用python对比两个本地nmea文件的水平精度CEP95、高程精度CEP95;并输出打印对比结果
时间: 2024-03-19 17:45:56 浏览: 171
好的,我能为您完成这个任务。需要用到的库是 `pynmea2` 和 `numpy`。
首先,我们需要定义一个函数来解析 NMEA 文件并计算 CEP95 值:
```python
import pynmea2
import numpy as np
def calculate_cep95(filename):
latitudes = []
longitudes = []
altitudes = []
with open(filename, 'r') as f:
for line in f:
try:
msg = pynmea2.parse(line)
# Only consider GGA messages with a fix
if isinstance(msg, pynmea2.types.talker.GGA) and msg.gps_qual > 0:
latitudes.append(msg.latitude)
longitudes.append(msg.longitude)
altitudes.append(msg.altitude)
except pynmea2.ParseError:
# Ignore lines that can't be parsed
pass
latitudes = np.array(latitudes)
longitudes = np.array(longitudes)
altitudes = np.array(altitudes)
mean_latitude = np.mean(latitudes)
mean_longitude = np.mean(longitudes)
mean_altitude = np.mean(altitudes)
distance_from_mean = np.sqrt((latitudes - mean_latitude)**2 + (longitudes - mean_longitude)**2 + (altitudes - mean_altitude)**2)
cep95 = np.percentile(distance_from_mean, 95)
return cep95
```
这个函数会读取指定的 NMEA 文件,解析其中的 GGA 消息并计算出 CEP95 值。现在,我们可以对比两个文件的 CEP95 值:
```python
file1 = 'file1.nmea'
file2 = 'file2.nmea'
cep95_file1 = calculate_cep95(file1)
cep95_file2 = calculate_cep95(file2)
print('CEP95 for {}: {:.3f}'.format(file1, cep95_file1))
print('CEP95 for {}: {:.3f}'.format(file2, cep95_file2))
if cep95_file1 < cep95_file2:
print('{} has better horizontal accuracy'.format(file1))
elif cep95_file1 > cep95_file2:
print('{} has better horizontal accuracy'.format(file2))
else:
print('Both files have the same horizontal accuracy')
# To compare vertical accuracy, you can use the same function with the altitude values
```
请注意,在上面的代码中,我们还可以使用这个函数计算高程精度 CEP95 值,只需将函数中的 `latitudes` 和 `longitudes` 替换为 `altitudes` 即可。
希望这可以帮助您比较两个 NMEA 文件的精度。
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