73 lines
2.6 KiB
GDScript
73 lines
2.6 KiB
GDScript
extends Control
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@onready var chart: Chart = $VBoxContainer/Chart
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# This Chart will plot 3 different functions
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var f1: Function
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func _ready():
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# Let's create our @x values
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var x: PackedFloat32Array = ArrayOperations.multiply_float(range(-10, 11, 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 = ArrayOperations.multiply_int(ArrayOperations.cos(x), 20)
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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.colors.frame = Color("#161a1d")
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cp.colors.background = Color.TRANSPARENT
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cp.colors.grid = Color("#283442")
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cp.colors.ticks = Color("#283442")
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cp.colors.text = Color.WHITE_SMOKE
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cp.draw_bounding_box = false
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cp.title = "Air Quality Monitoring"
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cp.x_label = "Time"
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cp.y_label = "Sensor values"
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cp.x_scale = 5
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cp.y_scale = 10
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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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# Let's add values to our functions
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f1 = Function.new(
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x, y, "Pressure", # This will create a function with x and y values taken by the Arrays
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# we have created previously. This function will also be named "Pressure"
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# as it contains 'pressure' values.
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# If set, the name of a function will be used both in the Legend
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# (if enabled thourgh ChartProperties) and on the Tooltip (if enabled).
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# Let's also provide a dictionary of configuration parameters for this specific function.
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{
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color = Color("#36a2eb"), # The color associated to this function
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marker = Function.Marker.CIRCLE, # The marker that will be displayed for each drawn point (x,y)
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# since it is `NONE`, no marker will be shown.
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type = Function.Type.LINE, # This defines what kind of plotting will be used,
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# in this case it will be a Linear Chart.
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interpolation = Function.Interpolation.STAIR # Interpolation mode, only used for
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# Line Charts and Area Charts.
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}
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)
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# Now let's plot our data
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chart.plot([f1], 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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var new_val: float = 4.5
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func _process(delta: float):
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# This function updates the values of a function and then updates the plot
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new_val += 5
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# we can use the `Function.add_point(x, y)` method to update a function
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f1.add_point(new_val, cos(new_val) * 20)
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f1.remove_point(0)
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chart.queue_redraw() # This will force the Chart to be updated
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func _on_CheckButton_pressed():
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set_process(not is_processing())
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