules."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "71da5b1f",
"metadata": {},
"outputs": [],
Expand All @@ -51,7 +91,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 3,
"id": "cd4d5b2b",
"metadata": {},
"outputs": [],
Expand All @@ -71,7 +111,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 4,
"id": "00d461d2",
"metadata": {},
"outputs": [
Expand Down Expand Up @@ -109,67 +149,67 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td>1</td>\n",
" <th>1</th>\n",
" <td>20</td>\n",
" <td>10</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <td>2</td>\n",
" <th>2</th>\n",
" <td>20</td>\n",
" <td>15</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <td>3</td>\n",
" <th>3</th>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <td>4</td>\n",
" <th>4</th>\n",
" <td>21</td>\n",
" <td>10</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <td>5</td>\n",
" <th>5</th>\n",
" <td>21</td>\n",
" <td>15</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <td>...</td>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <td>116</td>\n",
" <th>116</th>\n",
" <td>58</td>\n",
" <td>15</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <td>117</td>\n",
" <th>117</th>\n",
" <td>58</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <td>118</td>\n",
" <th>118</th>\n",
" <td>59</td>\n",
" <td>10</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <td>119</td>\n",
" <th>119</th>\n",
" <td>59</td>\n",
" <td>15</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <td>120</td>\n",
" <th>120</th>\n",
" <td>59</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
Expand Down Expand Up @@ -197,7 +237,7 @@
"[120 rows x 3 columns]"
]
},
"execution_count": 3,
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -220,7 +260,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 5,
"id": "9d4cae36",
"metadata": {},
"outputs": [],
Expand All @@ -239,7 +279,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 6,
"id": "7af10c19",
"metadata": {},
"outputs": [
Expand All @@ -265,7 +305,7 @@
" return np.around((1 + loading_prem()) * net_premium_pp(), 2)"
]
},
"execution_count": 5,
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -276,7 +316,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 7,
"id": "0eb44b4d",
"metadata": {},
"outputs": [],
Expand All @@ -288,46 +328,46 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 8,
"id": "a2ee55a0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([4.64097542e-05, 5.20142069e-05, 5.74162410e-05, 4.76584950e-05,\n",
" 5.35875249e-05, 5.93504754e-05, 4.90032815e-05, 5.52810109e-05,\n",
" 6.14332619e-05, 5.04508083e-05, 5.71035347e-05, 6.36761718e-05,\n",
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" 2.16715197e-04, 2.67878332e-04, 1.85462240e-04, 2.32651824e-04,\n",
" 2.88835763e-04, 1.98562080e-04, 2.50135419e-04, 3.11902899e-04,\n",
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" 3.98765135e-04, 5.10370897e-04, 3.33851788e-04, 4.33275832e-04,\n",
" 5.56897468e-04, 3.61748118e-04, 4.71481528e-04, 6.08543708e-04])"
"array([4.64097874e-05, 5.20142609e-05, 5.74163309e-05, 4.76585304e-05,\n",
" 5.35875832e-05, 5.93505736e-05, 4.90033193e-05, 5.52810740e-05,\n",
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" 1.03641583e-04, 7.93484996e-05, 9.37355878e-05, 1.09272355e-04,\n",
" 8.31345102e-05, 9.85811110e-05, 1.15378012e-04, 8.72231632e-05,\n",
" 1.03825787e-04, 1.22004196e-04, 9.16416996e-05, 1.09506983e-04,\n",
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" 1.01592029e-04, 1.22349075e-04, 1.45541457e-04, 1.07193980e-04,\n",
" 1.29606875e-04, 1.54816273e-04, 1.13266925e-04, 1.37496152e-04,\n",
" 1.64928569e-04, 1.19856171e-04, 1.46079913e-04, 1.75964954e-04,\n",
" 1.27012023e-04, 1.55428306e-04, 1.88022101e-04, 1.34790385e-04,\n",
" 1.65619502e-04, 2.01208012e-04, 1.43253447e-04, 1.76740699e-04,\n",
" 2.15643451e-04, 1.52470461e-04, 1.88889258e-04, 2.31463569e-04,\n",
" 1.62518620e-04, 2.02173994e-04, 2.48819743e-04, 1.73484055e-04,\n",
" 2.16716638e-04, 2.67881664e-04, 1.85462968e-04, 2.32653505e-04,\n",
" 2.88839696e-04, 1.98562923e-04, 2.50137387e-04, 3.11907554e-04,\n",
" 2.12904306e-04, 2.69339702e-04, 3.37325333e-04, 2.28622001e-04,\n",
" 2.90452947e-04, 3.65362941e-04, 2.45867287e-04, 3.13693489e-04,\n",
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" 2.85641059e-04, 3.67560794e-04, 4.68425846e-04, 3.08575204e-04,\n",
" 3.98770509e-04, 5.10384491e-04, 3.33854326e-04, 4.33282251e-04,\n",
" 5.56913884e-04, 3.61751124e-04, 4.71489217e-04, 6.08563590e-04])"
]
},
"execution_count": 7,
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -347,7 +387,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 9,
"id": "7bf4d583",
"metadata": {},
"outputs": [
Expand All @@ -369,7 +409,7 @@
"Name: premium_rate, Length: 120, dtype: float64"
]
},
"execution_count": 8,
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -385,7 +425,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -399,7 +439,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.4"
"version": "3.10.13"
}
},
"nbformat": 4,
Expand Down
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