Regarding the first issue, it should be series: {1: {type: "line"}}. In
your case, serie 1 (the second serie) is of type line, not serie 4 (the 5th
serie). There are only 2 series, of which serie 0 (candlesticks) consists
of columns 0-3, and serie 1 consists of one column, #4.

On Tue, Jul 10, 2012 at 12:56 AM, asgallant <[email protected]>wrote:

> For the first issue, I said column 5, not the 5th column; use: series:
> {5: {type: "line"}} instead.
>
> As for the second, it seems to be a bug in the CandleStick charts.  This
> bug crops up when using a continuous axis where not all data points are
> adjacent; I'm not sure what the critical separation is to trigger the bug,
> but it definitely occurs when there is a spacing difference > 1 and < 10
> units between some of the data points.  See example here:
> http://jsfiddle.net/asgallant/A947d/
>
>
> On Monday, July 9, 2012 4:43:23 PM UTC-4, kaar wrote:
>>
>> Please refer to the enclosed Data file for 2nd issue.
>> step1) Just save the CSV file and the HTML/javascript of 2nd isse within
>> same folder
>> step2) Just run HTML  to see each candlestick. not a like candlestick
>> step3) and the update VAR PERIOD =22 for both chart1 and chart2, and run
>> it to see each candlestick
>>
>> For the 1st issue, actually, 5th column is  with  series: {4: {type:
>> "line"}  . Still I don't get the point.
>>
>>
>> On Friday, July 6, 2012 6:11:27 PM UTC-5, kaar wrote:
>>>
>>> Hello,
>>>
>>> (1) 1st issue of 2
>>> I just tried to create ComboChart with candlesticks and line by using
>>> data provided example below.
>>> But, it shows error : [Last serie does not have enough data columns
>>> (missing 3)]
>>>
>>> <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://
>>> www.w3.org/TR/xhtml1/DTD/**xhtml1-strict.dtd<http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd>">
>>>
>>> <html xmlns="http://www.w3.org/1999/**xhtml<http://www.w3.org/1999/xhtml>">
>>>
>>>   <head>
>>>     <meta http-equiv="content-type" content="text/html; charset=utf-8"/
>>> >
>>>     <title>
>>>       Google Visualization API Sample
>>>     </title>
>>>     <script type="text/javascript" src="https://www.google.com/
>>> jsapi"></script>
>>>     <script type="text/javascript">
>>>       google.load('visualization', '1', {packages: ['corechart']});
>>>     </script>
>>>     <script type="text/javascript">
>>>       function drawVisualization() {
>>>         // Some raw data (not necessarily accurate)
>>>         var data = google.visualization.**arrayToDataTable([
>>>           ['Month', 'Bolivia', 'Ecuador', 'Madagascar', 'Rwanda',
>>> 'Average'],
>>>           ['2004/05',  165,      938,         522,       450,
>>> 614.6],
>>>           ['2005/06',  135,      1120,        599,       288,
>>> 682],
>>>           ['2006/07',  157,      1167,        587,       397,
>>> 623],
>>>           ['2007/08',  139,      1110,        615,       215,
>>> 609.4],
>>>           ['2008/09',  136,      691,         629,       366,
>>> 569.6]
>>>         ]);
>>>
>>>         var options = {
>>>           title : 'Monthly Coffee Production by Country',
>>>           vAxis: {title: "Cups"},
>>>           hAxis: {title: "Month"},
>>>           seriesType: "candlesticks",
>>>           series: {4: {type: "line"}}
>>>         };
>>>
>>>         var chart = new
>>> google.visualization.**ComboChart(document.**getElementById('chart_div'));
>>>
>>>         chart.draw(data, options);
>>>       }
>>>       google.setOnLoadCallback(**drawVisualization);
>>>     </script>
>>>   </head>
>>>   <body>
>>>     <div id="chart_div" style="width: 900px; height: 500px;"></div>
>>>   </body>
>>> </html>
>>>
>>> (2) 2nd issue of 2
>>> When I draw candlesticks chart with data provided by CSV file.  By
>>> adding 22 rows, each candlestick looks good.
