mirror of
https://github.com/koalyptus/TableFilter.git
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Added comments
This commit is contained in:
Max Guglielmi
parent
1f5ad88a39
commit
dcfe5d44c7
2
dist/tablefilter/style/colsVisibility.css
vendored
2
dist/tablefilter/style/colsVisibility.css
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@ -1,6 +1,6 @@
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/**
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* tablefilter v0.4.34 by Max Guglielmi
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* build date: 2017-01-13T05:02:11.907Z
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* build date: 2017-01-13T06:45:45.214Z
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||||
* MIT License
|
||||
*/
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||||
span.colVisSpan{text-align:left;}span.colVisSpan a.colVis{display:inline-block;padding:7px 5px 0;font-size:inherit;font-weight:inherit;vertical-align:top}div.colVisCont{position:relative;background:#fff;-webkit-box-shadow:3px 3px 2px #888;-moz-box-shadow:3px 3px 2px #888;box-shadow:3px 3px 2px #888;position:absolute;display:none;border:1px solid #ccc;height:auto;width:250px;background-color:#fff;margin:35px 0 0 -100px;z-index:10000;padding:10px 10px 10px 10px;text-align:left;font-size:12px;}div.colVisCont:after,div.colVisCont:before{bottom:100%;left:50%;border:solid transparent;content:" ";height:0;width:0;position:absolute;pointer-events:none}div.colVisCont:after{border-color:rgba(255,255,255,0);border-bottom-color:#fff;border-width:10px;margin-left:-10px}div.colVisCont:before{border-color:rgba(255,255,255,0);border-bottom-color:#ccc;border-width:12px;margin-left:-12px}div.colVisCont p{margin:6px auto 6px auto}div.colVisCont a.colVis{display:initial;font-weight:inherit}ul.cols_checklist{padding:0;margin:0;list-style:none;}ul.cols_checklist label{display:block}ul.cols_checklist input{vertical-align:middle;margin:2px 5px 2px 1px}li.cols_checklist_item{padding:4px;margin:0;}li.cols_checklist_item:hover{background-color:#335ea8;color:#fff}.cols_checklist_slc_item{background-color:#335ea8;color:#fff}
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2
dist/tablefilter/style/filtersVisibility.css
vendored
2
dist/tablefilter/style/filtersVisibility.css
vendored
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@ -1,6 +1,6 @@
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/**
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* tablefilter v0.4.34 by Max Guglielmi
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* build date: 2017-01-13T05:02:11.907Z
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* build date: 2017-01-13T06:45:45.214Z
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* MIT License
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||||
*/
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||||
span.expClpFlt a.btnExpClpFlt{width:35px;height:35px;display:inline-block;}span.expClpFlt a.btnExpClpFlt:hover{background-color:#f4f4f4}span.expClpFlt img{padding:8px 11px 11px 11px}
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2
dist/tablefilter/style/tablefilter.css
vendored
2
dist/tablefilter/style/tablefilter.css
vendored
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@ -1,6 +1,6 @@
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/**
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* tablefilter v0.4.34 by Max Guglielmi
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* build date: 2017-01-13T05:02:11.907Z
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* build date: 2017-01-13T06:45:45.214Z
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||||
* MIT License
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||||
*/
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||||
.activeHeader{background-color:#66afe9 !important;color:#fff !important}
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@ -1,6 +1,6 @@
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/**
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* tablefilter v0.4.34 by Max Guglielmi
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* build date: 2017-01-13T05:02:11.907Z
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* build date: 2017-01-13T06:45:45.214Z
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||||
* MIT License
|
||||
*/
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||||
table.TF{border-left:1px solid #ccc;border-top:none;border-right:none;border-bottom:none;}table.TF th{background:#ebecee url("images/bg_th.jpg") left top repeat-x;border-bottom:1px solid #d0d0d0;border-right:1px solid #d0d0d0;border-left:1px solid #fff;border-top:1px solid #fff;color:#333}table.TF td{border-bottom:1px dotted #999;padding:5px}.fltrow{background-color:#ebecee !important;}.fltrow th,.fltrow td{border-bottom:1px dotted #666 !important;padding:1px 3px 1px 3px !important}.flt,select.flt,select.flt_multi,.flt_s,.single_flt,.div_checklist{border:1px solid #999 !important}input.flt{width:99% !important}.inf{height:$min-height;background:#d7d7d7 url("images/bg_infDiv.jpg") 0 0 repeat-x !important}input.reset{background:transparent url("images/btn_eraser.gif") center center no-repeat !important}.helpBtn:hover{background-color:transparent}.nextPage{background:transparent url("images/btn_next_page.gif") center center no-repeat !important;}.nextPage:hover{background:transparent url("images/btn_over_next_page.gif") center center no-repeat !important}.previousPage{background:transparent url("images/btn_previous_page.gif") center center no-repeat !important;}.previousPage:hover{background:transparent url("images/btn_over_previous_page.gif") center center no-repeat !important}.firstPage{background:transparent url("images/btn_first_page.gif") center center no-repeat !important;}.firstPage:hover{background:transparent url("images/btn_over_first_page.gif") center center no-repeat !important}.lastPage{background:transparent url("images/btn_last_page.gif") center center no-repeat !important;}.lastPage:hover{background:transparent url("images/btn_over_last_page.gif") center center no-repeat !important}div.grd_Cont{background-color:#ebecee !important;border:1px solid #ccc !important;padding:0 !important;}div.grd_Cont .even{background-color:#fff}div.grd_Cont .odd{background-color:#d5d5d5}div.grd_headTblCont{background-color:#ebecee !important;border-bottom:none !important;}div.grd_headTblCont table{border-right:none !important}div.grd_tblCont table th,div.grd_headTblCont table th,div.grd_headTblCont table td{background:#ebecee url("images/bg_th.jpg") left top repeat-x !important;border-bottom:1px solid #d0d0d0 !important;border-right:1px solid #d0d0d0 !important;border-left:1px solid #fff !important;border-top:1px solid #fff !important}div.grd_tblCont table td{border-bottom:1px solid #999 !important}.grd_inf{background:#d7d7d7 url("images/bg_infDiv.jpg") 0 0 repeat-x !important;border-top:1px solid #d0d0d0 !important}.loader{border:1px solid #999}.defaultLoader{width:32px;height:32px;background:transparent url("images/img_loading.gif") 0 0 no-repeat !important}.even{background-color:#fff}.odd{background-color:#d5d5d5}span.expClpFlt a.btnExpClpFlt:hover{background-color:transparent !important}.activeHeader{background:#999 !important}
