def testFcn(self):
x = np.linspace(0, 100, 1000)
y = (np.random.rand(len(x)) - 0.5).cumsum()
curve = make.curve(x, y, "ab", "b")
range = make.range(0, 5)
disp2 = make.computations(
range,
"TL",
[
(curve, "min=%.5f", lambda x, y: y.min()),
(curve, "max=%.5f", lambda x, y: y.max()),
(curve, "avg=%.5f", lambda x, y: y.mean()),
],
)
legend = make.legend("TR")
items = [curve, range, disp2, legend]
win = CurveDialog(edit=False, toolbar=True, parent=self)
plot = win.get_plot()
for item in items:
plot.add_item(item)
win.show()
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
from numpy import linspace, sin, trapz
x = linspace(-10, 10, 1000)
y = sin(sin(sin(x)))
curve = make.curve(x, y, "ab", "b")
range = make.range(-2, 2)
disp0 = make.range_info_label(range, "BR", "x = %.1f ± %.1f cm", title="Range infos")
disp1 = make.computation(range, "BL", "trapz=%g", curve, lambda x, y: trapz(y, x))
disp2 = make.computations(
range,
"TL",
[
(curve, "min=%.5f", lambda x, y: y.min()),
(curve, "max=%.5f", lambda x, y: y.max()),
(curve, "avg=%.5f", lambda x, y: y.mean()),
],
)
legend = make.legend("TR")
plot(curve, range, disp0, disp1, disp2, legend)
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
from numpy import linspace, sin, trapz
x = linspace(-10, 10, 1000)
y = sin(sin(sin(x)))
curve = make.curve(x, y, "ab", "b")
range = make.range(-2, 2)
disp0 = make.range_info_label(range,
"BR",
"x = %.1f ± %.1f cm",
title="Range infos")
disp1 = make.computation(range, "BL", "trapz=%g", curve,
lambda x, y: trapz(y, x))
disp2 = make.computations(
range,
"TL",
[
(curve, "min=%.5f", lambda x, y: y.min()),
(curve, "max=%.5f", lambda x, y: y.max()),
(curve, "avg=%.5f", lambda x, y: y.mean()),
],
)
legend = make.legend("TR")
plot(curve, range, disp0, disp1, disp2, legend)
def testFcn(self):
x = np.linspace(0, 100, 1000)
y = (np.random.rand(len(x)) - 0.5).cumsum()
curve = make.curve(x, y, "ab", "b")
range = make.range(0, 5)
disp2 = make.computations(range, "TL",
[(curve, "min=%.5f", lambda x, y: y.min()),
(curve, "max=%.5f", lambda x, y: y.max()),
(curve, "avg=%.5f", lambda x, y: y.mean())])
legend = make.legend("TR")
items = [curve, range, disp2, legend]
win = CurveDialog(edit=False, toolbar=True, parent=self)
plot = win.get_plot()
for item in items:
plot.add_item(item)
win.show()
def plot(self, pdDataFrame):
''' plot some random stuff '''
x1 = pdDataFrame.index
y1 = pdDataFrame['Close']
x = np.linspace(0, 100, 1000)
y = (np.random.rand(len(x)) - 0.5).cumsum()
curve = make.curve(x1, y1, "ab", "b")
range = make.range(0, 5)
disp2 = make.computations(range, "TL",
[(curve, "min=%.5f", lambda x, y: y.min()),
(curve, "max=%.5f", lambda x, y: y.max()),
(curve, "avg=%.5f", lambda x, y: y.mean())])
legend = make.legend("TR")
# items = [ curve, range, disp2, legend]
items = [curve]
self.plotw = self.gWindow.get_plot()
for item in items:
self.plotw.add_item(item)
def __init__(self, *args):
super(ResponseDlg, self).__init__(*args)
self.setupUi(self)
self.plotWidget.plot.set_axis_limits('left', 0, 2)
self.plotWidget.plot.set_axis_limits('bottom', 1, 400)
self.plotWidget.plot.set_axis_title('bottom', 'freq [Hz]')
self.plotWidget.plot.set_axis_scale('bottom', 'log')
self.plotWidget.register_all_curve_tools()
self.resultTrace = make.curve([], [], 'Spectrum', color='b')
self.plotWidget.plot.add_item(self.resultTrace)
self.upper_limit = make.curve([], [], 'UL', color='r')
self.plotWidget.plot.add_item(self.upper_limit)
self.lower_limit = make.curve([], [], 'LL', color='r')
self.plotWidget.plot.add_item(self.lower_limit)
self.rng = make.range(0, 0)
self.math = make.computations(self.rng, "TR",
[(self.resultTrace, "total=%.2f", lambda x, y: (y**2).sum()**.5)])
self.plotWidget.plot.add_item(self.rng)
self.plotWidget.plot.add_item(self.math)
self.hide_total_range()