>>> but, Over by adding 22 rows, for example 100 rows, each candlestick is
>>> not a like candlestick. How to improve
>>>
>>> <html xmlns="http://www.w3.org/1999/**xhtml<http://www.w3.org/1999/xhtml>">
>>>
>>>   <head>
>>>     <meta http-equiv="content-type" content="text/html; charset=utf-8"/
>>> >
>>>     <title>
>>>       Google Visualization API Sample
>>>     </title>
>>>     <script type="text/javascript" src="https://www.google.com/
>>> jsapi"></script>
>>>     <script type="text/javascript">
>>>       google.load('visualization', '1', {packages: ['corechart']});
>>>     </script>
>>>     <script type="text/javascript">
>>>     var csvFile = "AAPL.csv";
>>>     readCSV(csvFile)
>>>
>>>     function readCSV(localFile) {
>>>         var allText = [];
>>>         var allLine = [];
>>>         var openFile = new XMLHttpRequest();
>>>
>>>         openFile.open("GET", localFile, false);
>>>         openFile.send();
>>>
>>>         allText = openFile.responseText;
>>>         allLine = allText.split(/\r\n|\n/);
>>>
>>>         //Display each line
>>>         //for (i=0; i<allLine.length; i++) {
>>>         //for (i=0; i<2; i++) {
>>>         //    document.write(allLine[i] + "<br/>");
>>>         //}
>>>
>>>         var headRow = [];
>>>         headRow = allLine[0].split(',');
>>>         //Display each column of head row
>>>         //for (h=0; h<headRow.length; h++) {
>>>         //    document.write(h + ": " + headRow[h] + "<br/>");
>>>         //}
>>>
>>>         function stockPrice(date,open,high,low,**close,volume,adjust) {
>>>             this.date = date;
>>>             this.open = open;
>>>             this.high = high;
>>>             this.low = low;
>>>             this.close = close;
>>>             this.volume = volume;
>>>             this.adjust = adjust;
>>>         }
>>>
>>>         var stockPrices = [];
>>>         var tempRow = [];
>>>         var tempDay = [];
>>>         for (i=1; i<allLine.length; i++) {
>>>             tempRow = allLine[i].split(',');
>>>             tempDay = tempRow[0].split('-');
>>>             //Month 0 = January
>>>             var dateForm = new
>>> Date(parseInt(tempDay[0]),**parseInt(tempDay[1])-1,**parseInt(tempDay[2]));
>>>
>>>             stockPrices[i-1] = new
>>> stockPrice(dateForm,**parseFloat(tempRow[1]),**parseFloat(tempRow[2]),**
>>> parseFloat(tempRow[3]),**parseFloat(tempRow[4]),**
>>> parseFloat(tempRow[5]),**parseFloat(tempRow[6]));
>>>             tempRow = [];
>>>             tempDay = [];
>>>         }
>>>
>>>         //Display stockPrices Class
>>>         // for (j=0; j<5; j++) {
>>>         //    document.write(stockPrices[j]**.date + " : ");
>>>         //    document.write(stockPrices[j]**.volume);
>>>         //    document.write("<br/>");
>>>         //}
>>>
>>>         //
>>> Graph1////////////////////////**//////////////////////////////**
>>> //////////////////////////////**///////////////
>>>         function drawVisualization1() {
>>>
>>>             var period = 100;  // verify 22 rows, it looks good
>>>
>>>             var priceMax = stockPrices[0].high;
>>>             var priceMin = stockPrices[0].low;
>>>
>>>             for (i=1; i<period; i++) {
>>>                 if (priceMax < stockPrices[i].high) {priceMax =
>>> stockPrices[i].high;}
>>>                 if (priceMin > stockPrices[i].low) {priceMin =
>>> stockPrices[i].low;}
>>>             }
>>>
>>>             var haxisMax = (priceMax - priceMin) * 1.2;
>>>             var haxisMin = (priceMax - priceMin) * 0.8;
>>>
>>>             var data = new google.visualization.**DataTable();
>>>             data.addColumn('date','Daily')**;
>>>             data.addColumn('number','low')**;
>>>             data.addColumn('number','open'**);
>>>             data.addColumn('number','**close');
>>>             data.addColumn('number','high'**);
>>>             data.addRows(period);
>>>
>>>             for (i=0; i<period; i++) {
>>>                 data.setCell(i,0,stockPrices[**i].date);
>>>                 data.setCell(i,1,stockPrices[**i].low);
>>>                 data.setCell(i,2,stockPrices[**i].open);
>>>                 data.setCell(i,3,stockPrices[**i].close);
>>>                 data.setCell(i,4,stockPrices[**i].high);
>>>             }
>>>
>>>             var options = {
>>>                 legend:'none',  // title: 'Stock Price Chart',
>>>                 vAxis: {title: 'Price [dollars]', titleTextStyle:
>>> {color: 'blue'}},
>>>                 hAxis: {maxValue: haxisMax, minValue: haxisMin},
>>>                 chartArea:{left:50,top:20,**width:"95%",height:"95%"}
>>> //
>>> no commna on the last option
>>>             };
>>>
>>>             var chart = new
>>> google.visualization.**CandlestickChart(document.**getElementById('Chart1'));
>>>
>>>             chart.draw(data, options);
>>>         }
>>>         google.setOnLoadCallback(**drawVisualization1);
>>>
>>>         //
>>> Graph2////////////////////////**//////////////////////////////**
>>> //////////////////////////////**/////////////
>>>         function drawVisualization2() {
>>>
>>>             var period = 100;  // verify 22 rows, it looks good
>>>
>>>             var data = new google.visualization.**DataTable();
>>>             data.addColumn('date','Daily')**;
>>>             data.addColumn('number','**volume');
>>>             data.addRows(period);
>>>
>>>             for (i=0; i<period; i++) {
>>>                 data.setCell(i,0,stockPrices[**i].date);
>>>                 data.setCell(i,1,stockPrices[**i].volume/1000000);
>>>             }
>>>
>>>             var options = {
>>>                 legend:'none',  // title: 'Stock Price Chart',
>>>                 vAxis: {title: 'Volume', titleTextStyle: {color:
>>> 'blue'}},
>>>                 hAxis: {minValue: 0},
>>>                 chartArea:{left:50,top:20,**width:"95%",height:"75%"}
>>> //
>>> no commna on the last option
>>>             };
>>>
>>>             var chart = new
>>> google.visualization.**ColumnChart(document.**getElementById('Chart2'));
>>>
>>>             chart.draw(data, options);
>>>         }
>>>         google.setOnLoadCallback(**drawVisualization2);
>>>
>>>     }
>>>     </script>
>>>   </head>
>>>   <body>
>>>     <div id="Chart1" style="width: 900px; height: 600px;"></div>
>>>     <div id="Chart2" style="width: 900px; height: 150px;"></div>
>>>   </body>
>>> </html>
>>>
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