{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "9296d4be-eb69-47a7-a3b4-d6111231e018",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'\\nExample on Cumulative Sum (CUSUM)\\n\\n@author: smriti.prathapan\\n'"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\"\"\"\n",
"Example on Cumulative Sum (CUSUM)\n",
"\n",
"@author: smriti.prathapan\n",
"\"\"\""
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "2a3c98bd",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import sys\n",
"import pandas as pd\n",
"from cusum import CUSUM"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "bd11f2ea",
"metadata": {},
"outputs": [],
"source": [
"# Absolute path to the metric file in CSV format\n",
"file_csv_metric = None # Use your own file here, else it will use /config/spec-60-60.csv\n",
"\n",
"# Normalized reference value for detecting a unit standard deviation change in mean of the process\n",
"ref_value = 0.5\n",
"# Normalized threshold value\n",
"normalized_threshold = 4"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "bd01cab4",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Change-point with respect to S_lo is: 60\n"
]
}
],
"source": [
"obj_cusum = CUSUM()\n",
"obj_cusum.initialize()\n",
"\n",
"if file_csv_metric is not None:\n",
" # upload CSV file\n",
" data_csv_metric = pd.read_csv(file_csv_metric.name)\n",
" obj_cusum.set_df_metric_csv(data_csv_metric)\n",
"else:\n",
" # use the example CSV data\n",
" obj_cusum.set_df_metric_default()\n",
"\n",
"# Set initial days and get in-control mean and standard deviation\n",
"obj_cusum.set_init_stats(init_days=30)\n",
"\n",
"# Detects a change in the process\n",
"obj_cusum.change_detection(\n",
" normalized_ref_value=ref_value,\n",
" normalized_threshold=normalized_threshold,\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "4ebf2fd5",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"marker": {
"color": "darkturquoise",
"size": 10
},
"mode": "markers",
"name": "In-control data",
"opacity": 0.4,
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59
],
"xaxis": "x",
"y": [
0.8426395939086294,
0.8913043478260869,
0.8826530612244898,
0.8308457711442786,
0.7679558011049724,
0.8444444444444444,
0.8306878306878307,
0.8308457711442786,
0.8936170212765957,
0.8138297872340425,
0.7747252747252747,
0.8052631578947368,
0.8090452261306532,
0.8317757009345794,
0.8958333333333334,
0.8306878306878307,
0.8556701030927835,
0.8387096774193549,
0.7894736842105263,
0.8563829787234043,
0.8186813186813187,
0.8306878306878307,
0.7918781725888325,
0.8823529411764706,
0.8737373737373737,
0.8666666666666667,
0.8518518518518519,
0.8659217877094972,
0.8232044198895028,
0.8764044943820225,
0.8167539267015707,
0.8478260869565217,
0.8363636363636363,
0.797752808988764,
0.8309859154929577,
0.875,
0.8,
0.8608247422680413,
0.8288770053475936,
0.8556149732620321,
0.8153846153846154,
0.859375,
0.8324607329842932,
0.9043062200956936,
0.8279569892473119,
0.8197674418604651,
0.7795698924731183,
0.8135593220338984,
0.8481675392670157,
0.8134715025906736,
0.7864583333333334,
0.8548387096774194,
0.8370786516853933,
0.7157360406091371,
0.8324607329842932,
0.8296703296703297,
0.8844221105527639,
0.7884615384615384,
0.935,
0.8840579710144928
],
"yaxis": "y"
},
{
"marker": {
"color": "coral",
"size": 10
},
"mode": "markers",
"name": "Out-of-control data",
"opacity": 0.4,
"type": "scatter",
"x": [
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119
],
"xaxis": "x",
"y": [
0.75,
0.8324607329842932,
0.7939698492462312,
0.7272727272727273,
0.8284313725490197,
0.7692307692307693,
0.8010204081632653,
0.8235294117647058,
0.7277486910994765,
0.775,
0.8361581920903954,
0.7959183673469388,
0.8489583333333334,
