怎样给时间轴绑定click事件echarts bar' }, { name: '金融配置项内容和展示

怎样给时间轴绑定click事件

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dataMap.dataFinancial = dataFormatter({
    //max : 3200,
    2011: [2215.41, 756.5, 746.01, 519.32, 447.46, 755.57, 207.65, 370.78, 2277.4, 2600.11, 2730.29, 503.85, 862.41, 357.44, 1640.41, 868.2, 674.57, 501.09, 2916.13, 445.37, 105.24, 704.66, 868.15, 297.27, 456.23, 31.7, 432.11, 145.05, 62.56, 134.18, 288.77],
    2010: [1863.61, 572.99, 615.42, 448.3, 346.44, 639.27, 190.12, 304.59, 1950.96, 2105.92, 2326.58, 396.17, 767.58, 241.49, 1361.45, 697.68, 561.27, 463.16, 2658.76, 384.53, 78.12, 496.56, 654.7, 231.51, 375.08, 27.08, 384.75, 100.54, 54.53, 97.87, 225.2],
    2009: [1603.63, 461.2, 525.67, 361.64, 291.1, 560.2, 180.83, 227.54, 1804.28, 1596.98, 1899.33, 359.6, 612.2, 165.1, 1044.9, 499.92, 479.11, 402.57, 2283.29, 336.82, 65.73, 389.97, 524.63, 194.44, 351.74, 23.17, 336.21, 88.27, 45.63, 75.54, 198.87],
    2008: [1519.19, 368.1, 420.74, 290.91, 219.09, 455.07, 147.24, 177.43, 1414.21, 1298.48, 1653.45, 313.81, 497.65, 130.57, 880.28, 413.83, 393.05, 334.32, 1972.4, 249.01, 47.33, 303.01, 411.14, 151.55, 277.66, 22.42, 287.16, 72.49, 36.54, 64.8, 171.97],
    2007: [1302.77, 288.17, 347.65, 218.73, 148.3, 386.34, 126.03, 155.48, 1209.08, 1054.25, 1251.43, 223.85, 385.84, 101.34, 734.9, 302.31, 337.27, 260.14, 1705.08, 190.73, 34.43, 247.46, 359.11, 122.25, 168.55, 11.51, 231.03, 61.6, 27.67, 51.05, 149.22],
    2006: [982.37, 186.87, 284.04, 169.63, 108.21, 303.41, 100.75, 74.17, 825.2, 653.25, 906.37, 166.01, 243.9, 79.75, 524.94, 219.72, 174.99, 204.72, 899.91, 129.14, 16.37, 213.7, 299.5, 89.43, 143.62, 6.44, 152.25, 50.51, 23.69, 36.99, 99.25],
    2005: [840.2, 147.4, 213.47, 135.07, 72.52, 232.85, 83.63, 35.03, 675.12, 492.4, 686.32, 127.05, 186.12, 69.55, 448.36, 181.74, 127.32, 162.37, 661.81, 91.93, 13.16, 185.18, 262.26, 73.67, 130.5, 7.57, 127.58, 44.73, 20.36, 32.25, 80.34],
    2004: [713.79, 136.97, 209.1, 110.29, 55.89, 188.04, 77.17, 32.2, 612.45, 440.5, 523.49, 94.1, 171, 65.1, 343.37, 170.82, 118.85, 118.64, 602.68, 74, 11.56, 162.38, 236.5, 60.3, 118.4, 5.4, 90.1, 42.99, 19, 27.92, 70.3],
    2003: [635.56, 112.79, 199.87, 118.48, 55.89, 145.38, 73.15, 32.2, 517.97, 392.11, 451.54, 87.45, 150.09, 64.31, 329.71, 165.11, 107.31, 99.35, 534.28, 61.59, 10.68, 147.04, 206.24, 48.01, 105.48, 4.74, 77.87, 42.31, 17.98, 24.8, 64.92],
    2002: [561.91, 76.86, 179.6, 124.1, 48.39, 137.18, 75.45, 31.6, 485.25, 368.86, 347.53, 81.85, 138.28, 76.51, 310.07, 158.77, 96.95, 92.43, 454.65, 35.86, 10.08, 134.52, 183.13, 41.45, 102.39, 2.81, 67.3, 42.08, 16.75, 21.45, 52.18]
});


option = {
    baseOption: {
        timeline: {
            // y: 0,
            axisType: 'category',
            // realtime: false,
            // loop: false,
            autoPlay: true,
            // currentIndex: 2,
            playInterval: 1000,
            // controlStyle: {
            //     position: 'left'
            // },
            data: [
                '2002-01-01', '2003-01-01', '2004-01-01', {
                    value: '2005-01-01',
                    tooltip: {
                        formatter: '{b} GDP达到一个高度'
                    },
                    symbol: 'diamond',
                    symbolSize: 16
                },
                '2006-01-01', '2007-01-01', '2008-01-01', '2009-01-01', '2010-01-01', {
                    value: '2011-01-01',
                    tooltip: {
                        formatter: function(params) {
                            return params.name + 'GDP达到又一个高度';
                        }
                    },
                    symbol: 'diamond',
                    symbolSize: 18
                },
            ],
            label: {
                formatter: function(s) {
                    return (new Date(s)).getFullYear();
                }
            }
        },
        title: {
            subtext: '数据来自国家统计局'
        },
        tooltip: {},
        legend: {
            x: 'right',
            data: ['第一产业', '第二产业', '第三产业', 'GDP', '金融', '房地产'],
            selected: {
                'GDP': false,
                '金融': false,
                '房地产': false
            }
        },
        calculable: true,
        grid: {
            top: 80,
