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Merge pull request #229 from minjk-bl/devops
Devops v2.4.4
2 parents 4736010 + d2ce17f commit 5fd3502

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+666
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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 solid var(--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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{
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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}${sort})",
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"options": [
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{
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"name": "Join",
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"library": "pandas",
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"description": "Merge multiple objects",
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"docs": "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.join.html",
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"code": "${o0} = ${i0}.join(${i1}${on}${how}${sort}${lsuffix}${rsuffix})",
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"options": [
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{
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"name": "Concat",
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"library": "pandas",
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"description": "Merge multiple objects",
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"docs": "https://pandas.pydata.org/docs/reference/api/pandas.concat.html",
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"code": "${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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{
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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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"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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"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}${numeric_only})",
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"name": "Quantile",
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"library": "pandas",
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"description": "Calculate quantile between 0 and 1",
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"docs": "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.quantile.html",
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"code": "${o0} = ${i0}.quantile(${q}${axis}${numeric_only}${interpolation})",
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"name": "Drop Row/Column",
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"library": "pandas",
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"description": "Drop row and column",
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"docs": "https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.drop.html",
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"code": "${o0} = ${i0}.drop(${i1}${axis})",
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"options": [
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"name": "date_range",
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"library": "pandas",
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"description": "Create DatetimeIndex type timestamp",
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"docs": "https://pandas.pydata.org/docs/reference/api/pandas.date_range.html",
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"code": "${o0} = pd.date_range(${start}${end}${periods}${freq})",
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"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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"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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"options": [
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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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"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} = ${i0}.columns",
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"options": [
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"name": "Unique",
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"description": "",
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"docs": "https://pandas.pydata.org/docs/reference/api/pandas.Series.unique.html",
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"code": "${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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<div class="vp-popup-frame">
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<div class="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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<div class="vp-popup-title">
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<!-- Title -->
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Help viewer
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</div>
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<div class="vp-popup-maximize" title="Maximize this popup"></div>
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<div class="vp-popup-return" title="Return size of this popup"></div>
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<div class="vp-popup-close" title="Close popup"></div>
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</div>
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<div class="vp-popup-body vp-scrollbar">
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<!-- Body -->
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<div class="vp-popup-content">
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<!-- <textarea id="helpContent" class="wp100"></textarea> -->
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<pre id="helpContent">
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</pre>
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</div>
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</div>
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<div class="vp-popup-footer">
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<!-- Footer -->
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<!-- Button box -->
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<div class="vp-popup-button-box">
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<button type="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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<div class="vp-popup-button-box">
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<button type="button" class="vp-button vp-popup-button" data-type="code">Code view</button>
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<button type="button" class="vp-button vp-popup-button" data-type="data">Data view</button>
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<button type="button" class="vp-button vp-popup-button" data-type="help">Help</button>
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<div class="vp-popup-runadd-box">
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<button type="button" class="vp-button activated vp-popup-button" data-type="run" title="Save to block & Run cell">Run</button>

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