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minjk-bl
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Seaborn chart app prototype
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Lines changed: 693 additions & 21 deletions

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‎css/m_apps/chartTest.css‎

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.vp-chart-setting {
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float: right;
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color: var(--gray-color);
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padding-right: 5px;
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cursor: pointer;
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}
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.vp-tab-bar {
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width: 100%;
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overflow-y: hidden;
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}
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.vp-tab-item {
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display: inline-block;
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position: relative;
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width: 85px;
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height: 30px;
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line-height: 30px;
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background: var(--light-gray-color);
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cursor: pointer;
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border: 0.24px solid #E4E4E4;
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box-sizing: border-box;
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border-radius: 2px 2px 0px 0px;
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font-weight: bold;
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text-align: center;
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}
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.vp-tab-item.vp-focus {
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color: var(--font-hightlight);
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background: white;
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border-bottom: 3px solid #FFCF73;
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}
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.vp-tab-page {
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width: 100%;
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height: 180px;
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}
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.vp-chart-left-box,
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.vp-chart-right-box {
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padding: 3px;
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height: 250px;
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}
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.vp-chart-preview-box {
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min-height: 150px;
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}

‎css/root.css‎

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}
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/* Input & Select Design - width m&s */
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.vp-input.l,
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.vp-select.l {
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width: 232px !important;
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}
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.vp-input.m,
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.vp-select.m {
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width: 116px;
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width: 116px !important;
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}
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.vp-input.s,
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.vp-select.s {
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width: 55px;
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width: 55px !important;
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}
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/* Buttons */

‎data/libraries.json‎

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"color": 4,
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"icon": "apps/apps_profiling.svg"
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}
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},
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{
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"id" : "apps_chartTest",
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"type" : "function",
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"level": 1,
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"name" : "Chart Test",
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"tag" : "CHART TEST,APPS",
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"path" : "visualpython - apps - charttest",
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"desc" : "Chart Test",
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"file" : "m_apps/ChartTest",
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"apps" : {
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"color": 4,
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"icon": "apps/apps_chart.svg"
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}
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}
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]
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},

