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我正在使用Google Geochart API來實施印度政治地圖的智慧型報告。我使用了下面的代碼：Google Geochart：針對有爭議的地區的顏色代碼不正確
google.load('visualization', '1', {'packages': ['geochart']});
google.setOnLoadCallback(drawVisualization);
function drawVisualization() {
var data = new google.visualization.DataTable();
data.addColumn('string', 'Country');
data.addColumn('number', 'Value');
data.addColumn({type:'string', role:'tooltip'});
var ivalue = new Array();
data.addRows([[{v:'IN-AP',f:'Andhra Pradesh'}, 5,'5']]);
ivalue['IN-AP'] = 'http://en.wikipedia.org/wiki/Andhra_Pradesh';
data.addRows([[{v:'IN-AR',f:'Arunachal Pradesh'},4,'4']]);
ivalue['IN-AR'] = 'http://en.wikipedia.org/wiki/Arunachal_Pradesh';
data.addRows([[{v:'IN-AS',f:'Assam'},2,'2']]);
ivalue['IN-AS'] = 'http://en.wikipedia.org/wiki/Assam';
data.addRows([[{v:'IN-BR',f:'Bihar'},3,'3']]);
ivalue['IN-BR'] = 'http://en.wikipedia.org/wiki/Bihar';
data.addRows([[{v:'IN-CT',f:'Chhattisgarh'},4,'4']]);
ivalue['IN-CT'] = 'http://en.wikipedia.org/wiki/Chhattisgarh';
data.addRows([[{v:'IN-GA',f:'Goa'},5,'5']]);
ivalue['IN-GA'] = 'http://en.wikipedia.org/wiki/Goa';
data.addRows([[{v:'IN-GJ',f:'Gujarat'},6,'6']]);
ivalue['IN-GJ'] = 'http://en.wikipedia.org/wiki/Gujarat';
data.addRows([[{v:'IN-HR',f:'Haryana'},7,'7']]);
ivalue['IN-HR'] = 'http://en.wikipedia.org/wiki/Haryana';
data.addRows([[{v:'IN-HP',f:'Himachal Pradesh'},7,'3']]);
ivalue['IN-HP'] = 'http://en.wikipedia.org/wiki/Himachal_Pradesh';
data.addRows([[{v:'IN-JK',f:'Jammu and Kashmir'},3,'3']]);
ivalue['IN-JK'] = 'http://en.wikipedia.org/wiki/Jammu_and_Kashmir';
data.addRows([[{v:'IN-JH',f:'Jharkhand'},4,'4']]);
ivalue['IN-JH'] = 'http://en.wikipedia.org/wiki/Jharkhand';
data.addRows([[{v:'IN-KA',f:'Karnataka'},8,'8']]);
ivalue['IN-KA'] = 'http://en.wikipedia.org/wiki/Karnataka';
data.addRows([[{v:'IN-KL',f:'Kerala'},7,'7']]);
ivalue['IN-KL'] = 'http://en.wikipedia.org/wiki/Kerala';
data.addRows([[{v:'IN-MP',f:'Madhya Pradesh'},8,'8']]);
ivalue['IN-MP'] = 'http://en.wikipedia.org/wiki/Madhya_Pradesh';
data.addRows([[{v:'IN-MH',f:'Maharashtra'},9,'9']]);
ivalue['IN-MH'] = 'http://en.wikipedia.org/wiki/Maharashtra';
data.addRows([[{v:'IN-MN',f:'Manipur'},7,'7']]);
ivalue['IN-MN'] = 'http://en.wikipedia.org/wiki/Manipur';
data.addRows([[{v:'IN-ML',f:'Meghalaya'},4,'4']]);
ivalue['IN-ML'] = 'http://en.wikipedia.org/wiki/Meghalaya';
data.addRows([[{v:'IN-MZ',f:'Mizoram'},3,'3']]);
ivalue['IN-MZ'] = 'http://en.wikipedia.org/wiki/Mizoram';
data.addRows([[{v:'IN-NL',f:'Nagaland'},2,'2']]);
ivalue['IN-NL'] = 'http://en.wikipedia.org/wiki/Nagaland';
data.addRows([[{v:'IN-OR',f:'Orissa'},4,'4']]);
ivalue['IN-OR'] = 'http://en.wikipedia.org/wiki/Orissa';
data.addRows([[{v:'IN-PB',f:'Punjab'},5,'5']]);
