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Commit5fd3502

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authored
Merge pull request#229 from minjk-bl/devops
Devops v2.4.4
2 parents4736010 +d2ce17f commit5fd3502

27 files changed

+666
-91
lines changed

‎visualpython/css/component/popupComponent.css‎

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float: left;
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margin-top:9px;
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margin-left:10px;
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line-height:20px;
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}
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.vp-popup-button[data-type="data"] {
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float: left;
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margin-top:9px;
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margin-left:10px;
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line-height:20px;
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}
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.vp-popup-button[data-type="help"] {
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float: left;
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margin-top:9px;
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margin-left:10px;
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background-color:#F9B52A;
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color:var(--vp-background-color);
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line-height:20px;
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}
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.vp-popup-button[data-type="cancel"] {
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float: right;

‎visualpython/css/m_apps/frame.css‎

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.vp-inner-popup-apply-column {
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width:153px;
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}
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.vp-inner-popup-apply-target-name {
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width:115px;
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}
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.vp-inner-popup-sortby {
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border:0.25px solidvar(--vp-border-gray-color);
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width:160px;

‎visualpython/css/root.css‎

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@@ -586,6 +586,11 @@ hr.vp-extra-menu-line {
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.vp-inner-popup-body .w70 {
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width:70px!important;
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}
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#vp_wrapper .w60,
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.vp-popup-frame .w60,
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.vp-inner-popup-body .w60 {
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width:60px!important;
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}
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#vp_wrapper .w50,
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.vp-popup-frame .w50,
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.vp-inner-popup-body .w50 {

