Django Echarts scatter plot data is missing: How to dynamically adjust the axis range to solve the data point display problem?

Troubleshooting and solving the problem of missing data of Django and Echarts

This article analyzes a problem of missing data points encountered when drawing scatter plots using Django and Echarts: the graph coordinate axes are displayed normally, but the data points are missing.

The root cause of the problem lies in the combination of data processing and Echarts configuration. The backend (view.py) has successfully generated association rule data and passed it to the front-end template (course.html) in JSON format. But the front-end code errors when converting JSON data to Echarts acceptable format, causing the scatter plot to not be displayed correctly.

In front-end JavaScript code, bubbledata array is generated correctly, including support, confidence, improvement and other information; xaxisdata and yaxisdata store support and confidence data respectively. However, the problem is the min and max value settings of xAxis and yAxis . The code may preset fixed xAxis.min: 0, xaxis.max: 0.1 and yaxis.min: 0, yaxis.max: 1 . If the data is within this range, the graph displays normally; but outside this range (for example, support exceeds 0.1), the data points will be cropped, resulting in missing displays.

Solution: Dynamically adjust xAxis.max and yAxis.max to include the range of all data points. Dynamically set according to the maximum values ​​of xaxisdata and yaxisdata :

 let xAxisMax = Math.max(...xAxisData);
let yAxisMax = Math.max(...yAxisData);

var option = {
    // ...Other configurations xAxis: {
        name: 'Support',
        min: 0,
        max: xAxisMax * 1.1, // Add 10% buffering// ...
    },
    yAxis: {
        name: 'confidence',
        min: 0,
        max: yAxisMax * 1.1, // Add 10% buffer// ...
    },
    // ...Other configuration};

By dynamically calculating the maximum value and setting xAxis.max and yAxis.max , make sure all data points are within the chart axis range to solve the problem of data missing. * 1.1 coefficients can be adjusted, leaving appropriate visual space. If the problem persists, check if the contents of the bubbledata array are correct, if there is any error message on the browser console, and carefully check the data type to ensure that the support and confidence are numeric types.

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