The easiest way to create a chart is with the quick-add functions. For example, the following code would create a line chart of the sine function:
>>> import quickplots >>> from math import sin, radians >>> data = [(x, sin(radians(x))) for x in range(360)] >>> chart = quickplots.line(*data, color="#0000FF", title="sin(x)") >>> chart.x_label("angle") >>> chart.y_label("sine of angle")
A few things to note here. The :py.line
function takes (x, y) data points as its positional arguments - these can be lists or tuples. All arguments that are not data must be given as keyword arguments.
As with all other quickplots functions that accept data in this way, you can also provide the data in the form of two lists (or tuples) - one of all the x values and one of all the y values:
>>> chart = quickplots.line([x for x in range(360)], [sin(radians(x)) for x in range(360)])
Use the :py.line
function as above to create line charts. You can pass in hex colors to the color
function and line styles (see the full documentation for a full list of styles) to the linestyle
argument.
Charts themselves also have a ~charts.AxisChart.line
method for adding new line series. To add the cosine function to the above chart, you would do the following:
>>> cosine_data = [(x, cos(radians(x))) for x in range(360)] >>> chart.line(*cosine_data, color="#00FF00")
:py.scatter
will create a scatter chart. You can set the size of the points with the size
argument, as well as their color
and linewidth
(the width of the points' border).
Charts themselves also have a ~charts.AxisChart.scatter
method for adding new line series. To add the cosine function to the above chart, you would do the following:
>>> cosine_data = [(x, cos(radians(x))) for x in range(360)] >>> chart.scatter(*cosine_data, color="#00FF00")
Charts have a title, an x axis label, and a y axis label, which can be modified like so:
>>> chart.title() 'sin(x)' >>> chart.title("A new title") >>> chart.title() 'A new title' >>> chart.x_label("A new x-axis label") >>> chart.y_label("A new y-axis label")
Ticks will be automatically generated, but if you want to specify your own you can specify your own:
>>> chart.x_ticks(0, 90, 180, 270, 360) >>> chart.x_ticks() (0, 90, 180, 270, 360)
Charts can have one or more :py.Series
objects. The series
property will return the first series, and the all_series
will return all the series on the chart.
See the documentation for :py.Chart
and :py.AxisChart
for more information.
All charts have a ~charts.AxisChart.create
method which will create an OmniCanvas canvas <https://omnicanvas.readthedocs.io/en/latest/api/canvas.htm\ l#omnicanvas.canvas.Canvas> with the chart painted to it. These can be saved or rendered as SVG text.
>>> chart.create() <Canvas 700×500 (7 Graphics)> >>> chart.create().save("Charts.svg")