If you’re looking for a powerful and flexible K Chart solution for your Flutter application, look no further than the k_chart library. It’s designed to provide interactive features such as drag, scale, long press, and fling, while remaining user-friendly. In this article, we will walk you through how to get started with k_chart while troubleshooting common issues along the way.

Display

Before diving into the code, let’s take a look at some visual representations of the k_chart.

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Animated Demos

Check out these animated demos to see k_chart in action:

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Getting Started

To get started with k_chart, you need to install the necessary dependencies. Here’s how:

dependencies:
  k_chart: ^0.7.1
  # or use the latest
  k_chart:
    git:
      url: https://github.com/mafanwei/k_chart

Usage

Now, to use the k line chart, insert the following code snippet into your widget:

Container(
  height: 450,
  width: double.infinity,
  child: KChartWidget(
    chartStyle, // Required for styling purposes
    chartColors, // Required for styling purposes
    datas, // Required: Data must be an ordered list (history=now)
    isLine: isLine, // Decide whether it is k-line or time-sharing
    mainState: _mainState, // Decide what the main view shows
    secondaryState: _secondaryState, // Decide what the sub view shows
    fixedLength: 2, // Displayed decimal precision
    timeFormat: TimeFormat.YEAR_MONTH_DAY,
    onLoadMore: (bool a), // Called when the data scrolls to the end
    maDayList: [5, 10, 20], // Display of MA
    translations: kChartTranslations, // Graphic language
    volHidden: false, // Hide volume
    showNowPrice: true, // Show now price
    isOnDrag: (isDrag), // True if on Drag; don't load data while dragging
    onSecondaryTap: (), // On secondary rect tapped
    isTrendLine: false, // Use Trendline by long-pressing and moving
    xFrontPadding: 100 // Padding in front
  ),
),

For creating a depth chart, you can use:

DepthChart(_bids, _asks, chartColors)

It’s essential to note that the data must be an ordered list. To ensure everything works as intended, remember to run this function whenever you update your data:

DataUtil.calculate(datas);

Understanding the Code: An Analogy

Think of creating a K Chart like preparing a delicious meal. Each ingredient represents a parameter in the code:

• Chart Style: This is your seasoning, providing the necessary flavor to make your meal appealing.
• Data: Imagine this as the main dish, it needs to be fresh and ordered for your meal to be tasty and fulfilling.
• isLine: This is like deciding whether you want a spicy or mild dish. It determines the ‘type’ of your chart.
• onLoadMore: Consider this akin to checking if you need to refill the pot when the dish is running low. It triggers a response when more data is needed.

Using the correct combination of these components will enable your app to serve a perfectly cooked K Chart.

Troubleshooting

While working with k_chart, you might encounter a few hiccups along the way. Here are some common troubleshooting steps:

• Data not updating: Ensure that you are calling DataUtil.calculate(datas); after changing your data.
• Chart not displaying correctly: Confirm that your data is indeed an ordered list.
• Unexpected drag behavior: Check the isOnDrag property to ensure it’s set correctly to enable or disable drag functions.
• Feature Requests and Bug Reports: If you encounter bugs or want new features, feel free to create a pull request on the GitHub repository.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Final Thoughts

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.