{ "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 ], "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 ] }, { "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 ], "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 ] }, { "line": { "color": "darkturquoise", "dash": "dash" }, "mode": "lines", "name": "In-control mean", "type": "scatter", "x": [ 0, 59 ], "y": [ 0.8368330003971066, 0.8368330003971066 ] }, { "line": { "color": "coral", "dash": "dash" }, "mode": "lines", "name": "Out-of-control mean", "type": "scatter", "x": [ 60, 119 ], "y": [ 0.7794127721177365, 0.7794127721177365 ] }, { "line": { "color": "grey", "dash": "dash" }, "mode": "lines", "name": "Change-point", "type": "scatter", "x": [ 60, 60 ], "y": [ 0.625, 0.935 ] } ], "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": "Pre- and post-change observations" }, "xaxis": { "dtick": 20, "title": { "font": { "size": 18, "weight": "bold" }, "text": "Time" } }, "yaxis": { "title": { "font": { "size": 18, "weight": "bold" }, "text": "AI model metric" } } } }, "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": "rgb(0, 209, 209)", "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": "rgb(250, 0, 125)", "dash": "dash" }, "mode": "lines", "name": "Threshold (h)", "type": "scatter", "x": [ 0, 120 ], "y": [ 4, 4 ] } ], "layout": { "legend": { "orientation": "h", "x": 1, "xanchor": "right", "y": 1.02, "yanchor": "bottom" }, "shapes": [ { "fillcolor": "#F3F9FC", "layer": "below", "line": { "width": 0 }, "opacity": 0.8, "type": "rect", "x0": 0, "x1": 60, "xref": "x", "y0": 0, "y1": 1, "yref": "paper" }, { "fillcolor": "rgb(253, 243, 235)", "layer": "below", "line": { "width": 0 }, "opacity": 0.8, "type": "rect", "x0": 60, "x1": 120, "xref": "x", "y0": 0, "y1": 1, "yref": "paper" } ], "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 }