Echarts sample code for using multiple X-axes to achieve seven-day weather forecast

Echarts sample code for using multiple X-axes to achieve seven-day weather forecast

UI Design

Design Effect

Echarts example effect

Example Effect

Preface

For the design drawings given by UI, various meteorological websites have similar effects, and the implementation methods can be divided into two categories:

  1. Grid layout + chart framework to draw temperature curve;
  2. Grid layout + canvas self-drawn temperature curve;

The common point of these two implementation methods is that the curve and the description text above are separated. The difficulty of this is to achieve adaptive alignment of the date icon part and the temperature curve part. Because my CSS experience is relatively weak and I use the Echarts chart framework relatively more, I decided to try using Echarts ( version: 4.6.0 ) to achieve the above effect. After checking the document, I found that Echarts supports multiple X-axes and rich text display. The display position can be controlled by adjusting the X-axis offset. At the same time, rich text supports setting background icons, which can be used to display weather icons. After some testing, I got the following sample code.

Sample Code

The following code can be imported into Echarts and run directly:

var option = {
        grid: {
          show: true,
          backgroundColor: 'transparent',
          opacity: 0.3,
          borderWidth: '0',
          top: '180',
          bottom: '0'
        },
        tooltip: {
          trigger: 'axis'
        },
        legend: {
          show:false
        },
        xAxis: [
          // date{
            type: 'category',
            boundaryGap: false,
            position: 'top',
            offset: 130,
            zlevel: 100,
            axisLine: {
              show:false
            },
            axisTick: {
              show:false
            },
            axisLabel: {
              interval: 0,
              formatter: [
                '{a|{value}}'
              ].join('\n'),
              rich:
                a: {
                  // color: 'white',
                  fontSize: 18
                }
              }
            },
            nameTextStyle: {