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@ -1,6 +1,6 @@
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/**
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* tablefilter v0.4.34 by Max Guglielmi
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* build date: 2017-01-13T05:02:11.907Z
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* build date: 2017-01-13T06:45:45.214Z
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* MIT License
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||||
*/
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table.TF{border-left:1px dotted #81963b;border-top:none;border-right:0;border-bottom:none;}table.TF th{background:#39424b url("images/bg_headers.jpg") left top repeat-x;border-bottom:0;border-right:1px dotted #d0d0d0;border-left:0;border-top:0;color:#fff}table.TF td{border-bottom:1px dotted #81963b;border-right:1px dotted #81963b;padding:5px}.fltrow{background-color:#81963b !important;}.fltrow th,.fltrow td{border-bottom:1px dotted #39424b !important;border-right:1px dotted #fff !important;border-left:0 !important;border-top:0 !important;padding:1px 3px 1px 3px !important}.flt,select.flt,select.flt_multi,.flt_s,.single_flt,.div_checklist{border:1px solid #687830 !important}input.flt{width:99% !important}.inf{background:#d8d8d8;height:$min-height}input.reset{width:53px;background:transparent url("images/btn_filter.png") center center no-repeat !important}.helpBtn:hover{background-color:transparent}.nextPage{background:transparent url("images/btn_next_page.gif") center center no-repeat !important}.previousPage{background:transparent url("images/btn_previous_page.gif") center center no-repeat !important}.firstPage{background:transparent url("images/btn_first_page.gif") center center no-repeat !important}.lastPage{background:transparent url("images/btn_last_page.gif") center center no-repeat !important}div.grd_Cont{background:#81963b url("images/bg_headers.jpg") left top repeat-x !important;border:1px solid #ccc !important;padding:0 1px 1px 1px !important;}div.grd_Cont .even{background-color:#bccd83}div.grd_Cont .odd{background-color:#fff}div.grd_headTblCont{background-color:#ebecee !important;border-bottom:none !important}div.grd_tblCont table{border-right:none !important;}div.grd_tblCont table td{border-bottom:1px dotted #81963b;border-right:1px dotted #81963b}div.grd_tblCont table th,div.grd_headTblCont table th{background:transparent url("images/bg_headers.jpg") 0 0 repeat-x !important;border-bottom:0 !important;border-right:1px dotted #d0d0d0 !important;border-left:0 !important;border-top:0 !important;padding:0 4px 0 4px !important;color:#fff !important;height:35px !important}div.grd_headTblCont table td{border-bottom:1px dotted #39424b !important;border-right:1px dotted #fff !important;border-left:0 !important;border-top:0 !important;background-color:#81963b !important;padding:1px 3px 1px 3px !important}.grd_inf{background-color:#d8d8d8;border-top:1px solid #d0d0d0 !important}.loader{border:0 !important;background:#81963b !important}.defaultLoader{width:32px;height:32px;background:transparent url("images/img_loading.gif") 0 0 no-repeat !important}.even{background-color:#bccd83}.odd{background-color:#fff}span.expClpFlt a.btnExpClpFlt:hover{background-color:transparent !important}.activeHeader{background:#81963b !important}
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@ -1,6 +1,6 @@
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/**
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* tablefilter v0.4.34 by Max Guglielmi
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* build date: 2017-01-13T05:02:11.907Z
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* build date: 2017-01-13T06:45:45.214Z
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* MIT License
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||||
*/
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||||
table.TF{padding:0;color:#000;border-right:1px solid #a4bed4;border-top:1px solid #a4bed4;border-left:1px solid #a4bed4;border-bottom:0;}table.TF th{margin:0;color:inherit;background:#d1e5fe url("images/bg_skyblue.gif") 0 0 repeat-x;border-color:#fdfdfd #a4bed4 #a4bed4 #fdfdfd;border-width:1px;border-style:solid}table.TF td{margin:0;padding:5px;color:inherit;border-bottom:1px solid #a4bed4;border-left:0;border-top:0;border-right:0}.fltrow{background-color:#d1e5fe !important;}.fltrow th,.fltrow td{padding:1px 3px 1px 3px !important}.flt,select.flt,select.flt_multi,.flt_s,.single_flt,.div_checklist{border:1px solid #a4bed4 !important}input.flt{width:99% !important}.inf{background-color:#e3efff !important;border:1px solid #a4bed4;height:$min-height;color:#004a6f}div.tot,div.status{border-right:0 !important}.helpBtn:hover{background-color:transparent}input.reset{background:transparent url("images/icn_clear_filters.png") center center no-repeat !important}.nextPage{background:transparent url("images/btn_next_page.gif") center center no-repeat !important;border:1px solid transparent !important;}.nextPage:hover{background:#ffe4ab url("images/btn_next_page.gif") center center no-repeat !important;border:1px solid #ffb552 !important}.previousPage{background:transparent url("images/btn_prev_page.gif") center center no-repeat !important;border:1px solid transparent !important;}.previousPage:hover{background:#ffe4ab url("images/btn_prev_page.gif") center center no-repeat !important;border:1px solid #ffb552 !important}.firstPage{background:transparent url("images/btn_first_page.gif") center center no-repeat !important;border:1px solid transparent !important;}.firstPage:hover{background:#ffe4ab url("images/btn_first_page.gif") center center no-repeat !important;border:1px solid #ffb552 !important}.lastPage{background:transparent url("images/btn_last_page.gif") center center no-repeat !important;border:1px solid transparent !important;}.lastPage:hover{background:#ffe4ab url("images/btn_last_page.gif") center center no-repeat !important;border:1px solid #ffb552 !important}.activeHeader{background:#ffe4ab !important;border:1px solid #ffb552 !important;color:inherit !important}div.grd_Cont{background-color:#d9eaed !important;border:1px solid #9cc !important;padding:0 !important;}div.grd_Cont .even{background-color:#fff}div.grd_Cont .odd{background-color:#e3efff}div.grd_headTblCont{background-color:#d9eaed !important;border-bottom:none !important}div.grd_tblCont table{border-right:none !important}div.grd_tblCont table th,div.grd_headTblCont table th,div.grd_headTblCont table td{background:#d9eaed url("images/bg_skyblue.gif") left top repeat-x;border-bottom:1px solid #a4bed4;border-right:1px solid #a4bed4 !important;border-left:1px solid #fff !important;border-top:1px solid #fff !important}div.grd_tblCont table td{border-bottom:1px solid #a4bed4 !important;border-right:0 !important;border-left:0 !important;border-top:0 !important}.grd_inf{background-color:#cce2fe;color:#004a6f;border-top:1px solid #9cc !important;}.grd_inf a{text-decoration:none;font-weight:bold}.loader{background-color:#2d8eef;border:1px solid #cce2fe;border-radius:5px}.even{background-color:#fff}.odd{background-color:#e3efff}span.expClpFlt a.btnExpClpFlt:hover{background-color:transparent !important}.ezActiveRow{background-color:#ffdc61 !important;color:inherit}.ezSelectedRow{background-color:#ffe4ab !important;color:inherit}.ezActiveCell{background-color:#fff !important;color:#000 !important;font-weight:bold}.ezETSelectedCell{background-color:#fff !important;font-weight:bold;color:#000 !important}
