Bar stacking doesn't work if the x-axis is value type instead of category type

[dirslashls]

Version

5.1.1

Steps to reproduce

Use the following in the editor

option = {
    xAxis: {
        type: 'value',
        data: [1,2,3,4,5,6,7]
    },
    yAxis: {
        type: 'value'
    },
    "legend": {
        "show": true,
        "type": "scroll",
        "padding": 5,
        "selector": [
            "all",
            "inverse"
        ],
        "top": 5
    },
    series: [{
        name: "a",
        data: [120, 200, 150, 80, 70, 110, 130],
        type: 'bar',
        stack: 'one'
    }, {
        name: "b",
        data: [120, 200, 150, 80, 70, 110, 130],
        type: 'bar',
        stack: 'one'
    }]
};

What is expected?

I expected to see a stacked bar chart.

What is actually happening?

It shows only one of the two series.

---

Just change the type from 'value' to 'category' for xAxis and everything is good.

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[angrytongan]

This is very lightly mentioned in the series-bar documentation, but should definitely be more prominent.

[dirslashls]

Some fields like grade of the student are numeric. What I see with bar charts is that they work great with category axis type and the data being string. If it is value type and/or numeric data then there are challenges. Any reason for limiting the full bar chart capabilities for value type and numeric data?

[hughess]

+1 for needing stacking on a value axis.

Biggest problem for me with this is missing values - there may be parts of your x-axis where none of your series have any observations. It's a pain to have to iterate through the dataset and prepare it so that it shows missing data.

For example:

series1 = [
   [3, 10],
   [4, 13],
   [5, 16],
   [8, 21]
]

series2 = [
   [3, 15],
   [4, 17],
   [5, 21],
   [8, 23]
]

Using a category axis with this data won't show 6 or 7 on the axis. Using value would work if stacking was possible.

The current workaround for this would be to iterate through each of these series, see which x values are missing, and recreate the data so that 6 and 7 are included as rows in each dataset.

One approach that might work is to treat this situation in the same way as a histogram:

• Assume a default interval based on the data provided to the chart (e.g., if it's years or integers, interval = 1. If it's a continuous variable, have some default logic to assume an interval)
• Bin the data using the interval
• Plot the data, effectively treating the x-axis as a category axis
• You could probably even explicitly treat the axis as category - at least for me, I don't care if the axis is value or category. I would just prefer not to have to write the code to check/fill values for each chart I build

[github-actions]

This issue has been automatically marked as stale because it did not have recent activity. It will be closed in 7 days if no further activity occurs. If you wish not to mark it as stale, please leave a comment in this issue.

[github-actions]

This issue has been automatically closed because it did not have recent activity. If this remains to be a problem with the latest version of Apache ECharts, please open a new issue and link this to it. Thanks!

[mitar]

This has been mentioned many time in other issues: #16765, #7937. Similar: #16744.