加速度计是高频采样的，如何将UTC时间转换为浮点时间？
accelerometer is sampled at high frequency , how to convert UTC time to float time?
import pandas as pd
df = pd.DataFrame(['Time':['16:47:55.510','16:47:55.511','16:47:55.410']})
df
output:
Time
0 16:47:55.510
1 16:47:55.511
2 16:47:55.410
如何使用python将这个时间值转换为浮点值？
如果时间是 h:m:s.ms 格式，你可以这样做：
hours, minutes, seconds = df.Time[0].split(':')
total_seconds = int(hours) * 3600 + int(minutes) * 60 + float(seconds)
import pandas as pd
df = pd.DataFrame(['Time':['16:47:55.510','16:47:55.511','16:47:55.410']})
df
output:
Time
0 16:47:55.510
1 16:47:55.511
2 16:47:55.410
如何使用python将这个时间值转换为浮点值？
如果时间是 h:m:s.ms 格式，你可以这样做：
hours, minutes, seconds = df.Time[0].split(':')
total_seconds = int(hours) * 3600 + int(minutes) * 60 + float(seconds)