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Commitdfb199f

Browse files
author
minjk-bl
committed
Add helpviewer and doclinks
1 parente8dafda commitdfb199f

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6 files changed

+123
-8
lines changed

6 files changed

+123
-8
lines changed

‎visualpython/css/component/popupComponent.css‎

Lines changed: 5 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -191,16 +191,21 @@
191191
float: left;
192192
margin-top:9px;
193193
margin-left:10px;
194+
line-height:20px;
194195
}
195196
.vp-popup-button[data-type="data"] {
196197
float: left;
197198
margin-top:9px;
198199
margin-left:10px;
200+
line-height:20px;
199201
}
200202
.vp-popup-button[data-type="help"] {
201203
float: left;
202204
margin-top:9px;
203205
margin-left:10px;
206+
background-color:#F9B52A;
207+
color:var(--vp-background-color);
208+
line-height:20px;
204209
}
205210
.vp-popup-button[data-type="cancel"] {
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float: right;

‎visualpython/data/m_library/pandasLibrary.js‎

Lines changed: 34 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -32,6 +32,7 @@ define([
3232
"name":"Series",
3333
"library":"pandas",
3434
"description":"1 dimension array with same data types",
35+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.Series.html",
3536
"code":"${o0} = pd.Series(${i0}${index}${name})",
3637
"options":[
3738
{
@@ -64,6 +65,7 @@ define([
6465
"name":"DataFrame",
6566
"library":"pandas",
6667
"description":"2 dimension data table type pandas variable",
68+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html",
6769
"code":"${o0} = pd.DataFrame(${i0}${index}${columns})",
6870
"options":[
6971
{
@@ -98,6 +100,7 @@ define([
98100
"name":"Index",
99101
"library":"pandas",
100102
"description":"Create index object",
103+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.Index.html",
101104
"code":"${o0} = pd.Index(${data}${dtype}${copy}${name}${tupleize_cols})",
102105
"options":[
103106
{
@@ -162,6 +165,7 @@ define([
162165
"name":"Read CSV",
163166
"library":"pandas",
164167
"description":"",
168+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html",
165169
"code":"${o0} = pd.read_csv(${i0}${encoding}${header}${sep}${names}${usecols}${index_col}${na_values}${skiprows}${nrows}${chunksize}${etc})",
166170
"options":[
167171
{
@@ -250,6 +254,7 @@ define([
250254
"name":"To CSV",
251255
"library":"pandas",
252256
"description":"dataframe to csv",
257+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_csv.html",
253258
"code":"${i0}.to_csv(${i1}${encoding}${header}${index}${sep}${na_rep}${columns}${etc})",
254259
"options":[
255260
{
@@ -320,6 +325,7 @@ define([
320325
"name":"Merge",
321326
"library":"pandas",
322327
"description":"Merge 2 objects",
328+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.merge.html",
323329
"code":"${o0} = pd.merge(${i0}, ${i1}${left_on}${right_on}${how}${sort})",
324330
"options":[
325331
{
@@ -390,6 +396,7 @@ define([
390396
"name":"Join",
391397
"library":"pandas",
392398
"description":"Merge multiple objects",
399+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.join.html",
393400
"code":"${o0} = ${i0}.join(${i1}${on}${how}${sort}${lsuffix}${rsuffix})",
394401
"options":[
395402
{
@@ -469,6 +476,7 @@ define([
469476
"name":"Concat",
470477
"library":"pandas",
471478
"description":"Merge multiple objects",
479+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.concat.html",
472480
"code":"${o0} = pd.concat([${i0}]${index}${axis}${sort}${join})",
473481
"options":[
474482
{
@@ -540,6 +548,7 @@ define([
540548
"name":"Sort By Index",
541549
"library":"pandas",
542550
"description":"Sort by index",
551+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.sort_index.html",
543552
"code":"${o0} = ${i0}.sort_index(${axis}${ascending}${inplace}${kind})",
544553
"options":[
545554
{
@@ -624,6 +633,7 @@ define([
624633
"name":"Group By",
625634
"library":"pandas",
626635
"description":"Group DataFrame/Series",
636+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.groupby.html",
627637
"code":"${o0} = ${i0}.groupby(${level}${axis}${sort}${as_index})",
628638
"options":[
629639
{
@@ -692,6 +702,7 @@ define([
692702
"name":"Period",
693703
"library":"pandas",
694704
"description":"Create Period object",
705+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.Period.html",
695706
"code":"${o0} = pd.Period(${i0}${freq}${year}${month}${day})",
696707
"options":[
697708
{
@@ -759,6 +770,7 @@ define([
759770
"name":"Drop NA",
760771
"library":"pandas",
761772
"description":"",
773+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.dropna.html",
762774
"code":"${o0} = ${i0}.dropna(${axis}${how}${thresh})",
763775
"options":[
764776
{
@@ -823,6 +835,7 @@ define([
823835
"name":"Fill NA",
824836
"library":"pandas",
825837
"description":"replace null using value",
838+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.fillna.html",
826839
"code":"${o0} = ${i0}.fillna(${value}${axis}${method}${inplace}${limit})",
827840
"options":[
828841
{
@@ -902,6 +915,7 @@ define([
902915
"name":"Get Duplicates",
903916
"library":"pandas",
904917
"description":"Get duplicates",
918+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.duplicated.html",
905919
"code":"${o0} = ${i0}.duplicated(${keep})",
906920
"options":[
907921
{
@@ -986,6 +1000,7 @@ define([
9861000
"name":"Scala Replace",
9871001
"library":"pandas",
9881002
"description":"Replace scala value",
1003+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.replace.html",
9891004
"code":"${o0} = ${i0}.replace(${to_replace}${value}${method})",
9901005
"options":[
9911006