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@ -1,6 +1,6 @@
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/**
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* tablefilter v0.4.34 by Max Guglielmi
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* build date: 2017-01-13T05:02:11.907Z
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* build date: 2017-01-13T06:45:45.214Z
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* MIT License
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*/
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table.TF{padding:0;color:inherit;border-right:1px solid transparent;border-top:1px solid transparent;border-left:1px solid transparent;border-bottom:0;}table.TF th{margin:0;color:inherit;background-color:transparent;border-color:transparent;border-width:1px;border-style:solid;}table.TF th:last-child{border-right:1px solid transparent}table.TF td{margin:0;padding:5px;color:inherit;border-bottom:1px solid transparent;border-left:0;border-top:0;border-right:0}.fltrow{background-color:transparent;}.fltrow th,.fltrow td{padding:1px 3px 1px 3px;border-bottom:1px solid transparent !important;}.fltrow th:last-child,.fltrow td:last-child{border-right:1px solid transparent}.flt,select.flt,select.flt_multi,.flt_s,.single_flt,.div_checklist{border:1px solid #a4bed4}input.flt{width:99% !important}.inf{background-color:transparent;border:1px solid transparent;height:$min-height;color:inherit}div.tot,div.status{border-right:0 !important}.helpBtn:hover{background-color:transparent}input.reset{background:transparent url("images/icn_clear_filters.png") center center no-repeat !important}.nextPage{background:transparent url("images/btn_next_page.gif") center center no-repeat !important;border:1px solid transparent !important;}.nextPage:hover{background:#f7f7f7 url("images/btn_next_page.gif") center center no-repeat !important;border:1px solid #f7f7f7 !important}.previousPage{background:transparent url("images/btn_prev_page.gif") center center no-repeat !important;border:1px solid transparent !important;}.previousPage:hover{background:#f7f7f7 url("images/btn_prev_page.gif") center center no-repeat !important;border:1px solid #f7f7f7 !important}.firstPage{background:transparent url("images/btn_first_page.gif") center center no-repeat !important;border:1px solid transparent !important;}.firstPage:hover{background:#f7f7f7 url("images/btn_first_page.gif") center center no-repeat !important;border:1px solid #f7f7f7 !important}.lastPage{background:transparent url("images/btn_last_page.gif") center center no-repeat !important;border:1px solid transparent !important;}.lastPage:hover{background:#f7f7f7 url("images/btn_last_page.gif") center center no-repeat !important;border:1px solid #f7f7f7 !important}.activeHeader{background:#f7f7f7 !important;border:1px solid transparent;color:inherit !important}div.grd_Cont{-webkit-box-shadow:0 0 0 0 rgba(50,50,50,0.75);-moz-box-shadow:0 0 0 0 rgba(50,50,50,0.75);box-shadow:0 0 0 0 rgba(50,50,50,0.75);background-color:transparent;border:1px solid transparent;padding:0 !important;}div.grd_Cont .even{background-color:transparent}div.grd_Cont .odd{background-color:#f7f7f7}div.grd_headTblCont{background-color:transparent;border-bottom:none !important}div.grd_tblCont table{border-right:none !important}div.grd_tblCont table th,div.grd_headTblCont table th,div.grd_headTblCont table td{background:transparent;border-bottom:1px solid transparent;border-right:1px solid transparent !important;border-left:1px solid transparent;border-top:1px solid transparent}div.grd_tblCont table td{border-bottom:1px solid transparent;border-right:0 !important;border-left:0 !important;border-top:0 !important}.grd_inf{background-color:transparent;color:inherit;border-top:1px solid transparent;}.grd_inf a{text-decoration:none;font-weight:bold}.loader{background-color:#f7f7f7;border:1px solid #f7f7f7;border-radius:5px;color:#000;text-shadow:none}.even{background-color:transparent}.odd{background-color:#f7f7f7}span.expClpFlt a.btnExpClpFlt:hover{background-color:transparent !important}.ezActiveRow{background-color:#ccc !important;color:inherit}.ezSelectedRow{background-color:#ccc !important;color:inherit}.ezActiveCell{background-color:transparent;color:inherit;font-weight:bold}.ezETSelectedCell{background-color:transparent;font-weight:bold;color:inherit}
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2
dist/tablefilter/tablefilter.js
vendored
2
dist/tablefilter/tablefilter.js
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@ -83,7 +83,7 @@ return /******/ (function(modules) { // webpackBootstrap
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/******/ script.charset = 'utf-8';
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/******/ script.async = true;
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/******/
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/******/ script.src = __webpack_require__.p + "tf-" + ({}[chunkId]||chunkId) + "-" + {"1":"48eaa6bffe5054f82ce9"}[chunkId] + ".js";
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/******/ script.src = __webpack_require__.p + "tf-" + ({}[chunkId]||chunkId) + "-" + {"1":"05a734fa5f686a5bcd3d"}[chunkId] + ".js";
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/******/ head.appendChild(script);
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/******/ }
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/******/ };
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2
dist/tablefilter/tablefilter.js.map
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2
dist/tablefilter/tablefilter.js.map
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import {Feature} from '../../feature';
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import {createText, elm} from '../../dom';
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import {isArray, isFn, isUndef, EMPTY_FN} from '../../types';