‎visualpython/data/m_library/pandasLibrary.js‎

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@@ -32,6 +32,7 @@ define([
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"name":"Series",
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"library":"pandas",
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"description":"1 dimension array with same data types",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.Series.html",
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"code":"${o0} = pd.Series(${i0}${index}${name})",
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"options":[
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{
@@ -64,6 +65,7 @@ define([
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"name":"DataFrame",
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"library":"pandas",
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"description":"2 dimension data table type pandas variable",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html",
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"code":"${o0} = pd.DataFrame(${i0}${index}${columns})",
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"options":[
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{
@@ -98,6 +100,7 @@ define([
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"name":"Index",
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"library":"pandas",
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"description":"Create index object",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.Index.html",
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"code":"${o0} = pd.Index(${data}${dtype}${copy}${name}${tupleize_cols})",
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"options":[
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{
@@ -162,6 +165,7 @@ define([
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"name":"Read CSV",
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"library":"pandas",
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"description":"",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html",
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"code":"${o0} = pd.read_csv(${i0}${encoding}${header}${sep}${names}${usecols}${index_col}${na_values}${skiprows}${nrows}${chunksize}${etc})",
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"options":[
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{
@@ -250,6 +254,7 @@ define([
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"name":"To CSV",
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"library":"pandas",
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"description":"dataframe to csv",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_csv.html",
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"code":"${i0}.to_csv(${i1}${encoding}${header}${index}${sep}${na_rep}${columns}${etc})",
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"options":[
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{
@@ -320,6 +325,7 @@ define([
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"name":"Merge",
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"library":"pandas",
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"description":"Merge 2 objects",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.merge.html",
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"code":"${o0} = pd.merge(${i0}, ${i1}${left_on}${right_on}${how}${sort})",
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"options":[
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{
@@ -390,6 +396,7 @@ define([
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"name":"Join",
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"library":"pandas",
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"description":"Merge multiple objects",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.join.html",
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"code":"${o0} = ${i0}.join(${i1}${on}${how}${sort}${lsuffix}${rsuffix})",
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"options":[
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{
@@ -469,6 +476,7 @@ define([
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"name":"Concat",
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"library":"pandas",
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"description":"Merge multiple objects",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.concat.html",
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"code":"${o0} = pd.concat([${i0}]${index}${axis}${sort}${join})",
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"options":[
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{
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"name":"Sort By Index",
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"library":"pandas",
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"description":"Sort by index",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.sort_index.html",
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"code":"${o0} = ${i0}.sort_index(${axis}${ascending}${inplace}${kind})",
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"options":[
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{
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"name":"Group By",
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"library":"pandas",
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"description":"Group DataFrame/Series",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.groupby.html",
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"code":"${o0} = ${i0}.groupby(${level}${axis}${sort}${as_index})",
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"options":[
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{
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"name":"Period",
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"library":"pandas",
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"description":"Create Period object",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.Period.html",
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"code":"${o0} = pd.Period(${i0}${freq}${year}${month}${day})",
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"options":[
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{
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"name":"Drop NA",
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"library":"pandas",
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"description":"",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.dropna.html",
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"code":"${o0} = ${i0}.dropna(${axis}${how}${thresh})",
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"options":[
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{
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"name":"Fill NA",
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"library":"pandas",
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"description":"replace null using value",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.fillna.html",
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"code":"${o0} = ${i0}.fillna(${value}${axis}${method}${inplace}${limit})",
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"options":[
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{
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"name":"Get Duplicates",
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"library":"pandas",
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"description":"Get duplicates",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.duplicated.html",
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"code":"${o0} = ${i0}.duplicated(${keep})",
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"options":[
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{
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"name":"Scala Replace",
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"library":"pandas",
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"description":"Replace scala value",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.replace.html",
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"code":"${o0} = ${i0}.replace(${to_replace}${value}${method})",
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"options":[
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{
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"name":"List-like Replace",
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"library":"pandas",
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"description":"Replace values using list",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.replace.html",
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"code":"${o0} = ${i0}.replace(${to_replace}${value}${method})",
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"options":[
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{
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"name":"Dict-like Replace",
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"library":"pandas",
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"description":"Replace values using dictionary",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.replace.html",
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"code":"${o0} = ${i0}.replace(${to_replace}${value}${method})",
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"options":[
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{
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"name":"Regular Expression Replace",
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"library":"pandas",
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"description":"",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.replace.html",
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"code":"${o0} = ${i0}.replace(${to_replace}${value}${method}${regex})",
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"options":[
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{
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"name":"Sum",
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"library":"pandas",
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"description":"",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.sum.html",
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"code":"${o0} = ${i0}.sum(${axis}${skipna}${level})",
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"options":[
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{
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"name":"Mean",
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"library":"pandas",
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"description":"",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.mean.html",
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"code":"${o0} = ${i0}.mean(${axis}${skipna}${level})",
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"options":[
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{
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"name":"Count",
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"library":"pandas",
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"description":"Count except NA values",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.count.html",
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"code":"${o0} = ${i0}.count(${axis}${skipna}${level})",
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"options":[
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{
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"name":"Max",
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"library":"pandas",
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"description":"",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.max.html",
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"code":"${o0} = ${i0}.max(${axis}${skipna}${level})",
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"options":[
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{
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"name":"Min",
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"library":"pandas",
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"description":"",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.min.html",
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"code":"${o0} = ${i0}.min(${axis}${skipna}${level})",
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"options":[
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"name":"Median",
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"library":"pandas",
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"description":"Median(50%)",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.median.html",
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"code":"${o0} = ${i0}.median(${axis}${skipna}${level}${numeric_only})",
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"name":"Std",
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"library":"pandas",
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"description":"",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.std.html",
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"code":"${o0} = ${i0}.std(${axis}${skipna}${level}${numeric_only})",
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"options":[
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{
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"name":"Quantile",
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"library":"pandas",
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"description":"Calculate quantile between 0 and 1",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.quantile.html",
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"code":"${o0} = ${i0}.quantile(${q}${axis}${numeric_only}${interpolation})",
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"options":[
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{
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"name":"Drop Row/Column",
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"library":"pandas",
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"description":"Drop row and column",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.drop.html",
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"code":"${o0} = ${i0}.drop(${i1}${axis})",
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"options":[
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{
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"name":"date_range",
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"library":"pandas",
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"description":"Create DatetimeIndex type timestamp",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.date_range.html",
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"code":"${o0} = pd.date_range(${start}${end}${periods}${freq})",
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"options":[
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{
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"name":"Sort By Values",
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"library":"pandas",
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"description":"",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.sort_values.html",
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"code":"${o0} = ${i0}.sort_values(${by}${axis}${ascending}${inplace}${kind})",
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"options":[
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{
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"name":"Is Null",
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"library":"pandas",
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"description":"Find null",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.isnull.html",
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"code":"${o0} = pd.isnull(${i0})",
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"name":"Not Null",
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"library":"pandas",
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"description":"Find not null",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.notnull.html",
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"code":"${o0} = pd.notnull(${i0})",
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"name":"Transpose",
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"library":"pandas",
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"description":"Transpose row and column",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.T.html",
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"code":"${o0} = ${i0}.T",
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"options":[
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{
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"name":"Get columns",
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"library":"pandas",
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"description":"",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.columns.html",
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"code":"${o0} = ${i0}.columns",
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"options":[
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{
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"name":"Unique",
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"library":"pandas",
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"description":"",
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"docs":"https://pandas.pydata.org/docs/reference/api/pandas.Series.unique.html",
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"code":"${o0} = ${i0}.unique()",
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"options":[
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{
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<!--
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Project Name : Visual Python
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Description : GUI-based Python code generator
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File Name : helpViewer.html
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Author : Black Logic
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Note : Help viewer
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License : GNU GPLv3 with Visual Python special exception
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Date : 2023. 07. 13
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Change Date :
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-->
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<!-- use body tag to strip comments out on requirejs/text plugin -->
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<body>
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<divclass="vp-popup-frame">
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<divclass="vp-popup-header">
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<!-- CHROME: title is a handler for draggable, but for some reason label tag's width is not controllable. changed tag: label -> div -->
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<divclass="vp-popup-title">
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<!-- Title -->
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Help viewer
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</div>
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<divclass="vp-popup-maximize"title="Maximize this popup"></div>
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<divclass="vp-popup-return"title="Return size of this popup"></div>
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<divclass="vp-popup-close"title="Close popup"></div>
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</div>
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<divclass="vp-popup-body vp-scrollbar">
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<!-- Body -->
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<divclass="vp-popup-content">
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<!-- <textarea id="helpContent" class="wp100"></textarea> -->
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<preid="helpContent">
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</pre>
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</div>
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</div>
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<divclass="vp-popup-footer">
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<!-- Footer -->
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<!-- Button box -->
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<divclass="vp-popup-button-box">
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<buttontype="button"class="vp-button vp-popup-button"data-type="cancel">Cancel</button>
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</div>
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</div>
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</div>
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</body>

‎visualpython/html/component/popupComponent.html‎

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<divclass="vp-popup-button-box">
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<buttontype="button"class="vp-button vp-popup-button"data-type="code">Code view</button>
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<buttontype="button"class="vp-button vp-popup-button"data-type="data">Data view</button>
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<buttontype="button"class="vp-button vp-popup-button"data-type="help">Help</button>
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<divclass="vp-popup-runadd-box">
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<buttontype="button"class="vp-button activated vp-popup-button"data-type="run"title="Save to block & Run cell">Run</button>

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