mirror of
https://github.com/orbbec/OrbbecSDK_ROS2.git
synced 2026-09-10 18:30:20 +08:00
56 lines
1.6 KiB
Python
56 lines
1.6 KiB
Python
import pandas as pd
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import matplotlib.pyplot as plt
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import matplotlib.dates as mdates
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import numpy as np
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def process_data(data):
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# 处理数据，将含有 "ms" 的数据转换为浮点数
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for col in ['min', 'avg', 'max']:
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data[col] = data[col].str.replace(' ms', '').astype(float)
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return data
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def split_data(data):
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# 分别筛选出age和period的数据
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age_data = data[data['message_type'] == 'age']
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period_data = data[data['message_type'] == 'period']
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return age_data, period_data
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def plot_data(data, title, y_ticks):
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plt.figure(figsize=(12, 6))
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for col, color in zip(['min', 'avg', 'max'], ['green', 'yellow', 'cyan']):
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# Convert datetime to numpy array
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x = data['_time'].to_numpy()
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y = data[col].to_numpy()
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plt.plot(x, y, label=col, color=color, marker='o', linestyle='-')
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plt.ylabel('Milliseconds')
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plt.title(title)
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plt.gca().xaxis.set_major_locator(mdates.MinuteLocator(interval=10))
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plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
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plt.legend()
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plt.grid(True, which='both')
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plt.xticks(rotation=45)
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plt.yticks(range(0, y_ticks[1], y_ticks[0]))
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plt.tight_layout()
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plt.show()
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def main():
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plt.style.use('dark_background')
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data = pd.read_csv('statistics.csv')
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data['_time'] = pd.to_datetime(data['_time'])
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data = process_data(data)
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age_data, period_data = split_data(data)
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plot_data(age_data, 'Message Age', (100, 501))
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plot_data(period_data, 'Message Period', (20, 101))
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if __name__ == "__main__":
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main()
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