            bottom: 100
        },
        xAxis: [{
            'type': 'category',
            'axisLabel': {
                'interval': 0
            },
            'data': [
                '北京', '\n天津', '河北', '\n山西', '内蒙古', '\n辽宁', '吉林', '\n黑龙江',
                '上海', '\n江苏', '浙江', '\n安徽', '福建', '\n江西', '山东', '\n河南',
                '湖北', '\n湖南', '广东', '\n广西', '海南', '\n重庆', '四川', '\n贵州',
                '云南', '\n西藏', '陕西', '\n甘肃', '青海', '\n宁夏', '新疆'
            ],
            splitLine: {
                show: false
            }
        }],
        yAxis: [{
            type: 'value',
            name: 'GDP（亿元）'
        }],
        series: [{
            name: 'GDP',
            type: 'bar'
        }, {
            name: '金融',
            type: 'bar'
        }, {
            name: '房地产',
            type: 'bar'
        }, {
            name: '第一产业',
            type: 'bar'
        }, {
            name: '第二产业',
            type: 'bar'
        }, {
            name: '第三产业',
            type: 'bar'
        }, {
            name: 'GDP占比',
            type: 'pie',
            center: ['75%', '35%'],
            radius: '28%'
        }]
    },
    options: [{
        title: {
            text: '2002全国宏观经济指标'
        },
        series: [{
            data: dataMap.dataGDP['2002']
        }, {
            data: dataMap.dataFinancial['2002']
        }, {
            data: dataMap.dataEstate['2002']
        }, {
            data: dataMap.dataPI['2002']
        }, {
            data: dataMap.dataSI['2002']
        }, {
            data: dataMap.dataTI['2002']
        }, {
            data: [{
                name: '第一产业',
                value: dataMap.dataPI['2002sum']
            }, {
                name: '第二产业',
                value: dataMap.dataSI['2002sum']
            }, {
                name: '第三产业',
                value: dataMap.dataTI['2002sum']
            }]
        }]
    }, {
        title: {
            text: '2003全国宏观经济指标'
        },
        series: [{
            data: dataMap.dataGDP['2003']
        }, {
            data: dataMap.dataFinancial['2003']
        }, {
            data: dataMap.dataEstate['2003']
        }, {
            data: dataMap.dataPI['2003']
        }, {
            data: dataMap.dataSI['2003']
        }, {
            data: dataMap.dataTI['2003']
        }, {
            data: [{
                name: '第一产业',
                value: dataMap.dataPI['2003sum']
            }, {
                name: '第二产业',
                value: dataMap.dataSI['2003sum']
            }, {
                name: '第三产业',
                value: dataMap.dataTI['2003sum']
            }]
        }]
    }, {
        title: {
            text: '2004全国宏观经济指标'
        },
        series: [{
            data: dataMap.dataGDP['2004']
        }, {
            data: dataMap.dataFinancial['2004']
        }, {
            data: dataMap.dataEstate['2004']
        }, {
            data: dataMap.dataPI['2004']
        }, {
            data: dataMap.dataSI['2004']
        }, {
            data: dataMap.dataTI['2004']
        }, {
            data: [{
                name: '第一产业',
                value: dataMap.dataPI['2004sum']
            }, {
                name: '第二产业',
                value: dataMap.dataSI['2004sum']
            }, {
                name: '第三产业',
                value: dataMap.dataTI['2004sum']
            }]
        }]
    }, {
        title: {
            text: '2005全国宏观经济指标'
        },
        series: [{
            data: dataMap.dataGDP['2005']
        }, {
            data: dataMap.dataFinancial['2005']
        }, {
            data: dataMap.dataEstate['2005']
        }, {
            data: dataMap.dataPI['2005']
        }, {
            data: dataMap.dataSI['2005']
        }, {
            data: dataMap.dataTI['2005']
        }, {
            data: [{
                name: '第一产业',
                value: dataMap.dataPI['2005sum']
            }, {
                name: '第二产业',
                value: dataMap.dataSI['2005sum']
            }, {
                name: '第三产业',
                value: dataMap.dataTI['2005sum']
            }]
        }]
    }, {
        title: {
            text: '2006全国宏观经济指标'
        },
        series: [{
            data: dataMap.dataGDP['2006']
        }, {
