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https://github.com/Relintai/pmlpp_sample.git
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51 lines
1.7 KiB
GDScript
51 lines
1.7 KiB
GDScript
extends Control
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func _ready():
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# Let's create our @x values
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var x: Array = ArrayOperations.multiply_float(range(-10, 10, 1), 0.5)
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# And our y values. It can be an n-size array of arrays.
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# NOTE: `x.size() == y.size()` or `x.size() == y[n].size()`
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var y: Array = [
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ArrayOperations.multiply_int(ArrayOperations.cos(x), 20),
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ArrayOperations.add_float(ArrayOperations.multiply_int(ArrayOperations.sin(x), 20), 20)
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]
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# Add some labels for the x axis, we don't want to use our x values array
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# they will be printed on the chart ticks instead of the value of the x axis.
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var x_labels: Array = ArrayOperations.suffix(x, "s")
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# Let's customize the chart properties, which specify how the chart
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# should look, plus some additional elements like labels, the scale, etc...
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var cp: ChartProperties = ChartProperties.new()
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cp.grid = true
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cp.origin = false
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cp.title = "Air Quality Monitoring"
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cp.x_label = ("Time")
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cp.x_scale = 10
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cp.y_label = ("Sensor values")
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cp.y_scale = 30
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cp.interactive = true # false by default, it allows the chart to create a tooltip to show point values
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# and interecept clicks on the plot
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# Set the x_labels
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# $ScatterChart.x_labels = x_labels
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# Plot our data
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$ScatterChart.plot(x, y, cp)
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# Uncommenting this line will show how real time data plotting works
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set_process(false)
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func _process(delta: float):
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# This function updates the values of chart x, y, and x_labels array
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# and updaptes the plot
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var new_val: float = $ScatterChart.x.back() + 1
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$ScatterChart.x.append(new_val)
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$ScatterChart.y[0].append(cos(new_val) * 20)
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$ScatterChart.y[1].append(20 + sin(new_val) * 20)
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$ScatterChart.x_labels.append(str(new_val) + "s")
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$ScatterChart.update()
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func _on_CheckButton_pressed():
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set_process(not is_processing())
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