@ -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": {