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import {isArray, isFn, isUndef, isEmpty, EMPTY_FN} from '../../types';
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import {numSortAsc} from '../../sort';
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const EVENTS = [
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'after-page-length-change'
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];
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const SUM = 'sum';
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const MEAN = 'mean';
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const MIN = 'min';
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const MAX = 'max';
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const MEDIAN = 'median';
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const Q1 = 'q1';
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const Q3 = 'q3';
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/**
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* Column calculations extension
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*/
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*/
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this.opts = opts;
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/**
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* List of DOM element IDs containing column's calculation result
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* @type {Array}
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*/
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this.labelIds = opts.id || [];
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/**
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* List of columns' indexes for calculations
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* @type {Array}
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*/
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this.colIndexes = opts.col || [];
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/**
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* List of operations - possible values: 'sum', 'mean', 'min', 'max',
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* 'median', 'q1', 'q3'
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* @type {Array}
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*/
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this.operations = opts.operation || [];
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/**
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* List of write methods used to write the result - possible values:
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* 'innerHTML', 'setValue', 'createTextNode'
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* @type {Array}
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*/
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this.outputTypes = opts.write_method || [];
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/**
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* List of row indexes displaying the results
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* @type {Array}
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*/
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this.totRowIndexes = opts.tot_row_index || [];
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/**
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* List of row indexes excluded from calculations
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* @type {Array}
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*/
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this.excludeRows = opts.exclude_row || [];
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/**
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* List of decimal precision for calculation results
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* @type {Array}
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*/
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this.decimalPrecisions = isUndef(opts.decimal_precision) ?
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2 : opts.decimal_precision;
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this.enable();
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}
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return;
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}
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// subscribe to events
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this.emitter.on(EVENTS, () => this.calc());
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this.emitter.on(EVENTS, () => this.calcAll());
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this.calc();
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this.calcAll();
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/**
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* @inherited
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*/
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/** @inherited */
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this.initialized = true;
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}
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* (1) optimized the routine (now it will only process each column once),
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* (2) added calculations for the median, lower and upper quartile.
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*/
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calc() {
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calcAll() {
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let tf = this.tf;
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if (!tf.isInitialized()) {
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return;
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this.onBeforeOperation(tf, this);
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this.emitter.emit('before-column-operation', tf, this);
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let opts = this.opts,
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labelId = opts.id,
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colIndexes = opts.col,
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operation = opts.operation,
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outputType = opts.write_method,
|
||||
totRowIndex = opts.tot_row_index,
|
||||
excludeRow = opts.exclude_row,
|
||||
decimalPrecision = isUndef(opts.decimal_precision) ?
|
||||
2 : opts.decimal_precision;
|
||||
let colIndexes = this.colIndexes,
|
||||
colOperations = this.operations,
|
||||
outputTypes = this.outputTypes,
|
||||
totRowIndexes = this.totRowIndexes,
|
||||
excludeRows = this.excludeRows,
|
||||
decimalPrecisions = isUndef(this.decimalPrecisions) ?
