Added more clarity on the dates in the multi trend example

Author: kennethshsu

docs/user_guide/adjustments.ipynb

@@ -657,7 +657,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "id": "252ed464-a589-4a09-9bc7-937c4b0a8529",
    "metadata": {},
    "outputs": [
@@ -704,7 +704,7 @@
        "2020  1.034456"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -713,7 +713,7 @@
     "data = pd.DataFrame({\n",
     "    'Year': [2016, 2017, 2018, 2019, 2020],\n",
     "    'EarnedPremium': [10_000]*5})\n",
-    "prem_tri = cl.Triangle(data, origin='Year', columns='EarnedPremium')\n",
+    "prem_tri = cl.Triangle(data, origin='Year', columns='EarnedPremium', cumulative = True)\n",
     "prem_tri = cl.ParallelogramOLF(rate_history, change_col='RateChange', date_col='EffDate').fit_transform(prem_tri)\n",
     "prem_tri.olf_"
    ]
@@ -757,7 +757,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "id": "af652141-0a29-4dcf-9807-18f252c6cd3c",
    "metadata": {},
    "outputs": [
@@ -767,7 +767,7 @@
        "True"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -801,7 +801,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "id": "dae2933e-864f-4d42-a866-e3fda52d1f2a",
    "metadata": {},
    "outputs": [
@@ -972,7 +972,7 @@
        "1997  1.00   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -981,22 +981,14 @@
     "ppauto_loss = cl.load_sample('clrd').groupby('LOB').sum().loc['ppauto', 'CumPaidLoss']\n",
     "cl.Trend(\n",
     "    trends=[.05, .03],\n",
-    "    dates=[('1997-12-31', '1995'),('1995', '1992-07')]\n",
+    "    dates=[('1997-12-31', '1995-01-01'),('1995-01-01', '1992-07-01')]\n",
     ").fit(ppauto_loss).trend_.round(2)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "eaaf2ea2-cf4e-4549-ae83-4f1b6476e30e",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.7.11 ('cl_dev')",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1010,7 +1002,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.11"
+   "version": "3.9.12"
   },
   "vscode": {
    "interpreter": {