            },
            data: ["25th","26th","27th","28th","29th","30th","31st"]
          },
          // Week{
            type: 'category',
            boundaryGap: false,
            position: 'top',
            offset: 110,
            zlevel: 100,
            axisLine: {
              show:false
            },
            axisTick: {
              show:false
            },
            axisLabel: {
              interval: 0,
              formatter: [
                '{a|{value}}'
              ].join('\n'),
              rich:
                a: {
                  // color: 'white',
                  fontSize: 14
                }
              }
            },
            nameTextStyle: {
              fontWeight: 'bold',
              fontSize: 19
            },
            data: ["Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"]
          },
          // Weather Icon {
            type: 'category',
            boundaryGap: false,
            position: 'top',
            offset: 20,
            zlevel: 100,
            axisLine: {
              show:false
            },
            axisTick: {
              show:false
            },
            axisLabel: {
              interval: 0,
              formatter: function(value, index) {
                return '{' + index + '| }\n{b|' + value + '}'
              },
              rich:
                0: {
                  backgroundColor:
                    // image: require('@/assets/weather_icon/' + this.weatherIconDic[this.weatherdata.weather[0]] + '.png')
                    image: 'https://d.scggqx.com/forecast/img/小雨.png'
                  },
                  height: 40,
                  width: 40
                },
                1: {
                  backgroundColor:
                    // image: require('@/assets/weather_icon/' + this.weatherIconDic[this.weatherdata.weather[1]] + '.png')
                    image: 'https://d.scggqx.com/forecast/img/小雨.png'
                  },
                  height: 40,
                  width: 40
                },
                2: {
                  backgroundColor:
                    // image: require('@/assets/weather_icon/' + this.weatherIconDic[this.weatherdata.weather[2]] + '.png')
                    image: 'https://d.scggqx.com/forecast/img/阴.png'
                  },
                  height: 40,
                  width: 40
                },
                3: {
                  backgroundColor:
                    // image: require('@/assets/weather_icon/' + this.weatherIconDic[this.weatherdata.weather[3]] + '.png')
                    image: 'https://d.scggqx.com/forecast/img/小雨.png'
                  },
                  height: 40,
                  width: 40
                },
                4: {
                  backgroundColor:
                    // image: require('@/assets/weather_icon/' + this.weatherIconDic[this.weatherdata.weather[4]] + '.png')
                    image: 'https://d.scggqx.com/forecast/img/多云.png'
                  },
                  height: 40,
                  width: 40
                },
                5: {
                  backgroundColor:
                    // image: require('@/assets/weather_icon/' + this.weatherIconDic[this.weatherdata.weather[5]] + '.png')
                    image: 'https://d.scggqx.com/forecast/img/小雨.png'
                  },
                  height: 40,
                  width: 40
                },
                6: {
                  backgroundColor:
                    // image: require('@/assets/weather_icon/' + this.weatherIconDic[this.weatherdata.weather[6]] + '.png')
                    image: 'https://d.scggqx.com/forecast/img/小雨.png'
                  },
                  height: 40,
                  width: 40
                },
                b: {
                  // color: 'white',
                  fontSize: 12,
                  lineHeight: 30,
                  height: 20
                }
              }
            },
            nameTextStyle: {
              fontWeight: 'bold',
              fontSize: 19
            },
            // data: this.weatherdata.weather
            data: ["light rain","light rain","cloudy","light rain","cloudy","light rain","light rain"]
          }
        ],
        yAxis: {
          type: 'value',
          show: false,
          axisLabel: {
            formatter: '{value} °C',
            color: 'white'
          }
        },
        series: [
          {
            name: 'Maximum temperature',
            type: 'line',
            data: ["16.3","16.2","17.6","14.2","17.6","15.7","14.3"],
            symbol: 'emptyCircle',
            symbolSize: 10,
            showSymbol: true,
            smooth: true,
            itemStyle: {
              normal: {
                color: '#C95843'
              }
            },
            label: {
              show: true,
              position: 'top',
              // color: 'white',
              formatter: '{c} °C'
            },
            lineStyle:
              width: 1,
              // color: 'white'
            },
            areaStyle: {
              opacity: 1,
              color: 'transparent'
            }
          },
          {
            name: 'Minimum temperature',
            type: 'line',
            data: ["13.4","12.8","13.5","12.5","12.4","13.2","13"],
            symbol: 'emptyCircle',
            symbolSize: 10,
            showSymbol: true,
            smooth: true,
            itemStyle: {
              normal: {
                color: 'blue'
              }
            },
            label: {
              show: true,
              position: 'bottom',
              // color: 'white',
              formatter: '{c} °C'
            },
            lineStyle:
              width: 1,
              // color: 'white'
            },
            areaStyle: {
              opacity: 1,
              color: 'transparent'
            }
          }
        ]
      }

The most difficult part of the above code is the setting of the weather icon. Since the value in the formatter method of axisLabel cannot be used in rich text, the subscript of the value is set to the css name in the rich text in the formatter method, and then the subscript is used to obtain the icon name to be displayed when setting the weather icon.

//axisLabel's formatter methodformatter: function(value, index) {
 return '{' + index + '| }\n{b|' + value + '}'
}

// axisLabel's rich method rich: {
	index: {
	     backgroundColor:
	       image: require('@/assets/weather_icon/' + this.weatherIconDic[this.weatherdata.weather[index]] + '.png')
	     },
	     height: 40,
	     width: 40
	   }
   }

Note :
1. this.weatherIconDic is a data dictionary of a weather icon I defined locally. : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :
2. this.weatherdata.weather is the weather type sent back by the backend. (For example: ["light rain", "light rain", "overcast", "light rain", "cloudy", "light rain", "light rain", "light rain"])

Final result

insert image description here

This concludes this article about the sample code for using Echarts to achieve a seven-day weather forecast using multiple X-axes. For more information about Echarts multi-X-axis weather forecast, please search previous articles on 123WORDPRESS.COM or continue browsing the following related articles. I hope you will support 123WORDPRESS.COM in the future!

You may also be interested in:
  • echarts implements getting the starting value of datazoom (including x-axis and y-axis)
  • Detailed explanation of the numerical example code of echarts statistics x-axis interval

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