[英]Iterate over Float list in Python
我试图使用for循环遍历浮点值列表,但收到错误。 我正在尝试使用enumerate()打印列表。 有没有更好的方法来遍历浮点数列表?
列表的编号类似于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)
它仅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']
该循环每次都会覆盖timestamp
,因此最终timestamp
是单个浮动而不是浮动列表。
for time in log:
time = str(time).split()
timestamp = float(time[1])
您可能想要:
for time in log:
time = str(time).split()
timestamp.append(float(time[1]))
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