|
||||
2 : this.decimalPrecisions;
|
||||
|
||||
//nuovella: determine unique list of columns to operate on
|
||||
let uColIdx = [],
|
||||
uColMax = 0;
|
||||
uColIdx[uColMax] = colIndexes[0];
|
||||
let uIndexes = [],
|
||||
nbCols = 0;
|
||||
// uIndexes[nbCols] = colIndexes[0];
|
||||
|
||||
for (let ii = 1; ii < colIndexes.length; ii++) {
|
||||
let saved = 0;
|
||||
//see if colIndexes[ii] is already in the list of unique indexes
|
||||
for (let jj = 0; jj <= uColMax; jj++) {
|
||||
if (uColIdx[jj] === colIndexes[ii]) {
|
||||
saved = 1;
|
||||
// for (let ii = 1; ii < colIndexes.length; ii++) {
|
||||
// let saved = 0;
|
||||
// //see if colIndexes[ii] is already in the list of unique indexes
|
||||
// for (let jj = 0; jj <= nbCols; jj++) {
|
||||
// if (uIndexes[jj] === colIndexes[ii]) {
|
||||
// saved = 1;
|
||||
// }
|
||||
// }
|
||||
// //if not saved then, save the index
|
||||
// if (saved === 0) {
|
||||
// nbCols++;
|
||||
// uIndexes[nbCols] = colIndexes[ii];
|
||||
// }
|
||||
// }
|
||||
|
||||
colIndexes.forEach((val) => {
|
||||
if (uIndexes.indexOf(val) === -1) {
|
||||
uIndexes.push(val);
|
||||
}
|
||||
});
|
||||
nbCols = uIndexes.length - 1;
|
||||
|
||||
console.log('uIndexes',uIndexes, 'colIndexes',colIndexes)
|
||||
|
||||
let rows = tf.tbl.rows,
|
||||
colValues = [];
|
||||
|
||||
for (let u = 0; u <= nbCols; u++) {
|
||||
//this retrieves col values
|
||||
//use uIndexes because we only want to pass through this loop
|
||||
//once for each column get the values in this unique column
|
||||
colValues.push(tf
|
||||
.getFilteredDataCol(uIndexes[u], false, true, excludeRows)
|
||||
);
|
||||
|
||||
let curValues = colValues[u];
|
||||
|
||||
//next: calculate all operations for this column
|
||||
let result = 0,
|
||||
// meanValue = 0,
|
||||
// sumValue = 0,
|
||||
// minValue = null,
|
||||
// maxValue = null,
|
||||
// q1Value = null,
|
||||
// medValue = null,
|
||||
// q3Value = null,
|
||||
// meanFlag = false,
|
||||
// sumFlag = false,
|
||||
// minFlag = false,
|
||||
// maxFlag = false,
|
||||
// q1Flag = false,
|
||||
// medFlag = false,
|
||||
// q3Flag = false,
|
||||
operations = [],
|
||||
precisions = [],
|
||||
labels = [],
|
||||
writeType,
|
||||
idx = -1/*,
|
||||
k = 0,
|
||||
i = 0*/;
|
||||
|
||||
for (let k = 0; k < colIndexes.length; k++) {
|
||||
if (colIndexes[k] !== uIndexes[u]) {
|
||||
continue;
|
||||
}
|
||||
}
|
||||
//if not saved then, save the index
|
||||
if (saved === 0) {
|
||||
uColMax++;
|
||||
uColIdx[uColMax] = colIndexes[ii];
|
||||
}
|
||||
}
|
||||
|
||||
if (isArray(labelId) && isArray(colIndexes) && isArray(operation)) {
|
||||
let rows = tf.tbl.rows,
|
||||
colValues = [],
|
||||
uCol = 0;
|
||||
idx++;
|
||||
operations[idx] = colOperations[k].toLowerCase();
|
||||
precisions[idx] = decimalPrecisions[k];
|
||||
labels[idx] = this.labelIds[k];
|
||||
writeType = isArray(outputTypes) ? outputTypes[k] : null;
|
||||
|
||||
for (; uCol <= uColMax; uCol++) {
|
||||
//this retrieves col values
|
||||
//use uColIdx because we only want to pass through this loop
|
||||
//once for each column get the values in this unique column
|
||||
colValues.push(tf
|
||||
.getFilteredDataCol(uColIdx[uCol], false, true, excludeRow)
|
||||
// switch (operations[idx]) {
|
||||
// case MEAN:
|
||||
// meanFlag = true;
|
||||
// break;
|
||||
// case SUM:
|
||||
// sumFlag = true;
|
||||
// break;
|
||||
// case MIN:
|
||||
// minFlag = true;
|
||||
// break;
|
||||
// case MAX:
|
||||
// maxFlag = true;
|
||||
// break;
|
||||
// case MEDIAN:
|
||||
// medFlag = true;
|
||||
// break;
|
||||
// case Q1:
|
||||
// q1Flag = true;
|
||||
// break;
|
||||
// case Q3:
|
||||
// q3Flag = true;
|
||||
// break;
|
||||
// }
|
||||
}
|
||||
|
||||
//sort the values for calculation of median and quartiles
|
||||
// if (q1Flag || q3Flag || medFlag) {
|
||||
// curValues = this.sortColumnValues(curValues, numSortAsc);
|
||||
// }
|
||||
|
||||
// if (sumFlag || meanFlag) {
|
||||
// sumValue = this.calcSum(curValues);
|
||||
// }
|
||||
// if (maxFlag) {
|
||||
// maxValue = this.calcMax(curValues);
|
||||
// }
|
||||
// if (minFlag) {
|
||||
// minValue = this.calcMin(curValues);
|
||||
// }
|
||||
// if (meanFlag) {
|
||||
// meanValue = sumValue / curValues.length;
|
||||
// }
|
||||
// if (medFlag) {
|
||||
// medValue = this.calcMedian(curValues);
|
||||
