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aio_second_edition/code/durable_docs/create_plot.py

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Python

import os.path
import matplotlib.pyplot as plt
import pandas
from matplotlib.widgets import Slider
from common import clibs
def initialization():
path, curves = None, None
try:
path = clibs.data_dd["path"]
curves = clibs.data_dd["curves"]
except Exception:
clibs.w2t("程序未开始运行,暂无数据可以展示......\n", "red")
return None, None
for curve in curves:
if not os.path.exists(f"{path}/{curve}.csv"):
clibs.w2t(f"{curve}曲线数据暂未生成,稍后再试......\n", "orange")
return None, None
return path, curves
def data_plot(path, curve):
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"}
ylabels = {"hw_joint_vel_feedback": "速度(rad/s)", "device_servo_trq_feedback": "转矩(Nm)"}
fig, axes = plt.subplots(figsize=(10, 4.5), dpi=100)
cols = [f"{curve}_{i}" for i in range(6)]
cols.insert(0, "time")
df = pandas.read_csv(f"{path}/{curve}.csv")
plt.plot(df[cols[1]], label="一轴")
plt.plot(df[cols[2]], label="二轴")
plt.plot(df[cols[3]], label="三轴")
plt.plot(df[cols[4]], label="四轴")
plt.plot(df[cols[5]], label="五轴")
plt.plot(df[cols[6]], label="六轴")
axes.set_title(titles[curve])
axes.set_ylabel(ylabels[curve])
axes.legend(loc="upper right")
slider_position = plt.axes((0.1, 0.01, 0.8, 0.05), facecolor="blue") # (left, bottom, width, height)
scrollbar = Slider(slider_position, 'Time', 1, int(len(df)), valstep=1)
def update(val):
pos = scrollbar.val
axes.set_xlim([pos, pos + 10])
fig.canvas.draw_idle()
scrollbar.on_changed(update)
fig.tight_layout(rect=(0, 0.02, 0.96, 1)) # tuple (left, bottom, right, top)
def main():
path, curves = initialization()
if not path or not curves:
return
for curve in curves:
data_plot(path, curve)
plt.show()
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
plt.rcParams['figure.dpi'] = 100
plt.rcParams['font.size'] = 14
plt.rcParams['lines.marker'] = 'o'
plt.rcParams["figure.autolayout"] = True
if __name__ == '__main__':
main()