def plotyy(x1, y1, x2, y2): """ Plot curves with two different y axes Example:: import numpy as np x = np.linspace(-5, 5, 1000) plotyy(x, np.sin(x), x, np.cos(x)) ylabel("sinus", "cosinus") show() """ axe = gca() curve1 = make.mcurve(x1, y1, yaxis='left') curve2 = make.mcurve(x2, y2, yaxis='right') axe.ycolor = (curve1.curveparam.line.color, curve2.curveparam.line.color) axe.add_plot(curve1) axe.add_plot(curve2) _show_if_interactive() return [curve1, curve2]
def get_point( *args ): """ Plot curves and return selected point(s) coordinates """ win = CurveDialog(_("Select one point then press OK to accept"), edit=True) default = win.add_tool(SelectPointTool, title="Test", on_active_item=True, mode="create", end_callback=test_function) default.activate() plot = win.get_plot() for cx, cy in args: item = make.mcurve(cx, cy) plot.add_item(item) plot.set_active_item(item) win.show() if win.exec_(): return default.get_coordinates()
def semilogy(*args, **kwargs): """ Plot curves with logarithmic y-axis scale Example:: import numpy as np x = np.linspace(-5, 5, 1000) semilogy(x, np.sin(12*x), "g-") show() """ axe = gca() axe.yscale = 'log' curve = make.mcurve(*args, **kwargs) axe.add_plot(curve) _show_if_interactive() return [curve]
def plot(*args, **kwargs): """ Plot curves Example:: import numpy as np x = np.linspace(-5, 5, 1000) plot(x, np.sin(x), "r+") plot(x, np.cos(x), "g-") show() """ axe = gca() curves = make.mcurve(*args, **kwargs) if not isinstance(curves, list): curves = [curves] for curve in curves: axe.add_plot(curve) _show_if_interactive() return curves