From 2a5fdabf137f4b533da13354c29ab65aee0f8f47233a8916b5c0366e96087f2a Mon Sep 17 00:00:00 2001 From: Sebastian Mariano Flores Date: Tue, 26 May 2026 10:41:21 -0600 Subject: [PATCH] Grafica --- datos.csv | 2819 +++++++++++++++++++++++++++++++++++++++++++++++ main.py | 7 +- src/graficar.py | 36 +- 3 files changed, 2840 insertions(+), 22 deletions(-) diff --git a/datos.csv b/datos.csv index c35db86..749a562 100644 --- a/datos.csv +++ b/datos.csv @@ -6059,3 +6059,2822 @@ 0.015311340000000001,0.015311340000000001,0.01692306,0.0201465,0.013699620000000001,0.015311340000000001,0.015311340000000001,0.015311340000000001,0.0161172,0.013699620000000001 0.014505480000000001,0.014505480000000001,0.01692306,0.01692306,0.0161172,0.01853478,0.015311340000000001,0.01692306,0.015311340000000001,0.015311340000000001 0.02175822,0.01692306,0.014505480000000001,0.013699620000000001,0.08300358000000001,0.0,0.01853478,0.0161172,0.014505480000000001,0.0161172 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+0.01692306,0.0161172,0.015311340000000001,0.017728920000000002,0.0161172,0.01934064,0.02095236,0.015311340000000001,0.01692306,0.017728920000000002 diff --git a/main.py b/main.py index 528df3e..a39d841 100644 --- a/main.py +++ b/main.py @@ -1,10 +1,10 @@ -# Aquitectura: 3 hilos -> Wwebsocket -> Procesamiento -> Visualización +# Aquitectura: 4 hilos -> Websocket -> Procesamiento -> Visualización -> Guardado:CSV # Base: Hilos y datos buffer de datos compartidos import queue -import threading from src.cliente_ws import websocket_cliente +from src.graficar import graficar, graficar_rt from src.gurdar import guardar_datos from src.procesor_data import data_procesor @@ -31,6 +31,7 @@ buffer_size = queue.Queue() hilo_1 = websocket_cliente(raw_data, i_paquetes, ip_server) hilo_2 = data_procesor(raw_data, data_clean, data_grafica, buffer_size) # hilo_3 = threading.Thread(target=debug_print) +# hilo_3 = graficar_rt(data_clean, data_grafica, buffer_size) hilo_4 = guardar_datos(data_clean) hilo_1.start() @@ -42,3 +43,5 @@ hilo_1.join() hilo_2.join() # hilo_3.join() hilo_4.join() + +graficar(data_clean, data_grafica) diff --git a/src/graficar.py b/src/graficar.py index 968fc16..76fbbd6 100644 --- a/src/graficar.py +++ b/src/graficar.py @@ -10,21 +10,17 @@ from pyqtgraph.Qt import QtCore def graficar(cola_clean, cola_filtrada): app = QtWidgets.QApplication([]) win = pg.GraphicsLayoutWidget(show=True, title="Onda senoidal") - - # Un solo plot con ambas curvas p1 = win.addPlot(title="Señal cruda y filtrada") p1.addLegend() # leyenda automática curve1 = p1.plot(pen="r", name="Cruda") curve2 = p1.plot(pen="b", name="Filtrada") def update(): - # Actualizar señal cruda if not cola_clean.empty(): datos = cola_clean.get() muestras = np.arange(len(datos)) curve1.setData(muestras, datos) - # Actualizar señal filtrada if not cola_filtrada.empty(): datos_f = cola_filtrada.get() muestras_f = np.arange(len(datos_f)) @@ -37,7 +33,7 @@ def graficar(cola_clean, cola_filtrada): app.exec_() -class websocket_cliente(threading.Thread): +class graficar_rt(threading.Thread): def __init__(self, cola_clean, cola_filtada, buffer_size): super().__init__() self.cola_clean = cola_clean @@ -48,21 +44,21 @@ class websocket_cliente(threading.Thread): self.idx_despla = self.buffer_size / 100 def run(self): - while True: - self.buffer_limpio.append(self.cola_clean.get()) - try: - self.buffer_filtrado = self.cola_filtrado.get_nowait() - except queue.Empty: - pass + app = QtWidgets.QApplication([]) + win = pg.GraphicsLayoutWidget(show=True, title="Onda senoidal") + p1 = win.addPlot(title="Señal cruda y filtrada") + p1.addLegend() + curve1 = p1.plot(pen="r", name="Cruda") + curve2 = p1.plot(pen="b", name="Filtrada") + def update(): -# tiempo real -if __name__ == "__main__": - cola_clean = queue.Queue() - cola_filtrada = queue.Queue() + if not self.cola_clean.empty(): + datos = self.cola_clean.get() + muestras = np.arange(len(datos)) + curve1.setData(muestras, datos) - cliente = websocket_cliente(cola_clean, cola_filtrada, buffer_size=1024) - cliente.daemon = True - cliente.start() - - graficar(cola_clean, cola_filtrada) + if not self.cola_filtrado.empty(): + datos_f = self.cola_filtrado.get() + muestras_f = np.arange(len(datos_f)) + curve2.setData(muestras_f, datos_f)