以文件的形式列出，然后在python中以列表的形式读取该文件

我有一个python脚本，它通过模拟生成日期。（Python版本2.7） 我试图将模拟数据写入文本文件，然后在另一个python脚本中打开这些文件。我最终需要的是一个1000x200的浮动矩阵。我有以下代码来编写文件

tradereturn = agent.trade(agentset,t,G,seller,buyer,connections,tradeprobability,buyer_contpayoff[t],seller_contpayoff[t],buyer_offer[t],seller_offer[t]) 
print(tradereturn)

gains.append(tradereturn[0]) #gains is a list that should have about 200 entries
trade.append(tradereturn[1]) #trade is a list    

在我的1000轮中，我的~200长度列表会写入gainstext

for listitem in gains:
    gainstext.write('%s\n' % listitem)

然后，我将其导入另一个脚本中，如下所示：

gains = open("gains.txt", "r")

if gains.mode == "r":
    contents = gains.readlines()
    print(contents)
    print(type(contents))
    print(len(contents))

    contents = str(contents)
    print(len(contents))

作为一个列表，我只得到一个长度为1的列表。作为一根弦，它是一根长200万左右的弦。它显示为一长串由逗号表示的浮点，下面是一个sampl：

输出：

1.7130853299339677，1.7130853299339677，1.7130853299339677，1.7130853299339677，1.7130853299339677，1.7130853299339677，1.7130853299339677，1.7130853299339677，1.7130853299339677，1.71308532993399339677，1.713085329933993333339977，1.7130853299333333333333339977，1.71308532993333333333339977，1.7130853299333333333333333333339977， 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 0.6261130766021059, 0.7265157347076596, 0.7265157347076596,0.7265157347076596、0.7265157347076596、0.7265157347076596、0.7265157347076596、0.7265157347076596、0.7265157347076596、0.7265157347076596、0.7265157347076596、0.7265157347076596、1.53382016269945]。]

我希望逗号之间的每个数字都是一个单独的条目。我该怎么做

我正在使用以下python包：

• networkx

• matplotlib.pyplot

• 努比

• scipy统计数据

• 随机的

• 熊猫作为pd

• 海本

目录。拆分（“，”）

应按逗号将其拆分。不确定是否有更快的方法，因为它是一个长字符串

>>> s = '1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677'
>>> s.split(',')
['1.7130853299339677', ' 1.7130853299339677', ' 1.7130853299339677', ' 1.7130853299339677', ' 1.7130853299339677']

还可以另存为JSON

>>> import json
>>> zz = [1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 0.6261130766021059, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 1.5338201626994945]
>>> with open('zz.json', 'w') as fp:
...     json.dump(zz, fp)
... 
>>> with open('zz.json') as fp:
...     xx = json.load(fp)
... 
>>> len(xx)
78
>>> xx
[1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 0.6261130766021059, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 1.5338201626994945]
>>> type(xx)
<class 'list'>

导入json >>>zz=[1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 0.6261130766021059, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 1.5338201626994945] >>>以open（'zz.json'，'w'）作为fp: …json.dump（zz，fp） ... >>>以open（'zz.json'）作为fp: …xx=json.load（fp） ... >>>莱恩（xx） 78 >>>xx [1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 1.7130853299339677, 0.6261130766021059, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.7265157347076596, 0.726515