85 lines
2.9 KiB
Python
85 lines
2.9 KiB
Python
import os.path
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import matplotlib.pyplot as plt
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import pandas
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from matplotlib.widgets import Slider
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from PySide6.QtCore import Signal, QThread
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from common import clibs
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# class DrawCurves(QThread):
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# output = Signal(str, str)
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#
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# def __init__(self, /):
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# super().__init__()
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#
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# @staticmethod
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# def logger(level, module, content, color="black", error="", flag="both", signal=output):
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# clibs.logger(level, module, content, color, flag, signal)
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# if level.upper() == "ERROR":
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# raise Exception(error)
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#
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# def initialization(self):
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# path, curves = None, None
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# try:
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# path = clibs.data_dd["path"]
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# curves = clibs.data_dd["curves"]
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# except Exception:
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# clibs.w2t("程序未开始运行,暂无数据可以展示......\n", "red")
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# return None, None
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#
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# for curve in curves:
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# if not os.path.exists(f"{path}/{curve}.csv"):
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# clibs.w2t(f"{curve}曲线数据暂未生成,稍后再试......\n", "orange")
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# return None, None
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#
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# return path, curves
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#
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#
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# def data_plot(path, curve):
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# titles = {"hw_joint_vel_feedback": "各关节最大速度曲线", "device_servo_trq_feedback": "各关节平均有效转矩曲线"}
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# ylabels = {"hw_joint_vel_feedback": "速度(rad/s)", "device_servo_trq_feedback": "转矩(Nm)"}
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#
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# fig, axes = plt.subplots(figsize=(10, 4.5), dpi=100)
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# cols = [f"{curve}_{i}" for i in range(6)]
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# cols.insert(0, "time")
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# df = pandas.read_csv(f"{path}/{curve}.csv")
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# plt.plot(df[cols[1]], label="一轴")
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# plt.plot(df[cols[2]], label="二轴")
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# plt.plot(df[cols[3]], label="三轴")
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# plt.plot(df[cols[4]], label="四轴")
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# plt.plot(df[cols[5]], label="五轴")
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# plt.plot(df[cols[6]], label="六轴")
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# axes.set_title(titles[curve])
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# axes.set_ylabel(ylabels[curve])
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# axes.legend(loc="upper right")
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#
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# slider_position = plt.axes((0.1, 0.01, 0.8, 0.05), facecolor="blue") # (left, bottom, width, height)
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# scrollbar = Slider(slider_position, 'Time', 1, int(len(df)), valstep=1)
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#
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# def update(val):
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# pos = scrollbar.val
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# axes.set_xlim([pos, pos + 10])
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# fig.canvas.draw_idle()
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#
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# scrollbar.on_changed(update)
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# fig.tight_layout(rect=(0, 0.02, 0.96, 1)) # tuple (left, bottom, right, top)
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#
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#
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# def main():
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# path, curves = initialization()
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# if not path or not curves:
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# return
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#
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# for curve in curves:
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# data_plot(path, curve)
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#
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# plt.show()
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#
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#
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# plt.rcParams['font.sans-serif'] = ['SimHei']
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# plt.rcParams['axes.unicode_minus'] = False
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# plt.rcParams['figure.dpi'] = 100
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# plt.rcParams['font.size'] = 14
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# plt.rcParams['lines.marker'] = 'o'
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# plt.rcParams["figure.autolayout"] = True
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# |