{
@@ -1038,6 +1053,7 @@ define([
10381053
"name":"List-like Replace",
10391054
"library":"pandas",
10401055
"description":"Replace values using list",
1056+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.replace.html",
10411057
"code":"${o0} = ${i0}.replace(${to_replace}${value}${method})",
10421058
"options":[
10431059
{
@@ -1090,6 +1106,7 @@ define([
10901106
"name":"Dict-like Replace",
10911107
"library":"pandas",
10921108
"description":"Replace values using dictionary",
1109+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.replace.html",
10931110
"code":"${o0} = ${i0}.replace(${to_replace}${value}${method})",
10941111
"options":[
10951112
{
@@ -1142,6 +1159,7 @@ define([
11421159
"name":"Regular Expression Replace",
11431160
"library":"pandas",
11441161
"description":"",
1162+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.replace.html",
11451163
"code":"${o0} = ${i0}.replace(${to_replace}${value}${method}${regex})",
11461164
"options":[
11471165
{
@@ -1203,6 +1221,7 @@ define([
12031221
"name":"Sum",
12041222
"library":"pandas",
12051223
"description":"",
1224+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.sum.html",
12061225
"code":"${o0} = ${i0}.sum(${axis}${skipna}${level})",
12071226
"options":[
12081227
{
@@ -1262,6 +1281,7 @@ define([
12621281
"name":"Mean",
12631282
"library":"pandas",
12641283
"description":"",
1284+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.mean.html",
12651285
"code":"${o0} = ${i0}.mean(${axis}${skipna}${level})",
12661286
"options":[
12671287
{
@@ -1321,6 +1341,7 @@ define([
13211341
"name":"Count",
13221342
"library":"pandas",
13231343
"description":"Count except NA values",
1344+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.count.html",
13241345
"code":"${o0} = ${i0}.count(${axis}${skipna}${level})",
13251346
"options":[
13261347
{
@@ -1380,6 +1401,7 @@ define([
13801401
"name":"Max",
13811402
"library":"pandas",
13821403
"description":"",
1404+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.max.html",
13831405
"code":"${o0} = ${i0}.max(${axis}${skipna}${level})",
13841406
"options":[
13851407
{
@@ -1439,6 +1461,7 @@ define([
14391461
"name":"Min",
14401462
"library":"pandas",
14411463
"description":"",
1464+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.min.html",
14421465
"code":"${o0} = ${i0}.min(${axis}${skipna}${level})",
14431466
"options":[
14441467
{
@@ -1498,6 +1521,7 @@ define([
14981521
"name":"Median",
14991522
"library":"pandas",
15001523
"description":"Median(50%)",
1524+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.median.html",
15011525
"code":"${o0} = ${i0}.median(${axis}${skipna}${level}${numeric_only})",
15021526
"options":[
15031527
{
@@ -1574,6 +1598,7 @@ define([
15741598
"name":"Std",
15751599
"library":"pandas",
15761600
"description":"",
1601+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.std.html",
15771602
"code":"${o0} = ${i0}.std(${axis}${skipna}${level}${numeric_only})",
15781603
"options":[
15791604
{
@@ -1650,6 +1675,7 @@ define([
16501675
"name":"Quantile",
16511676
"library":"pandas",
16521677
"description":"Calculate quantile between 0 and 1",
1678+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.quantile.html",
16531679
"code":"${o0} = ${i0}.quantile(${q}${axis}${numeric_only}${interpolation})",
16541680
"options":[
16551681
{
@@ -1735,6 +1761,7 @@ define([
17351761
"name":"Drop Row/Column",
17361762
"library":"pandas",
17371763
"description":"Drop row and column",
1764+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.drop.html",
17381765
"code":"${o0} = ${i0}.drop(${i1}${axis})",
17391766
"options":[
17401767
{
@@ -1791,6 +1818,7 @@ define([
17911818
"name":"date_range",
17921819
"library":"pandas",
17931820
"description":"Create DatetimeIndex type timestamp",
1821+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.date_range.html",
17941822
"code":"${o0} = pd.date_range(${start}${end}${periods}${freq})",
17951823
"options":[
17961824
{
@@ -1862,6 +1890,7 @@ define([
18621890
"name":"Sort By Values",
18631891
"library":"pandas",
18641892
"description":"",
1893+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.sort_values.html",
18651894
"code":"${o0} = ${i0}.sort_values(${by}${axis}${ascending}${inplace}${kind})",
18661895
"options":[
18671896
{
@@ -1946,6 +1975,7 @@ define([
19461975
"name":"Is Null",
19471976
"library":"pandas",
19481977
"description":"Find null",
1978+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.isnull.html",
19491979
"code":"${o0} = pd.isnull(${i0})",
19501980
"options":[
19511981
{
@@ -1974,6 +2004,7 @@ define([
19742004
"name":"Not Null",
19752005
"library":"pandas",
19762006
"description":"Find not null",
2007+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.notnull.html",
19772008
"code":"${o0} = pd.notnull(${i0})",
19782009
"options":[
19792010
{
@@ -2002,6 +2033,7 @@ define([
20022033
"name":"Transpose",
20032034
"library":"pandas",
20042035
"description":"Transpose row and column",
2036+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.T.html",
20052037
"code":"${o0} = ${i0}.T",
20062038
"options":[
20072039
{
@@ -2031,6 +2063,7 @@ define([
20312063
"name":"Get columns",
20322064
"library":"pandas",
20332065
"description":"",
2066+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.columns.html",
20342067
"code":"${o0} = ${i0}.columns",
20352068
"options":[
20362069
{
@@ -2375,6 +2408,7 @@ define([
23752408
"name":"Unique",
23762409
"library":"pandas",
23772410
"description":"",
2411+
"docs":"https://pandas.pydata.org/docs/reference/api/pandas.Series.unique.html",
23782412
"code":"${o0} = ${i0}.unique()",
23792413
"options":[
23802414
{