0.8465346534653465,
0.812807881773399,
0.7475247524752475,
0.8491620111731844,
0.6989247311827957,
0.7967914438502673,
0.7236180904522613,
0.746031746031746,
0.7371428571428571,
0.7839195979899497,
0.7921348314606742,
0.8258706467661692,
0.8121827411167513,
0.8258426966292135,
0.7675675675675676,
0.6666666666666666,
0.7872340425531915,
0.8325123152709359,
0.8247422680412371,
0.7619047619047619,
0.7967032967032966,
0.867816091954023,
0.8010471204188482,
0.625,
0.7684210526315789,
0.7409326424870466,
0.7593582887700535,
0.8041237113402062,
0.8160919540229885,
0.803030303030303,
0.6898395721925134,
0.7037037037037037,
0.8219895287958116,
0.8153846153846154,
0.712707182320442,
0.7548076923076923,
0.8258426966292135,
0.8,
0.7444444444444445,
0.7604166666666666,
0.7446808510638298,
0.7845303867403315,
0.7616279069767442,
0.7525773195876289,
0.7213930348258707,
0.8222222222222222,
0.817258883248731
],
"yaxis": "y"
},
{
"line": {
"color": "darkturquoise",
"dash": "dash"
},
"mode": "lines",
"name": "In-control mean",
"type": "scatter",
"x": [
0,
59
],
"xaxis": "x",
"y": [
0.8368330003971066,
0.8368330003971066
],
"yaxis": "y"
},
{
"line": {
"color": "coral",
"dash": "dash"
},
"mode": "lines",
"name": "Out-of-control mean",
"type": "scatter",
"x": [
60,
119
],
"xaxis": "x",
"y": [
0.7794127721177365,
0.7794127721177365
],
"yaxis": "y"
},
{
"line": {
"color": "grey",
"dash": "dash"
},
"mode": "lines",
"name": "Change-point",
"type": "scatter",
"x": [
60,
60
],
"xaxis": "x",
"y": [
0.625,
0.935
],
"yaxis": "y"
},
{
"marker": {
"color": "mediumturquoise"
},
"nbinsy": 15,
"opacity": 0.4,
"orientation": "h",
"showlegend": false,
"type": "histogram",
"xaxis": "x2",
"y": [
0.8426395939086294,
0.8913043478260869,
0.8826530612244898,
0.8308457711442786,
0.7679558011049724,
0.8444444444444444,
0.8306878306878307,
0.8308457711442786,
0.8936170212765957,
0.8138297872340425,
0.7747252747252747,
0.8052631578947368,
0.8090452261306532,
0.8317757009345794,
0.8958333333333334,
0.8306878306878307,
0.8556701030927835,
0.8387096774193549,
0.7894736842105263,
0.8563829787234043,
0.8186813186813187,
0.8306878306878307,
0.7918781725888325,
0.8823529411764706,
0.8737373737373737,
0.8666666666666667,
0.8518518518518519,
0.8659217877094972,
0.8232044198895028,
0.8764044943820225,
0.8167539267015707,
0.8478260869565217,
0.8363636363636363,
0.797752808988764,
0.8309859154929577,
0.875,
0.8,
0.8608247422680413,
0.8288770053475936,
0.8556149732620321,
0.8153846153846154,
0.859375,
0.8324607329842932,
0.9043062200956936,
0.8279569892473119,
0.8197674418604651,
0.7795698924731183,
0.8135593220338984,
0.8481675392670157,
0.8134715025906736,
0.7864583333333334,
0.8548387096774194,
0.8370786516853933,
0.7157360406091371,
0.8324607329842932,
0.8296703296703297,
0.8844221105527639,
0.7884615384615384,
0.935,
0.8840579710144928
],
"yaxis": "y2"
},
{
"marker": {
"color": "coral"
},
"nbinsy": 15,
"opacity": 0.4,
"orientation": "h",
"showlegend": false,
"type": "histogram",
"xaxis": "x2",
"y": [
0.75,
0.8324607329842932,
0.7939698492462312,
0.7272727272727273,
0.8284313725490197,
0.7692307692307693,
0.8010204081632653,
0.8235294117647058,
0.7277486910994765,
0.775,
0.8361581920903954,
0.7959183673469388,
0.8489583333333334,
0.8465346534653465,
0.812807881773399,
0.7475247524752475,
0.8491620111731844,
0.6989247311827957,
0.7967914438502673,
0.7236180904522613,
0.746031746031746,
0.7371428571428571,
0.7839195979899497,
0.7921348314606742,
0.8258706467661692,
0.8121827411167513,
0.8258426966292135,
0.7675675675675676,
0.6666666666666666,
0.7872340425531915,
0.8325123152709359,
0.8247422680412371,
0.7619047619047619,
0.7967032967032966,
0.867816091954023,
0.8010471204188482,
