From 1df452f6bbe9f615beac1539debaf8a5acab8468 Mon Sep 17 00:00:00 2001
From: govin08 <govindah08@gmail.com>
Date: Thu, 14 Dec 2023 09:34:18 +0900
Subject: [PATCH] transition&offset2

---
 1214_transition&offset.ipynb | 74 +++++++++++++++++++-----------------
 1 file changed, 39 insertions(+), 35 deletions(-)

diff --git a/1214_transition&offset.ipynb b/1214_transition&offset.ipynb
index b288c0d..c4c98b6 100644
--- a/1214_transition&offset.ipynb
+++ b/1214_transition&offset.ipynb
@@ -70,7 +70,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\유아이네트웍스\\AppData\\Local\\Temp\\ipykernel_15316\\2359052046.py:15: DtypeWarning: Columns (0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "C:\\Users\\유아이네트웍스\\AppData\\Local\\Temp\\ipykernel_13548\\2359052046.py:15: DtypeWarning: Columns (0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23) have mixed types. Specify dtype option on import or set low_memory=False.\n",
       "  soitdopermap3 = pd.read_csv('soitdopermap3.csv')\n"
      ]
     }
@@ -195,6 +195,43 @@
     "sorted(list(hstr_1213.수집날짜시각.unique()))[-3:]"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "안정화된 수집시각의 차이\n",
+      " 0    37\n",
+      " 1    16\n",
+      "-1    12\n",
+      "-3     1\n",
+      " 3     1\n",
+      " 2     1\n",
+      "Name: count, dtype: int64\n",
+      "처음 여섯 현시시각의 차이(L1 norm)\n",
+      " 0    37\n",
+      " 1    16\n",
+      "-1    12\n",
+      "-3     1\n",
+      " 3     1\n",
+      " 2     1\n",
+      "Name: count, dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "differences = [value for sublist in diffs.values() for value in sublist.values()]\n",
+    "print(\"안정화된 수집시각의 차이\")\n",
+    "print(pd.Series(differences).value_counts())\n",
+    "print(\"처음 여섯 현시시각의 차이(L1 norm)\")\n",
+    "errors = [value for sublist in diffs.values() for value in sublist.values()]\n",
+    "print(pd.Series(errors).value_counts())"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 6,
@@ -28259,7 +28296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28270,39 +28307,6 @@
     "    display(hstrs[inter_no][start_time][13])\n",
     "# each_results(5031, '06:00')"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " 0    37\n",
-      " 1    16\n",
-      "-1    12\n",
-      "-3     1\n",
-      " 3     1\n",
-      " 2     1\n",
-      "Name: count, dtype: int64\n",
-      " 0    37\n",
-      " 1    16\n",
-      "-1    12\n",
-      "-3     1\n",
-      " 3     1\n",
-      " 2     1\n",
-      "Name: count, dtype: int64\n"
-     ]
-    }
-   ],
-   "source": [
-    "differences = [value for sublist in diffs.values() for value in sublist.values()]\n",
-    "print(pd.Series(differences).value_counts())\n",
-    "errors = [value for sublist in diffs.values() for value in sublist.values()]\n",
-    "print(pd.Series(errors).value_counts())"
-   ]
   }
  ],
  "metadata": {