从python中的字符串中提取数据

Question

我有一个 .csv 文件，其中的数据按行构造为 [datetime, "(data1, data2)"]，我已设法将数据作为 time 和 temp 导入 python，我面临的问题是如何分隔 @987654325将 @ 字符串转换为浮点格式的两个 new_temp 列，以便稍后用于绘图？

到目前为止我的代码是：

import csv
import matplotlib.dates as dates

def getColumn(filename, column):
    results = csv.reader(open('logfile.csv'), delimiter = ",")
    return [result[column] for result in results]
time = getColumn("logfile.csv",0)
temp = getColumn("logfile.csv",1)
new_time = dates.datestr2num(time)
new_temp = [???]

当我print temp 我得到['(0.0, 0.0)', '(64.4164, 66.2503)', '(63.4768, 65.4108)', '(62.7148, 64.6278)', '(62.0408, 63.9625)', '(61.456, 63.2638)', '(61.0234, 62.837)', '(60.6823, 62.317)',...etc]

如果有人可以帮助我，请提前感谢。

Answer 1

从答案开始 Parse a tuple from a string?

from ast import literal_eval as make_tuple
temp = ['(0.0, 0.0)', '(64.4164, 66.2503)', '(63.4768, 65.4108)', '(62.7148, 64.6278)', '(62.0408, 63.9625)', '(61.456, 63.2638)', '(61.0234, 62.837)', '(60.6823, 62.317)']

tuples = [make_tuple(stringtuple) for stringtuple in temp]

你有一个双精度元组数组。

我取消删除了该帖子并将其作为完整答案，因为显然它还不够清楚，无法引用其他帖子。

Answer 2

您可以使用此代码：

import re
string = "['(0.0, 0.0)', '(64.4164, 66.2503)', '(63.4768, 65.4108)', '(62.7148, 64.6278)', '(62.0408, 63.9625)', '(61.456, 63.2638)', '(61.0234, 62.837)', '(60.6823, 62.317)']"
data = re.findall('[+-]?\d+\.\d+e?[+-]?\d*', string)
data = zip(data[0::2], data[1::2])
print [float(d[0]) for d in data]
print [float(d[1]) for d in data]