class MyWindow(QMainWindow, Ui_MainWindow):
def __init__(self):
super(MyWindow, self).__init__()
self.setupUi(self)
self.setWindowTitle("main.py")
# self.setWindowFlags(Qt.WindowStaysOnTopHint)
self.resize(640, 480)
# self.plotter1 = Plotter()
# self.plotter2 = Plotter()
# self.plotter3 = Plotter()
#
# QObject.connect(self.slider, SIGNAL("valueChanged(int)"), self.alg_update)
self.f1 = 1
self.f2 = 2.
self.alg_mgr = AlgorithmManager()
def set_f1(self, f1):
self.f1 = f1
self.alg_update(f1=self.f1, f2=self.f2)
def set_f2(self, f2):
self.f2 = f2
self.alg_update(f1=self.f1, f2=self.f2)
def alg_update(self, f1, f2):
Fs = 48000
time = np.linspace(start=0, stop=1, num=Fs)
signal = np.random.rand(len(time)) + np.cos(2 * np.pi * f1 * time) + np.cos(2 * np.pi * f2 * time)
# 解析
# -----------------------------------
params = {'Fs': Fs, 'x': signal}
self.alg_mgr.set_params(params=params)
self.alg_mgr.calculation()
result_datasets = self.alg_mgr.get_results()
result = result_datasets[0]
x = result.x
y = result.y
self.Plotter1.setCurveData(id=1, x=x, y=y)
self.Plotter1.set_xlim(result.xlim)
self.Plotter1.set_ylim(result.ylim)
self.Plotter1.plot()
result = result_datasets[1]
x = result.x
y = result.y
self.Plotter2.setCurveData(id=1, x=x, y=y)
self.Plotter2.set_xlim(result.xlim)
self.Plotter2.set_ylim(result.ylim)
self.Plotter2.plot()
def __init__(self):
super(MyWindow, self).__init__()
self.setupUi(self)
self.setWindowTitle("main.py")
# self.setWindowFlags(Qt.WindowStaysOnTopHint)
self.resize(640, 480)
# self.plotter1 = Plotter()
# self.plotter2 = Plotter()
# self.plotter3 = Plotter()
#
# QObject.connect(self.slider, SIGNAL("valueChanged(int)"), self.alg_update)
self.f1 = 1
self.f2 = 2.
self.alg_mgr = AlgorithmManager()
import sys
import logging
# format = '> %(asctime)-s - %(filename)-s - %(funcName)-s - >> %(message)-s'
# logging.basicConfig(filename='./log/MatplotlibApp.log', filemode='w', level=logging.NOTSET, format=format)
from MatplotlibApp.Plotter import Plotter
if __name__ == '__main__':
logging.info('Run main')
# 計算パラメータ
import numpy as np
Fs = 48000
time = np.linspace(start=0, stop=1, num=Fs)
signal = np.random.rand(len(time)) + np.cos(2 * np.pi * 1000 * time) + np.cos(2 * np.pi * 10000 * time)
# 解析
# -----------------------------------
params = {'Fs': Fs, 'x': signal}
alg_mgr = AlgorithmManager()
alg_mgr.set_params(params=params)
alg_mgr.calculation()
result_datasets = alg_mgr.get_results()
# Matlab関数
plotter = Plotter(result_datasets)
plotter.plot()
plotter.save_fig('./result/result.png')