ivalue['IN-PB'] = 'http://en.wikipedia.org/wiki/Punjab';
data.addRows([[{v:'IN-RJ',f:'Rajasthan'},7,'7']]);
ivalue['IN-RJ'] = 'http://en.wikipedia.org/wiki/Rajasthan';
data.addRows([[{v:'IN-SK',f:'Sikkim'},4,'4']]);
ivalue['IN-SK'] = 'http://en.wikipedia.org/wiki/Sikkim';
data.addRows([[{v:'IN-TN',f:'Tamil Nadu'},8,'8']]);
ivalue['IN-TN'] = 'http://en.wikipedia.org/wiki/Tamil_Nadu';
data.addRows([[{v:'IN-TR',f:'Tripura'},3,'3']]);
ivalue['IN-TR'] = 'http://en.wikipedia.org/wiki/Tripura';
data.addRows([[{v:'IN-UT',f:'Uttarakhand'},4,'4']]);
ivalue['IN-UT'] = 'http://en.wikipedia.org/wiki/Uttarakhand';
data.addRows([[{v:'IN-UP',f:'Uttar Pradesh'},8,'8']]);
ivalue['IN-UP'] = 'http://en.wikipedia.org/wiki/Uttar_Pradesh';
data.addRows([[{v:'IN-WB',f:'West Bengal'},7,'7']]);
ivalue['IN-WB'] = 'http://en.wikipedia.org/wiki/West_Bengal';
data.addRows([[{v:'IN-AN',f:'Andaman and Nicobar Islands'},2,'2']]);
ivalue['IN-AN'] = 'http://en.wikipedia.org/wiki/Andaman_and_Nicobar_Islands';
data.addRows([[{v:'IN-CH',f:'Chandigarh'},6,'6']]);
ivalue['IN-CH'] = 'http://en.wikipedia.org/wiki/Chandigarh';
data.addRows([[{v:'IN-DN',f:'Dadra and Nagar Haveli'},4,'4']]);
ivalue['IN-DN'] = 'http://en.wikipedia.org/wiki/Dadra_and_Nagar_Haveli';
data.addRows([[{v:'IN-DD',f:'Daman and Diu'},2,'2']]);
ivalue['IN-DD'] = 'http://en.wikipedia.org/wiki/Daman_and_Diu';
data.addRows([[{v:'IN-DL',f:'Delhi'},10,'10']]);
ivalue['IN-DL'] = 'http://en.wikipedia.org/wiki/Delhi';
data.addRows([[{v:'IN-LD',f:'Lakshadweep'},1,'1']]);
ivalue['IN-LD'] = 'http://en.wikipedia.org/wiki/Lakshadweep';
data.addRows([[{v:'IN-PY',f:'Puducherry (Pondicherry)'},6,'6']]);
ivalue['IN-PY'] = 'http://en.wikipedia.org/wiki/Puducherry';
var options = {
backgroundColor: {fill:'#FFFFFF',stroke:'#FFFFFF' ,strokeWidth:0 },
colorAxis: {colors: ['yellow','orange', 'red']},
backgroundColor: {fill:'#FFFFFF',stroke:'#FFFFFF' ,strokeWidth:0 },
datalessRegionColor: '#FFFFFF',
displayMode: 'regions',
enableRegionInteractivity: 'true',
resolution: 'provinces',
sizeAxis: {minValue: 1, maxValue:1,minSize:10, maxSize: 10},
region:'IN',
keepAspectRatio: true,
width:800,
height:500,
tooltip: {textStyle: {color: '#444444'}, trigger:'focus'}
};
var chart = new google.visualization.GeoChart(document.getElementById('visualization'));
google.visualization.events.addListener(chart, 'select', function() {
var selection = chart.getSelection();
if (selection.length == 1) {
var selectedRow = selection[0].row;
var selectedRegion = data.getValue(selectedRow, 0);
if(ivalue[selectedRegion] != '') { window.open(ivalue[selectedRegion]); }
}
});
chart.draw(data, options);
}
在這裏，最頂級的狀態即。查謨和克什米爾有爭議。有什麼方法可以實施以下任何一種：
1.我可以移除有爭議的區域並以適當的顏色顯示整個狀態。
2.或任何如何顯示爭議狀態的有爭議和無爭議的區域相同的顏色。
我們還可以在「解決方案：'省份'」的選項中有更多的「區域」嗎？
請幫忙!!
這應該被標記爲正確的答案。 –
@AqibMapari謝謝:) –