‎visualpython/js/com/component/LibraryComponent.js‎

Lines changed: 37 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -30,6 +30,7 @@ define([
3030
/** Write codes executed before rendering */
3131
this.config.dataview=false;
3232
this.config.sizeLevel=1;
33+
this.config.helpview=true;
3334

3435
this.packageId=this.id;
3536
// deep copy package info
@@ -46,7 +47,42 @@ define([
4647
return;
4748
}
4849
this.config.checkModules=['pd'];
49-
this.config.docs='https://pandas.pydata.org/docs/reference/index.html';
50+
51+
// set docs link
52+
if(this.package.docs===undefined){
53+
letdocsLink='https://pandas.pydata.org/docs/reference/api/pandas.';
54+
letdocsMatchObj=this.package.code.match(/\=(.+)\.(.+)\(/);
55+
if(docsMatchObj){
56+
lettargetType=docsMatchObj[1];// ${i0} or pd
57+
letmethod=docsMatchObj[2];
58+
if(targetType==='pd'){
59+
docsLink+=method+'.html';
60+
}else{
61+
docsLink+='DataFrame.'+method+'.html';
62+
}
63+
this.config.docs=docsLink;
64+
}else{
65+
this.config.docs='https://pandas.pydata.org/docs/reference/index.html';
66+
}
67+
}else{
68+
this.config.docs=this.package.docs;
69+
}
70+
71+
// set helpview content
72+
lethelpMatchObj=this.package.code.match(/\=(.+)\.(.+)\(/);
73+
if(helpMatchObj){
74+
lethelpContent='';
75+
lettargetType=helpMatchObj[1];// ${i0} or pd
76+
letmethod=helpMatchObj[2];
77+
if(targetType==='pd'){
78+
helpContent+='_vp_pd.'+method;
79+
}else{
80+
helpContent+='_vp_pd.'+'DataFrame.'+method;
81+
}
82+
this.config.helpInfo.content=helpContent;
83+
}else{
84+
this.config.helpview=false;
85+
}
5086

5187
vpLog.display(VP_LOG_TYPE.DEVELOP,'loading state',this.state);
5288
}

‎visualpython/js/com/component/NumpyComponent.js‎

Lines changed: 10 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -53,6 +53,16 @@ define([
5353
}
5454
this.config.checkModules=['np'];
5555

56+
if(this.package.docs===undefined){
57+
if(packageName=='numpy'){
58+
this.config.docs='https://numpy.org/doc/';
59+
}elseif(packageName=='python'){
60+
this.config.docs='https://docs.python.org/3.11/library/index.html';
61+
}
62+
}else{
63+
this.config.docs=this.package.docs;
64+
}
65+
5666
vpLog.display(VP_LOG_TYPE.DEVELOP,'loading state',this.state);
5767
}
5868

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