在 Python 中迭代 Float 列表

Iterate over Float list in Python

我正在尝试使用 for 循环遍历浮点值列表,但出现错误。我正在尝试使用 enumerate() 打印列表。有没有更好的方法来迭代浮动列表?

列表中的数字类似于 list_float= [1546626931.138813,1546626931.138954,1546626931.139053,1546626931.139289,.......,1546628078.463885]

代码是:

import csv
import datetime
import pandas


filename = open('C:\Users\xyz\Downloads\BLF File\output.csv', "w")
log = can.BLFReader('C:\Users\xyz\Downloads\BLF File\test.blf')

# print ("We are here!")
log_output = []
timestamp = [] #Variable to store timestamps from blf file
time_del = [] #Variable to store time difference
# filename.write('Timestamp              ID             DLC                 Channel' + '\n')

print('We are here 1')
for time in log:
    time = str(time).split()
    timestamp = float(time[1])
    # print(timestamp)


for count, item in enumerate(timestamp):
    print(count, item)

它只打印列表中的最后一个浮点值,即“1546628078.463885”,如下所示:

0 1
1 5
2 4
3 6
4 6
5 2
6 8
7 0
8 7
9 8
10 .
11 4
12 6
13 3
14 8
15 8
16 5 

在我传递的文件中,值如下所示:

['Timestamp:', '1546626926.380693', 'ID:', '0366', 'S', 'DLC:', '8', '25', '80', 'f8', '7f', '00', '00', '00', '00', 'Channel:', '0']
['Timestamp:', '1546626926.381285', 'ID:', '0120', 'S', 'DLC:', '2', '00', '05', 'Channel:', '1']

这个循环每次都会覆盖 timestamp,所以最终 timestamp 是单个浮点数而不是浮点数列表。

for time in log:
    time = str(time).split()
    timestamp = float(time[1])

你可能想要:

for time in log:
    time = str(time).split()
    timestamp.append(float(time[1]))