‎data/m_apps/chartLibrary.js‎

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define([
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], function () {
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/**
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* name
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* library
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* description
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* code
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* options: [
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* {
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* name
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* label
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* [optional]
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* component :
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* - 1darr / 2darr / ndarr / scalar / param / dtype / tabblock
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* default
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* required
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* usePair
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* code
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* }
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* ]
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*/
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var CHART_LIBRARIES = {
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/** Relational plots */
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'scatterplot': {
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name: 'Scatter Plot',
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code: '${allocateTo} = sns.scatterplot(${data}${x}${y}${hue}${etc})',
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description: 'Draw a scatter plot with possibility of several semantic groupings.',
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options: [
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{ name: 'data', component: ['var_select'], var_type: ['DataFrame', 'Series', 'list'], usePair: true },
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{ name: 'x', component: ['col_select'], usePair: true },
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{ name: 'y', component: ['col_select'], usePair: true },
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{ name: 'hue', component: ['col_select'], usePair: true },
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{ name: 'allocateTo', label: 'Allocate To', component: ['input'], usePair: true }
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]
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},
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'lineplot': {
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name: 'Line Plot',
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code: '${allocateTo} = sns.lineplot(${data}${x}${y}${hue}${etc})',
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description: 'Draw a line plot with possibility of several semantic groupings.',
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options: [
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{ name: 'data', component: ['var_select'], var_type: ['DataFrame', 'Series', 'list'], usePair: true },
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{ name: 'x', component: ['col_select'], usePair: true },
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{ name: 'y', component: ['col_select'], usePair: true },
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{ name: 'hue', component: ['col_select'], usePair: true },
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{ name: 'allocateTo', label: 'Allocate To', component: ['input'], usePair: true }
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]
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},
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/** Distribution plots */
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'histplot': {
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name: 'Histogram Plot',
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code: '${allocateTo} = sns.histplot(${data}${x}${y}${hue}${etc})',
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description: 'Plot univariate or bivariate histograms to show distributions of datasets.',
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options: [
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{ name: 'data', component: ['var_select'], var_type: ['DataFrame', 'Series', 'list'], usePair: true },
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{ name: 'x', component: ['col_select'], usePair: true },
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{ name: 'y', component: ['col_select'], usePair: true },
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{ name: 'hue', component: ['col_select'], usePair: true },
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{ name: 'allocateTo', label: 'Allocate To', component: ['input'], usePair: true }
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]
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},
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'kdeplot': {
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name: 'Kernel Density Plot',
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code: '${allocateTo} = sns.kdeplot(${data}${x}${y}${hue}${etc})',
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description: 'Plot univariate or bivariate distributions using kernel density estimation.',
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options: [
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{ name: 'data', component: ['var_select'], var_type: ['DataFrame', 'Series', 'list'], usePair: true },
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{ name: 'x', component: ['col_select'], usePair: true },
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{ name: 'y', component: ['col_select'], usePair: true },
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{ name: 'hue', component: ['col_select'], usePair: true },
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{ name: 'allocateTo', label: 'Allocate To', component: ['input'], usePair: true }
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]
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},
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'ecdfplot': {
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name: 'Empirical Cumulative Distribution Plot',
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code: '${allocateTo} = sns.ecdfplot(${data}${x}${y}${hue}${etc})',
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description: 'Plot empirical cumulative distribution functions.',
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options: [
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{ name: 'data', component: ['var_select'], var_type: ['DataFrame', 'Series', 'list'], usePair: true },
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{ name: 'x', component: ['col_select'], usePair: true },
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{ name: 'y', component: ['col_select'], usePair: true },
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{ name: 'hue', component: ['col_select'], usePair: true },
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{ name: 'allocateTo', label: 'Allocate To', component: ['input'], usePair: true }
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]
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},
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'rugplot': {
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name: 'Rug Plot',
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code: '${allocateTo} = sns.rugplot(${data}${x}${y}${hue}${etc})',
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description: 'Plot marginal distributions by drawing ticks along the x and y axes.',
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options: [
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{ name: 'data', component: ['var_select'], var_type: ['DataFrame', 'Series', 'list'], usePair: true },
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{ name: 'x', component: ['col_select'], usePair: true },
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{ name: 'y', component: ['col_select'], usePair: true },
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{ name: 'hue', component: ['col_select'], usePair: true },
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{ name: 'allocateTo', label: 'Allocate To', component: ['input'], usePair: true }
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]
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},
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/** Categorical plots */
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'stripplot': {
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name: 'Strip Plot',
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code: '${allocateTo} = sns.stripplot(${data}${x}${y}${hue}${etc})',
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description: 'Draw a scatterplot where one variable is categorical.',
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options: [
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{ name: 'data', component: ['var_select'], var_type: ['DataFrame', 'Series', 'list'], usePair: true },
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{ name: 'x', component: ['col_select'], usePair: true },
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{ name: 'y', component: ['col_select'], usePair: true },
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{ name: 'hue', component: ['col_select'], usePair: true },
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{ name: 'allocateTo', label: 'Allocate To', component: ['input'], usePair: true }
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]
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},
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'swarmplot': {
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name: 'Swarm Plot',
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code: '${allocateTo} = sns.swarmplot(${data}${x}${y}${hue}${etc})',
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description: 'Draw a categorical scatterplot with non-overlapping points.',
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options: [
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{ name: 'data', component: ['var_select'], var_type: ['DataFrame', 'Series', 'list'], usePair: true },
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{ name: 'x', component: ['col_select'], usePair: true },
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{ name: 'y', component: ['col_select'], usePair: true },
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{ name: 'hue', component: ['col_select'], usePair: true },
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{ name: 'allocateTo', label: 'Allocate To', component: ['input'], usePair: true }
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]
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},
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'boxplot': {
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name: 'Box Plot',
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code: '${allocateTo} = sns.boxplot(${data}${x}${y}${hue}${etc})',
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description: 'Draw a box plot to show distributions with respect to categories.',
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options: [
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{ name: 'data', component: ['var_select'], var_type: ['DataFrame', 'Series', 'list'], usePair: true },
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{ name: 'x', component: ['col_select'], usePair: true },
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{ name: 'y', component: ['col_select'], usePair: true },
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{ name: 'hue', component: ['col_select'], usePair: true },
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{ name: 'allocateTo', label: 'Allocate To', component: ['input'], usePair: true }
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]
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},
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'violinplot': {
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name: 'Violin Plot',
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code: '${allocateTo} = sns.violinplot(${data}${x}${y}${hue}${etc})',
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description: 'Draw a combination of boxplot and kernel density estimate.',
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options: [
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{ name: 'data', component: ['var_select'], var_type: ['DataFrame', 'Series', 'list'], usePair: true },
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{ name: 'x', component: ['col_select'], usePair: true },
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{ name: 'y', component: ['col_select'], usePair: true },
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{ name: 'hue', component: ['col_select'], usePair: true },
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{ name: 'allocateTo', label: 'Allocate To', component: ['input'], usePair: true }
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]
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},
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'pointplot': {
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name: 'Point Plot',
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code: '${allocateTo} = sns.pointplot(${data}${x}${y}${hue}${etc})',
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description: 'Show point estimates and confidence intervals using scatter plot glyphs.',
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options: [
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{ name: 'data', component: ['var_select'], var_type: ['DataFrame', 'Series', 'list'], usePair: true },
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{ name: 'x', component: ['col_select'], usePair: true },
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{ name: 'y', component: ['col_select'], usePair: true },
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{ name: 'hue', component: ['col_select'], usePair: true },
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{ name: 'allocateTo', label: 'Allocate To', component: ['input'], usePair: true }
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]
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},
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'barplot': {
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name: 'Bar Plot',
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code: '${allocateTo} = sns.barplot(${data}${x}${y}${hue}${etc})',
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description: 'Show point estimates and confidence intervals as rectangular bars.',
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options: [
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{ name: 'data', component: ['var_select'], var_type: ['DataFrame', 'Series', 'list'], usePair: true },
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{ name: 'x', component: ['col_select'], usePair: true },
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{ name: 'y', component: ['col_select'], usePair: true },
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{ name: 'hue', component: ['col_select'], usePair: true },
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{ name: 'allocateTo', label: 'Allocate To', component: ['input'], usePair: true }
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]
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},
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}
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return CHART_LIBRARIES;
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});