0.625,
0.7684210526315789,
0.7409326424870466,
0.7593582887700535,
0.8041237113402062,
0.8160919540229885,
0.803030303030303,
0.6898395721925134,
0.7037037037037037,
0.8219895287958116,
0.8153846153846154,
0.712707182320442,
0.7548076923076923,
0.8258426966292135,
0.8,
0.7444444444444445,
0.7604166666666666,
0.7446808510638298,
0.7845303867403315,
0.7616279069767442,
0.7525773195876289,
0.7213930348258707,
0.8222222222222222,
0.817258883248731
],
"yaxis": "y2"
},
{
"line": {
"color": "mediumturquoise",
"dash": "dash"
},
"mode": "lines",
"showlegend": false,
"type": "scatter",
"x": [
0,
20
],
"xaxis": "x2",
"y": [
0.8368330003971066,
0.8368330003971066
],
"yaxis": "y2"
}
],
"layout": {
"barmode": "overlay",
"legend": {
"orientation": "h",
"x": 1,
"xanchor": "right",
"y": 1.02,
"yanchor": "bottom"
},
"plot_bgcolor": "#F3F9FC",
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"font": {
"size": 20,
"weight": "bold"
},
"text": "Pre- and post-change observations and their respective histograms"
},
"xaxis": {
"anchor": "y",
"domain": [
0,
0.6859999999999999
],
"dtick": 20,
"title": {
"font": {
"size": 18,
"weight": "bold"
},
"text": "Time"
}
},
"xaxis2": {
"anchor": "y2",
"domain": [
0.706,
1
],
"title": {
"font": {
"size": 18,
"weight": "bold"
},
"text": "Count"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"font": {
"size": 18,
"weight": "bold"
},
"text": "AI model metric"
}
},
"yaxis2": {
"anchor": "x2",
"domain": [
0,
1
],
"matches": "y",
"showticklabels": false
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Average metric for the pre-change and post-change regime\n",
"obj_cusum.plot_input_metric_plotly()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "a59e8b44",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"marker": {
"color": "greenyellow",
"size": 10
},
"mode": "lines",
"name": "Positive changes (Shi)",
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119
],
"y": [
0,
0.8762097534279534,
1.7524195068559068,
0.8762097534279534,
0,
0,
0,
0,
1.1682796712372712,
0,
0,
0,
0,
0,
1.1682796712372712,
0.2920699178093178,
0.2920699178093178,
0,
0,
0,
0,
0,
0,
0.8762097534279534,
1.1682796712372712,
1.4603495890465892,
1.4603495890465892,
1.7524195068559068,
0.5841398356186356,
1.1682796712372712,
0,
0,
0,
0,
0,
0.5841398356186356,
0,
0,
0,
0,
0,
0,
0,
1.4603495890465892,
0.5841398356186356,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.8762097534279534,
0,
2.3365593424745423,
2.9206991780931784,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0.2920699178093178,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
]
},
{
"marker": {
"color": "darkcyan",
"size": 10
},
"mode": "lines",
"name": "Negative changes (Slo)",
"type": "scatter",
"x": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43,
44,
45,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
112,
113,
114,
115,
116,
117,
118,
119
],
"y": [
0,
0,
0,
0,
1.4603495890465892,
0.8762097534279534,
0.8762097534279534,
0.5841398356186356,
0,
0.2920699178093178,
1.7524195068559068,
2.0444894246652248,
2.62862926028386,
2.3365593424745423,
0.2920699178093178,
0,
0,
0,
0.8762097534279534,
0,
0,
0,
0.8762097534279534,
0,
0,
0,
0,
0,
0,
0,
0.2920699178093178,
0,
0,
0.8762097534279534,
0.5841398356186356,
0,
0.5841398356186356,
0,
0,
0,
0.2920699178093178,
0,
0,
0,
0,
0,
1.4603495890465892,
1.7524195068559068,
0.8762097534279534,
1.1682796712372712,
2.3365593424745423,
1.1682796712372712,
0.8762097534279534,
4.0889788493304495,
3.7969089315211315,
3.5048390137118135,
1.7524195068559068,
2.62862926028386,
0,
0,
2.0444894246652248,
1.7524195068559068,
2.62862926028386,
5.549328438377038,
5.25725852056772,
7.009678027423627,
7.593817863042263,
