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#!/usr/bin/env python3
"""
绘制 dm_imu/test_imu.cpp 生成的 CSV 数据。
使用方式:
1. 确保已安装 matplotlibpip install matplotlib
2. 运行 C++ 程序生成 imu_data.csv。
3. 执行本脚本:
python3 dm_imu/plot_imu.py
4. 脚本会在同目录下生成 `imu_plot.png` 并显示图形窗口(如果有可视化环境)。
"""
import csv
import os
import sys
import matplotlib.pyplot as plt
def read_csv(csv_path):
"""读取 CSV返回每列的数据列表。"""
if not os.path.isfile(csv_path):
print(f"错误:未找到 CSV 文件 {csv_path}", file=sys.stderr)
sys.exit(1)
indices = []
roll = []
pitch = []
yaw = []
accx = []
accy = []
accz = []
gyrox = []
gyroy = []
gyroz = []
with open(csv_path, newline='') as f:
reader = csv.DictReader(f)
for row in reader:
indices.append(int(row['index']))
roll.append(float(row['roll']))
pitch.append(float(row['pitch']))
yaw.append(float(row['yaw']))
accx.append(float(row['accx']))
accy.append(float(row['accy']))
accz.append(float(row['accz']))
gyrox.append(float(row['gyrox']))
gyroy.append(float(row['gyroy']))
gyroz.append(float(row['gyroz']))
return {
'index': indices,
'roll': roll,
'pitch': pitch,
'yaw': yaw,
'accx': accx,
'accy': accy,
'accz': accz,
'gyrox': gyrox,
'gyroy': gyroy,
'gyroz': gyroz,
}
def plot_data(data, out_path):
"""绘制三组曲线(姿态、加速度、陀螺仪)并保存为 PNG。"""
idx = data['index']
plt.figure(figsize=(12, 9))
# 1. 姿态Roll, Pitch, Yaw
ax1 = plt.subplot(3, 1, 1)
ax1.plot(idx, data['roll'], label='Roll')
ax1.plot(idx, data['pitch'], label='Pitch')
ax1.plot(idx, data['yaw'], label='Yaw')
ax1.set_ylabel('Angle (°)')
ax1.set_title('IMU 姿态')
ax1.legend()
ax1.grid(True)
# 2. 加速度X, Y, Z
ax2 = plt.subplot(3, 1, 2)
ax2.plot(idx, data['accx'], label='Acc X')
ax2.plot(idx, data['accy'], label='Acc Y')
ax2.plot(idx, data['accz'], label='Acc Z')
ax2.set_ylabel('Acceleration (g)')
ax2.set_title('加速度')
ax2.legend()
ax2.grid(True)
# 3. 陀螺仪X, Y, Z
ax3 = plt.subplot(3, 1, 3)
ax3.plot(idx, data['gyrox'], label='Gyro X')
ax3.plot(idx, data['gyroy'], label='Gyro Y')
ax3.plot(idx, data['gyroz'], label='Gyro Z')
ax3.set_xlabel('Sample Index')
ax3.set_ylabel('Angular Velocity (°/s)')
ax3.set_title('陀螺仪')
ax3.legend()
ax3.grid(True)
plt.tight_layout()
plt.savefig(out_path)
print(f"绘图已保存至 {out_path}")
# 如果当前环境支持图形界面,显示窗口
try:
plt.show()
except Exception:
pass
def main():
script_dir = os.path.dirname(os.path.abspath(__file__))
csv_path = os.path.join(script_dir, 'imu_data.csv')
out_path = os.path.join(script_dir, 'imu_plot.png')
data = read_csv(csv_path)
plot_data(data, out_path)
if __name__ == '__main__':
main()