// }
|
||||
// if (q1Flag) {
|
||||
// q1Value = this.calcQ1(curValues);
|
||||
// }
|
||||
// if (q3Flag) {
|
||||
// q3Value = this.calcQ3(curValues);
|
||||
// }
|
||||
|
||||
for (let i = 0; i <= idx; i++) {
|
||||
result = this.calc(curValues, operations[i], null);
|
||||
result = Number(result);
|
||||
|
||||
this.emitter.emit(
|
||||
'column-calc',
|
||||
this.tf,
|
||||
this,
|
||||
uIndexes[u],
|
||||
result,
|
||||
operations[i],
|
||||
precisions[i]
|
||||
);
|
||||
|
||||
let curValues = colValues[uCol];
|
||||
// switch (operations[i]) {
|
||||
// case MEAN:
|
||||
// result = this.columnCalc(null, MEAN, null,curValues);
|
||||
// // result = meanValue;
|
||||
// break;
|
||||
// case SUM:
|
||||
// // result = sumValue;
|
||||
// result = this.columnCalc(null, SUM, null, curValues);
|
||||
// break;
|
||||
// case MIN:
|
||||
// // result = minValue;
|
||||
// result = this.columnCalc(null, MIN, null, curValues);
|
||||
// break;
|
||||
// case MAX:
|
||||
// // result = maxValue;
|
||||
// result = this.columnCalc(null, MAX, null, curValues);
|
||||
// break;
|
||||
// case MEDIAN:
|
||||
// // result = medValue;
|
||||
// result = this.columnCalc(null,MEDIAN,null,curValues);
|
||||
// break;
|
||||
// case Q1:
|
||||
// // result = q1Value;
|
||||
// result = this.columnCalc(null, Q1, null, curValues);
|
||||
// break;
|
||||
// case Q3:
|
||||
// result = this.columnCalc(null, Q3, null, curValues);
|
||||
// break;
|
||||
// }
|
||||
|
||||
//next: calculate all operations for this column
|
||||
let result,
|
||||
meanValue = 0,
|
||||
sumValue = 0,
|
||||
minValue = null,
|
||||
maxValue = null,
|
||||
q1Value = null,
|
||||
medValue = null,
|
||||
q3Value = null,
|
||||
meanFlag = false,
|
||||
sumFlag = false,
|
||||
minFlag = false,
|
||||
maxFlag = false,
|
||||
q1Flag = false,
|
||||
medFlag = false,
|
||||
q3Flag = false,
|
||||
operations = [],
|
||||
precisions = [],
|
||||
labels = [],
|
||||
this.writeResult(
|
||||
result,
|
||||
labels[i],
|
||||
writeType,
|
||||
idx = -1,
|
||||
k = 0,
|
||||
i = 0;
|
||||
precisions[i]
|
||||
);
|
||||
|
||||
for (; k < colIndexes.length; k++) {
|
||||
if (colIndexes[k] !== uColIdx[uCol]) {
|
||||
continue;
|
||||
}
|
||||
}//for i
|
||||
|
||||
idx++;
|
||||
operations[idx] = operation[k].toLowerCase();
|
||||
precisions[idx] = decimalPrecision[k];
|
||||
labels[idx] = labelId[k];
|
||||
writeType = isArray(outputType) ? outputType[k] : null;
|
||||
|
||||
switch (operations[idx]) {
|
||||
case 'mean':
|
||||
meanFlag = true;
|
||||
break;
|
||||
case 'sum':
|
||||
sumFlag = true;
|
||||
break;
|
||||
case 'min':
|
||||
minFlag = true;
|
||||
break;
|
||||
case 'max':
|
||||
maxFlag = true;
|
||||
break;
|
||||
case 'median':
|
||||
medFlag = true;
|
||||
break;
|
||||
case 'q1':
|
||||
q1Flag = true;
|
||||
break;
|
||||
case 'q3':
|
||||
q3Flag = true;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
//sort the values for calculation of median and quartiles
|
||||
if (q1Flag || q3Flag || medFlag) {
|
||||
curValues = this.sortColumnValues(curValues, numSortAsc);
|
||||
}
|
||||
|
||||
if (sumFlag || meanFlag) {
|
||||
sumValue = this.calcSum(curValues);
|
||||
}
|
||||
if (maxFlag) {
|
||||
maxValue = this.calcMax(curValues);
|
||||
}
|
||||
if (minFlag) {
|
||||
minValue = this.calcMin(curValues);
|
||||
}
|
||||
if (meanFlag) {
|
||||
meanValue = sumValue / curValues.length;
|
||||
}
|
||||
if (medFlag) {
|
||||
medValue = this.calcMedian(curValues);
|
||||
}
|
||||
if (q1Flag) {
|
||||
q1Value = this.calcQ1(curValues);
|
||||
}
|
||||
if (q3Flag) {
|
||||
q3Value = this.calcQ3(curValues);
|
||||
}
|
||||
|
||||
for (; i <= idx; i++) {
|
||||
switch (operations[i]) {
|
||||
case 'mean':
|
||||
result = meanValue;
|
||||
break;
|
||||
case 'sum':
|
||||
result = sumValue;
|
||||
break;
|
||||
case 'min':
|
||||
result = minValue;
|
||||
break;
|
||||
case 'max':
|
||||
result = maxValue;
|
||||
break;
|
||||
case 'median':
|
||||
result = medValue;
|
||||
break;
|
||||
case 'q1':
|
||||
result = q1Value;
|
||||
break;
|
||||
case 'q3':
|
||||
result = q3Value;
|
||||
break;
|
||||
}
|
||||
|
||||
this.writeResult(
|
||||
result,
|
||||
labels[i],
|
||||
writeType,
|
||||
precisions[i]
|
||||
);
|
||||
|
||||
}//for i
|
||||
|
||||
// row(s) with result are always visible
|
||||
let totRow = totRowIndex && totRowIndex[uCol] ?