            data: dataMap.dataFinancial['2006']
        }, {
            data: dataMap.dataEstate['2006']
        }, {
            data: dataMap.dataPI['2006']
        }, {
            data: dataMap.dataSI['2006']
        }, {
            data: dataMap.dataTI['2006']
        }, {
            data: [{
                name: '第一产业',
                value: dataMap.dataPI['2006sum']
            }, {
                name: '第二产业',
                value: dataMap.dataSI['2006sum']
            }, {
                name: '第三产业',
                value: dataMap.dataTI['2006sum']
            }]
        }]
    }, {
        title: {
            text: '2007全国宏观经济指标'
        },
        series: [{
            data: dataMap.dataGDP['2007']
        }, {
            data: dataMap.dataFinancial['2007']
        }, {
            data: dataMap.dataEstate['2007']
        }, {
            data: dataMap.dataPI['2007']
        }, {
            data: dataMap.dataSI['2007']
        }, {
            data: dataMap.dataTI['2007']
        }, {
            data: [{
                name: '第一产业',
                value: dataMap.dataPI['2007sum']
            }, {
                name: '第二产业',
                value: dataMap.dataSI['2007sum']
            }, {
                name: '第三产业',
                value: dataMap.dataTI['2007sum']
            }]
        }]
    }, {
        title: {
            text: '2008全国宏观经济指标'
        },
        series: [{
            data: dataMap.dataGDP['2008']
        }, {
            data: dataMap.dataFinancial['2008']
        }, {
            data: dataMap.dataEstate['2008']
        }, {
            data: dataMap.dataPI['2008']
        }, {
            data: dataMap.dataSI['2008']
        }, {
            data: dataMap.dataTI['2008']
        }, {
            data: [{
                name: '第一产业',
                value: dataMap.dataPI['2008sum']
            }, {
                name: '第二产业',
                value: dataMap.dataSI['2008sum']
            }, {
                name: '第三产业',
                value: dataMap.dataTI['2008sum']
            }]
        }]
    }, {
        title: {
            text: '2009全国宏观经济指标'
        },
        series: [{
            data: dataMap.dataGDP['2009']
        }, {
            data: dataMap.dataFinancial['2009']
        }, {
            data: dataMap.dataEstate['2009']
        }, {
            data: dataMap.dataPI['2009']
        }, {
            data: dataMap.dataSI['2009']
        }, {
            data: dataMap.dataTI['2009']
        }, {
            data: [{
                name: '第一产业',
                value: dataMap.dataPI['2009sum']
            }, {
                name: '第二产业',
                value: dataMap.dataSI['2009sum']
            }, {
                name: '第三产业',
                value: dataMap.dataTI['2009sum']
            }]
        }]
    }, {
        title: {
            text: '2010全国宏观经济指标'
        },
        series: [{
            data: dataMap.dataGDP['2010']
        }, {
            data: dataMap.dataFinancial['2010']
        }, {
            data: dataMap.dataEstate['2010']
        }, {
            data: dataMap.dataPI['2010']
        }, {
            data: dataMap.dataSI['2010']
        }, {
            data: dataMap.dataTI['2010']
        }, {
            data: [{
                name: '第一产业',
                value: dataMap.dataPI['2010sum']
            }, {
                name: '第二产业',
                value: dataMap.dataSI['2010sum']
            }, {
                name: '第三产业',
                value: dataMap.dataTI['2010sum']
            }]
        }]
    }, {
        title: {
            text: '2011全国宏观经济指标'
        },
        series: [{
            data: dataMap.dataGDP['2011']
        }, {
            data: dataMap.dataFinancial['2011']
        }, {
            data: dataMap.dataEstate['2011']
        }, {
            data: dataMap.dataPI['2011']
        }, {
            data: dataMap.dataSI['2011']
        }, {
            data: dataMap.dataTI['2011']
        }, {
            data: [{
                name: '第一产业',
                value: dataMap.dataPI['2011sum']
            }, {
                name: '第二产业',
                value: dataMap.dataSI['2011sum']
            }, {
                name: '第三产业',
                value: dataMap.dataTI['2011sum']
            }]
        }]
    }]
};