[英]Arranging real-time sensor input data based on timestamp
我有來自兩個不同傳感器輸入的實時時間序列數據。 我想根據時間戳排列數據。
問題是接收到的傳感器輸入不一致,例如
sensor time data1 data2 data3 data 4
['sensor_1', '0', '0.1234', '0.3251', '1.4235', '0.4234']
['sensor_1', '1', '0.1432', '0.3452', '1.4245', '0.1434']
['sensor_2', '0', '0.6543', '0.3231', '1.1235', '0.3434']
['sensor_1', '2', '0.1654', '0.3243', '1.5445', '0.1234']
['sensor_2', '1', '0.1544', '0.3345', '1.5425', '0.6534']
['sensor_2', '2', '0.5432', '0.4551', '1.8755', '0.4245']
我如何加入它們(在我接收數據時),以便合並具有相同時間戳的傳感器數據,如下所示:
time data1_1 data1_2 data1_3 data1_4 data2_1 data2_2 data2_3 data2_4
['0', '0.1234', '0.3251', '1.4235', '0.4234', '0.6543', '0.3231', '1.1235', '0.3434']
['1', '0.1432', '0.3452', '1.4245', '0.1434', '0.1544', '0.3345', '1.5425', '0.6534']
['2', '0.1654', '0.3243', '1.5445', '0.1234', '0.5432', '0.4551', '1.8755', '0.4245']
我通過子進程接收數據(一次一行):
process = subprocess.Popen(['node', 'server.js'], stdout=subprocess.PIPE)
while True:
Byte_data = process.stdout.readline()
string_data = byte_data.rstrip().decode("utf-8") # From byte to string
list_data = string_data.split(",") # Comma separate strings
# Sort data here...
您將需要回顧並匹配進來的時間戳,就像這樣。
def time(row):
return row[1]
def synchronized(rows):
lookback = {'sensor_1': {}, 'sensor_2': {}}
for row in rows:
# add row to lookback
sensor = row[0]
lookback[sensor][time(row)] = row
# check for matching timestamps
rms = []
for t, r in sorted(lookback['sensor_1'].items(), key=time):
if t in lookback['sensor_2']:
yield r, lookback['sensor_2']
rms.append(t)
for rm in rms:
for tmp in lookback.values():
del tmp[rm]
def parse(rows):
for row in rows:
yield tuple(row.decode().rstrip().split(','))
import subprocess
process = subprocess.Popen(['node', 'server.js'], stdout=subprocess.PIPE)
for row1, row2 in synchronized(parse(process.stdout)):
print(row1, row2)
看到您的時間戳都是整數,您可以將它們用作排序列表的索引,並在與時間戳相等的索引處附加或添加數據。
sorted_data = []
process = subprocess.Popen(['node', 'server.js'], stdout=subprocess.PIPE)
while True:
Byte_data = process.stdout.readline()
string_data = byte_data.rstrip().decode("utf-8") # From byte to string
list_data = string_data.split(",") # Comma separate strings
try:
sorted_data[int(list_data[1])] += list_data[2:]
except IndexError:
sorted_data.append(list_data[1:])
# prints sorted data in real time
print(str(sorted_data).replace("],", "],\n"))
# prints out final list with sorted data
print(str(sorted_data).replace("],", "],\n"))
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