|
||||
rows[totRowIndex[uCol]] : null;
|
||||
if (totRow) {
|
||||
totRow.style.display = '';
|
||||
}
|
||||
}//for uCol
|
||||
}//if typeof
|
||||
// row(s) with result are always visible
|
||||
let totRow = totRowIndexes && totRowIndexes[u] ?
|
||||
rows[totRowIndexes[u]] : null;
|
||||
if (totRow) {
|
||||
totRow.style.display = '';
|
||||
}
|
||||
}//for u
|
||||
|
||||
this.onAfterOperation(tf, this);
|
||||
this.emitter.emit('after-column-operation', tf, this);
|
||||
}
|
||||
|
||||
columnCalc(colIndex, operation = 'sum', precision = 2) {
|
||||
let result;
|
||||
let colValues = [];
|
||||
let excludeRows = this.opts.exclude_row || [];
|
||||
let sumValue = 0;
|
||||
|
||||
colValues =
|
||||
/**
|
||||
* Make desired calculation on specified column.
|
||||
* @param {Number} colIndex Column index
|
||||
* @param {any} [operation=SUM] Operation type
|
||||
* @param {any} precision Decimal precision
|
||||
* @returns {Number}
|
||||
*/
|
||||
columnCalc(colIndex, operation = SUM, precision) {
|
||||
let excludeRows = this.excludeRows || [];
|
||||
let colValues =
|
||||
this.tf.getFilteredDataCol(colIndex, false, true, excludeRows);
|
||||
|
||||
if (operation === 'q1' || operation === 'q3' ||
|
||||
operation === 'median') {
|
||||
return this.calc(colValues, operation, precision);
|
||||
}
|
||||
|
||||
/**
|
||||
* Make calculation on passed values.
|
||||
* @param {Array} values List of values
|
||||
* @param {String} [operation=SUM] Optional operation type
|
||||
* @param {Number} precision Optional result precision
|
||||
* @returns {Number}
|
||||
* @private
|
||||
*/
|
||||
calc(colValues, operation = SUM, precision) {
|
||||
let result = 0;
|
||||
let sumValue = 0;
|
||||
|
||||
if (operation === Q1 || operation === Q3 || operation === MEDIAN) {
|
||||
colValues = this.sortColumnValues(colValues, numSortAsc);
|
||||
}
|
||||
|
||||
if (operation === 'sum' || operation === 'mean') {
|
||||
if (operation === SUM || operation === MEAN) {
|
||||
sumValue = this.calcSum(colValues);
|
||||
}
|
||||
|
||||
switch (operation) {
|
||||
case 'mean':
|
||||
case MEAN:
|
||||
result = sumValue / colValues.length;
|
||||
break;
|
||||
case 'sum':
|
||||
case SUM:
|
||||
result = sumValue;
|
||||
break;
|
||||
case 'min':
|
||||
case MIN:
|
||||
result = this.calcMin(colValues);
|
||||
break;
|
||||
case 'max':
|
||||
case MAX:
|
||||
result = this.calcMax(colValues);
|
||||
break;
|
||||
case 'median':
|
||||
case MEDIAN:
|
||||
result = this.calcMedian(colValues);
|
||||
break;
|
||||
case 'q1':
|
||||
case Q1:
|
||||
result = this.calcQ1(colValues);
|
||||
break;
|
||||
case 'q3':
|
||||
case Q3:
|
||||
result = this.calcQ3(colValues);
|
||||
break;
|
||||
}
|
||||
|
||||
return result.toFixed(precision);
|
||||
return isEmpty(precision) ? result : result.toFixed(precision);
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate the sum of passed values.
|
||||
* @param {Array} [values=[]] List of values
|
||||
* @returns {Number}
|
||||
*/
|
||||
calcSum(values = []) {
|
||||
console.log(values);
|
||||
return values.reduce((x, y) => x + y);
|
||||
let result = values.reduce((x, y) => x + y);
|
||||
return Number(result);
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate the max value of passed values.
|
||||
* @param {Array} [values=[]] List of values
|
||||
* @returns {Number}
|
||||
*/
|
||||
calcMax(values = []) {
|
||||
return Math.max.apply(null, values);
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate the min value of passed values.
|
||||
* @param {Array} [values=[]] List of values
|
||||
* @returns {Number}
|
||||
*/
|
||||
calcMin(values = []) {
|
||||
return Math.min.apply(null, values);
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate the median of passed values.
|
||||
* @param {Array} [values=[]] List of values
|
||||
* @returns {Number}
|
||||
*/
|
||||
calcMedian(values = []) {
|
||||
let nbValues = values.length;
|
||||
let aux = 0;
|
||||
if (nbValues % 2 === 1) {
|
||||
aux = Math.floor(nbValues / 2);
|
||||
return values[aux];
|
||||
} else {
|
||||
return (values[nbValues / 2] +
|
||||
values[((nbValues / 2) - 1)]) / 2;
|
||||
return Number(values[aux]);
|
||||
}
|
||||
return Number(
|
||||
(values[nbValues / 2] +
|
||||
values[((nbValues / 2) - 1)]) / 2
|
||||
);
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate the lower quartile of passed values.
|
||||
* @param {Array} [values=[]] List of values
|
||||
* @returns {Number}
|
||||
*/
|
||||
calcQ1(values = []) {
|
||||
let nbValues = values.length;
|
||||
let posa = 0.0;
|
||||
posa = Math.floor(nbValues / 4);
|
||||
if (4 * posa === nbValues) {
|
||||
return (values[posa - 1] + values[posa]) / 2;
|
||||
} else {
|
||||
return values[posa];
|
||||
return Number(
|
||||
(values[posa - 1] + values[posa]) / 2
|
||||
);
|
||||
}
|
||||
return Number(values[posa]);
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate the upper quartile of passed values.