7.593817863042263,
10.222447123326122,
11.682796712372713,
11.390726794563394,
11.97486663018203,
11.390726794563394,
10.51451704113544,
10.806586958944758,
13.143146301419302,
12.266936547991348,
16.06384547951248,
16.647985315131113,
19.568684493224293,
21.905243835698833,
24.241803178173377,
25.41008284941065,
26.286292602838603,
26.286292602838603,
26.57836252064792,
26.57836252064792,
28.038712109694508,
32.711830794643596,
33.58804054807155,
33.295970630262225,
33.295970630262225,
35.04839013711813,
35.92459989054609,
34.4642503014995,
35.340460054927455,
40.889788493304486,
42.642208000160394,
44.97876734263494,
46.731186849490854,
47.31532668510949,
47.6073966029188,
48.19153643853743,
51.98844537005857,
55.49328438377038,
55.49328438377038,
55.785354301579694,
58.998123397482196,
61.04261282214742,
60.750542904338104,
61.626752657766055,
63.9633120002406,
65.7157315070965,
68.05229084957105,
68.928500602999,
70.97299002766422,
73.01747945232945,
75.93817863042263,
75.93817863042263,
75.93817863042263
]
},
{
"line": {
"color": "skyblue",
"dash": "dash"
},
"mode": "lines",
"name": "Threshold (h)",
"type": "scatter",
"x": [
0,
120
],
"y": [
4,
4
]
},
{
"line": {
"color": "grey",
"dash": "dash"
},
"mode": "lines",
"name": "Change-point",
"type": "scatter",
"x": [
60,
60
],
"y": [
0,
75.93817863042263
]
}
],
"layout": {
"legend": {
"orientation": "h",
"x": 1,
"xanchor": "right",
"y": 1.02,
"yanchor": "bottom"
},
"plot_bgcolor": "#F3F9FC",
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
},
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"pattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"fillpattern": {
"fillmode": "overlay",
"size": 10,
"solidity": 0.2
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#EBF0F8"
},
"line": {
"color": "white"
}
},
"header": {
"fill": {
"color": "#C8D4E3"
},
"line": {
"color": "white"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#2a3f5f",
"arrowhead": 0,
"arrowwidth": 1
},
"autotypenumbers": "strict",
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#2a3f5f"
},
"geo": {
"bgcolor": "white",
"lakecolor": "white",
"landcolor": "#E5ECF6",
"showlakes": true,
"showland": true,
"subunitcolor": "white"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "light"
},
"paper_bgcolor": "white",
"plot_bgcolor": "#E5ECF6",
"polar": {
"angularaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"radialaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"yaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
},
"zaxis": {
"backgroundcolor": "#E5ECF6",
"gridcolor": "white",
"gridwidth": 2,
"linecolor": "white",
"showbackground": true,
"ticks": "",
"zerolinecolor": "white"
}
},
"shapedefaults": {
"line": {
"color": "#2a3f5f"
}
},
"ternary": {
"aaxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"baxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
},
"bgcolor": "#E5ECF6",
"caxis": {
"gridcolor": "white",
"linecolor": "white",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"xaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "white",
"linecolor": "white",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "white",
"zerolinewidth": 2
}
}
},
"title": {
"font": {
"size": 20,
"weight": "bold"
},
"text": "CUSUM Chart"
},
"xaxis": {
"dtick": 20,
"title": {
"font": {
"size": 18,
"weight": "bold"
},
"text": "Time"
}
},
"yaxis": {
"title": {
"font": {
"size": 18,
"weight": "bold"
},
"text": "CUSUM value"
}
}
}
},
"image/png": "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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# CUSUM Chart\n",
"obj_cusum.plot_cusum_plotly()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.0"
}
},
"nbformat": 4,
"nbformat_minor": 5
}