‎html/m_apps/chartTest.html‎

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<body>
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<div class="vp-grid-col-p50" style="height:270px;">
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<!-- Chart & Data Selection Box-->
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<div class="vp-chart-left-box">
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<div class="vp-bold">
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Chart Type
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<span id="chartSetting" class="vp-chart-setting vp-no-selection">
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<i class="fa fa-gear"></i> Setting
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</span>
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</div>
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<div class="vp-grid-border-box vp-grid-col-95">
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<label for="chartType" class="vp-orange-text">Type of Chart</label>
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<select id="chartType" class="vp-select vp-state">
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</select>
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</div>
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<div class="vp-bold">Data Selection</div>
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<div class="vp-grid-border-box vp-grid-col-95">
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<label for="data" class="vp-orange-text">Variable</label>
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<input type="text" id="data" class="vp-input vp-state" />
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<label for="x" class="vp-orange-text">X Value</label>
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<select id="x" class="vp-select">
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</select>
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<label for="y" class="vp-orange-text">Y Value</label>
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<select id="y" class="vp-select">
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</select>
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</div>
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</div>
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<!-- Tab Option Box -->
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<div class="vp-chart-right-box">
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<div class="vp-tab-bar">
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<div class="vp-tab-item vp-focus" data-type="info">Info</div>
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<div class="vp-tab-item" data-type="element">Element</div>
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<div class="vp-tab-item" data-type="figure">Figure</div>
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</div>
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<div class="vp-tab-page-box vp-grid-border-box vp-scrollbar">
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<div class="vp-tab-page vp-grid-col-95" data-type="info">
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<label for="title">Title</label>
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<input type="text" id="title" class="vp-input vp-state" placeholder="Title for the chart" />
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<label for="x_label">X Label</label>
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<input type="text" id="x_label" class="vp-input vp-state" placeholder="X Label" />
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<label for="y_label">Y Label</label>
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<input type="text" id="y_label" class="vp-input vp-state" placeholder="Y Label" />
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<label for="x_limit_from">X Limit</label>
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<div class="vp-grid-col-p50">
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<input type="text" id="x_limit_from" class="vp-input m vp-state" placeholder="From" />
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<input type="text" id="x_limit_to" class="vp-input m vp-state placeholder="To" />
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</div>
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<label for="y_limit_from">Y Limit</label>
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<div class="vp-grid-col-p50">
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<input type="text" id="y_limit_from" class="vp-input m vp-state" placeholder="From" />
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<input type="text" id="y_limit_to" class="vp-input m vp-state" placeholder="To" />
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</div>
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<label for="useLegend">Legend</label>
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<div class="vp-grid-col-p50">
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<select id="useLegend" class="vp-select m vp-state">
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<option value="False">False</option>
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<option value="True">True</option>
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</select>
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<select id="legendPos" class="vp-select m vp-state">
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<!-- Legend Position FIXME: -->
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</select>
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</div>
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</div>
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<div class="vp-tab-page vp-grid-col-95" data-type="element" style="display: none;">
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ELEMENT
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</div>
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<div class="vp-tab-page vp-grid-col-95" data-type="figure" style="display: none;">
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FIGURE
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</div>
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</div>
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</div>
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</div>
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<div>
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<div class="vp-bold">Chart Preview <button id="previewTest" class="vp-button activated">Preview Test</button></div>
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<div class="vp-chart-preview-box vp-grid-border-box">
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<span></span>
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<div id="chartPreview" class="vp-center">
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</div>
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</div>
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</div>
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</body>

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