|
||||
* @param {Array} [values=[]] List of values
|
||||
* @returns {Number}
|
||||
*/
|
||||
calcQ3(values = []) {
|
||||
let nbValues = values.length;
|
||||
let posa = 0.0;
|
||||
|
|
@ -356,16 +479,32 @@ export default class ColOps extends Feature {
|
|||
posa = Math.floor(nbValues / 4);
|
||||
if (4 * posa === nbValues) {
|
||||
posb = 3 * posa;
|
||||
return (values[posb] + values[posb - 1]) / 2;
|
||||
} else {
|
||||
return values[nbValues - posa - 1];
|
||||
return Number(
|
||||
(values[posb] + values[posb - 1]) / 2
|
||||
);
|
||||
}
|
||||
return Number(values[nbValues - posa - 1]);
|
||||
}
|
||||
|
||||
/**
|
||||
* Sort passed values with supplied sorter function.
|
||||
* @param {Array} [values=[]] List of values to be sorted
|
||||
* @param {Function} sorter Sorter function
|
||||
* @returns {Array}
|
||||
*/
|
||||
sortColumnValues(values = [], sorter) {
|
||||
return values.sort(sorter);
|
||||
}
|
||||
|
||||
/**
|
||||
* Write calculation result in passed DOM element with supplied write method
|
||||
* and decimal precision.
|
||||
* @param {Number} [result=0] Calculation result
|
||||
* @param {DOMElement} label DOM element
|
||||
* @param {String} [writeType='innerhtml'] Write method
|
||||
* @param {Number} [precision=2] Applied decimal precision
|
||||
* @private
|
||||
*/
|
||||
writeResult(result = 0, label, writeType = 'innerhtml', precision = 2) {
|
||||
let labelElm = elm(label);
|
||||
|
||||
|
|
@ -386,23 +525,20 @@ export default class ColOps extends Feature {
|
|||
labelElm.value = result;
|
||||
break;
|
||||
case 'createtextnode':
|
||||
let oldnode = labelElm.firstChild;
|
||||
let txtnode = createText(result);
|
||||
labelElm.replaceChild(txtnode, oldnode);
|
||||
let oldNode = labelElm.firstChild;
|
||||
let txtNode = createText(result);
|
||||
labelElm.replaceChild(txtNode, oldNode);
|
||||
break;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
/**
|
||||
* Remove extension
|
||||
*/
|
||||
/** Remove extension */
|
||||
destroy() {
|
||||
if (!this.initialized) {
|
||||
return;
|
||||
}
|
||||
// unsubscribe to events
|
||||
this.emitter.off(EVENTS, () => this.calc());
|
||||
this.emitter.off(EVENTS, () => this.calcAll());
|
||||
|
||||
this.initialized = false;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -27,6 +27,18 @@
|
|||
<td></td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>Tot</td>
|
||||
<td></td>
|
||||
<td></td>
|
||||
<td id="sum3" align="right"></td>
|
||||
<td id="sum4" align="right"></td>
|
||||
<td></td>
|
||||
<td></td>
|
||||
<td></td>
|
||||
<td></td>
|
||||
<td></td>
|
||||
</tr>
|
||||
</tfoot>
|
||||
<tbody>
|
||||
<tr>
|
||||
|
|
@ -350,4 +362,4 @@
|
|||
<td>88.233.19.89</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</table>
|
||||
|
|
|
|||
|
|
@ -88,7 +88,7 @@ var tfConfig = {
|
|||
{ type: 'date', locale: 'en', format: ['{dd}-{months}-{yyyy|yy}'] },
|
||||
'ipaddress'
|
||||
],
|
||||
rows_always_visible: [totRowIndex],
|
||||
rows_always_visible: [totRowIndex-1, totRowIndex],
|
||||
on_filters_loaded: function(tf){
|
||||
tf.setFilterValue(3, '>1.000');
|
||||
tf.setFilterValue(4, '<2,500');
|
||||
|
|
@ -100,13 +100,28 @@ var tfConfig = {
|
|||
{ name: 'sort' },
|
||||
{
|
||||
name: 'colOps',
|
||||
id: ['sum1', 'sum2'],
|
||||
col: [3, 4],
|
||||
operation: ['sum', 'mean'],
|
||||
write_method: ['innerhtml', 'innerhtml'],
|
||||
exclude_row: [totRowIndex],
|
||||
decimal_precision: [2, 2],
|
||||
tot_row_index: [totRowIndex],
|
||||
id: [
|
||||
'sum1', 'sum3',
|
||||
'sum2', 'sum4'
|
||||
],
|
||||
col: [
|
||||
3, 3,
|
||||
4, 4
|
||||
],
|
||||
operation: [
|
||||
'sum', 'mean',
|
||||
'max', 'q3'
|
||||
],
|
||||
write_method: [
|
||||
'innerhtml', 'innerhtml',
|
||||
'innerhtml', 'innerhtml'
|
||||
],
|
||||
exclude_row: [totRowIndex-1, totRowIndex],
|
||||
decimal_precision: [
|
||||
2, 1,
|
||||
2, 1
|
||||
],
|
||||
tot_row_index: [totRowIndex-1, totRowIndex],
|
||||
on_after_operation: formatTotals
|
||||
}
|
||||
]
|
||||
|
|
|
|||
Loading…
Reference in a new issue