Scatter

Inherits from Line2D

The Scatter QML Type is implemented as a matplotlib.Line2D object without a line-style to achieve better performance during plot updates. Scatters are by default a PathCollection which makes it hard to update them efficiently. Thus it is not possible to provide different markerSizes (Array-Like). If you want to have that functionality, use the ScatterCollection.

Properties

label (String)

The label of the scatter object, if there are no labels on an axis, the legend won't be displayed.
Python methods:

Name	Parameters	Return Type
get_label()	-	String
set_label()	label : String	None

color (String)

Color of the scatter object. You can use the colors from the Matplotlib documentation.
Python methods:

Name	Parameters	Return Type
get_color()	-	String
set_color()	color : String	None

xData (Array/List)

Marks the points on the X-Axis that are related to the points of the same index in the Array in yData. If xData and yData have different shapes or length there won't be an error if you set that in QML but there will be an error if you set it in Python. Make sure to update them right after another. In Python you can use numpy arrays but since QML can't interpret those they will be converted to a list whenever get_xdata() is used by the interface. If you want to retrieve the original numpy array you put in, use the property xdata.
Python methods:

Name	Parameters	Return Type
xdata(property not method!)	-	Array/List
set_xdata()	xdata : Array/List	None

yData (Array/List)

Marks the points on the Y-Axis that are related to the points of the same index in the Array in xData. If xData and yData have different shapes or length there won't be an error if you set that in QML but there will be an error if you set it in Python. Make sure to update them right after another. In Python you can use numpy arrays but since QML can't interpret those they will be converted to a list whenever get_ydata() is used by the interface. If you want to retrieve the original numpy array you put in, use the property ydata.
Python methods:

Name	Parameters	Return Type
ydata(property not method!)	-	Array/List
set_ydata()	xdata : Array/List	None

alpha (Float)

The transparency of the scatter points on the plot. 0.0 is transparent and 1.0 is fully visible.
Python methods:

Name	Parameters	Return Type
get_alpha()	-	Float
set_alpha()	alpha : Float	None

marker (String)

The marker Property defines the appearance of the Scatter markers. Check out the Matplotlib-markers documentation for the available markers. The transparency of the line on the plot. 0.0 is transparent and 1.0 is fully visible. The default is "o".
Python methods:

Name	Parameters	Return Type
get_marker()	-	String
set_marker()	marker : String	None

markerSize (Float)

Sets the size of all of the markers in that object. The default is None which means it falls back to mthe matplotlib default.
Python methods:

Name	Parameters	Return Type
get_markersize()	-	Float
set_markersize()	markersize : Float	None

markerEdgeWidth (float)

Modifies the outer border thickness of the markers. The default is None which means it falls back to mthe matplotlib default.
Python methods:

Name	Parameters	Return Type
get_markeredgewidth()	-	Float
set_markeredgewidth()	width : Float	None

markerEdgeColor (String)

Sets the color of the marker borders. The default is None which means it falls back to mthe matplotlib default.
Python methods:

Name	Parameters	Return Type
get_markeredgecolor()	-	String
set_markeredgecolor()	color : String	None

markerFaceColor (String)

Sets the color of the marker face. The default is None which means it falls back to mthe matplotlib default.
Python methods:

Name	Parameters	Return Type
get_markerfacecolor()	-	String
set_markerfacecolor()	color : String	None