Python 如何迭代for循环中的项目，然后将for循环迭代结果打印到文本文件中？

我想将for循环的输出存储到文本文件中，但这不是所需的输出，因为它们每次只打印最后一个元素。 请看一下第二个for循环（我曾尝试将for循环的输出放入文本文件中，但它们似乎总是将最后一个元素保存到文本文件中）

arr的输出为：

[('001.txt', [(4, 0.71602935), (3, 0.28154704)])]
[('002.txt', [(1, 0.7049297), (3, 0.29243866)])]
[('003.txt', [(1, 0.99487615)])]
[('004.txt', [(3, 0.99692315)])]
[('005.txt', [(3, 0.9950977)])]
[('006.txt', [(3, 0.9928176)])]
[('007.txt', [(3, 0.9953267)])]
[('008.txt', [(1, 0.7267725), (3, 0.27005684)])]
[('009.txt', [(4, 0.99464)])]
[('010.txt', [(1, 0.9942703)])]
[('011.txt', [(4, 0.66636235), (3, 0.32503912)])]
[('012.txt', [(3, 0.9957714)])]
[('013.txt', [(3, 0.9956188)])]
[('014.txt', [(3, 0.9970782)])]
[('015.txt', [(0, 0.9260712), (1, 0.07222312)])]
[('016.txt', [(3, 0.9941127)])]
[('017.txt', [(3, 0.9938843)])]
[('018.txt', [(1, 0.9922442)])]
[('019.txt', [(3, 0.99532056)])]
[('020.txt', [(1, 0.9978331)])]
[('021.txt', [(0, 0.79601324), (3, 0.20101906)])]
[('022.txt', [(3, 0.9956737)])]
[('023.txt', [(3, 0.77211946), (0, 0.22313568)])]
[('024.txt', [(1, 0.70796424), (3, 0.28902704)])]
[('025.txt', [(1, 0.99687904)])]
[('026.txt', [(1, 0.9956988)])]
[('027.txt', [(1, 0.8199397), (3, 0.1765291)])]
[('028.txt', [(4, 0.80725664), (3, 0.18847291)])]
[('029.txt', [(1, 0.9965614)])]
[('030.txt', [(3, 0.57492805), (1, 0.4226808)])]
[('031.txt', [(3, 0.99596083)])]
[('032.txt', [(3, 0.9952822)])]
[('033.txt', [(2, 0.70318085), (3, 0.2922277)])]
[('034.txt', [(1, 0.89127207), (3, 0.10545795)])]
[('035.txt', [(1, 0.722026), (3, 0.27340224)])]
[('036.txt', [(1, 0.9960558)])]
[('037.txt', [(2, 0.6491061), (3, 0.348281)])]
[('038.txt', [(3, 0.9922011)])]
[('039.txt', [(1, 0.9939154)])]
[('040.txt', [(3, 0.994332)])]
[('041.txt', [(2, 0.55159), (3, 0.44460982)])]
[('042.txt', [(2, 0.70692), (3, 0.2888305)])]
[('043.txt', [(2, 0.99319774)])]
[('044.txt', [(3, 0.9966152)])]
[('045.txt', [(4, 0.8118485), (3, 0.18499091)])]
[('046.txt', [(3, 0.99555445)])]
[('047.txt', [(0, 0.69498456), (3, 0.301216)])]
[('048.txt', [(4, 0.5628694), (3, 0.4332467)])]
[('049.txt', [(0, 0.9977888)])]
[('050.txt', [(4, 0.71272886), (3, 0.28423065)])]
[('051.txt', [(0, 0.9960364)])]
[('052.txt', [(1, 0.75808185), (4, 0.23720185)])]
[('053.txt', [(4, 0.9951011)])]
[('054.txt', [(1, 0.9947669)])]
[('055.txt', [(4, 0.99493676)])]
[('056.txt', [(2, 0.8089563), (4, 0.18770455)])]
[('057.txt', [(2, 0.99461764)])]
[('058.txt', [(0, 0.99397254)])]
[('059.txt', [(0, 0.99506336)])]
[('060.txt', [(4, 0.5311487), (1, 0.46360484)])]
[('061.txt', [(4, 0.9979783)])]
[('062.txt', [(4, 0.99500084)])]
[('063.txt', [(4, 0.5147298), (1, 0.48232165)])]
[('064.txt', [(0, 0.9976079)])]
[('065.txt', [(0, 0.75504255), (4, 0.23867798)])]
[('066.txt', [(0, 0.55720884), (4, 0.43956935)])]
[('067.txt', [(4, 0.99436694)])]
[('068.txt', [(4, 0.59490424), (1, 0.40078953)])]
[('069.txt', [(0, 0.9960368)])]
[('070.txt', [(2, 0.5861434), (4, 0.40975693)])]
[('071.txt', [(3, 0.59358937), (4, 0.40286723)])]
[('072.txt', [(4, 0.8263165), (1, 0.170669)])]
[('073.txt', [(4, 0.9940411)])]
[('074.txt', [(1, 0.7025927), (4, 0.29399806)])]
[('075.txt', [(0, 0.9965689)])]
[('076.txt', [(4, 0.9947142)])]
[('077.txt', [(4, 0.9954025)])]
[('078.txt', [(0, 0.96838295), (2, 0.028607361)])]
[('079.txt', [(4, 0.9937655)])]
[('080.txt', [(4, 0.99437577)])]
[('081.txt', [(0, 0.9953118)])]
[('082.txt', [(0, 0.9963087)])]
[('083.txt', [(1, 0.60066926), (4, 0.39384273)])]
[('084.txt', [(0, 0.99413854)])]
[('085.txt', [(1, 0.9960935)])]
[('086.txt', [(0, 0.99625784)])]
[('087.txt', [(0, 0.6497531), (4, 0.34491497)])]
[('088.txt', [(1, 0.70258677), (4, 0.2940039)])]
[('089.txt', [(0, 0.99131155)])]
[('090.txt', [(1, 0.91544366), (0, 0.08105935)])]
[('091.txt', [(4, 0.731707), (0, 0.26340982)])]
[('092.txt', [(0, 0.991419)])]
[('093.txt', [(0, 0.99421775)])]
[('094.txt', [(2, 0.99614394)])]
[('095.txt', [(0, 0.73367894), (4, 0.26461697)])]
[('096.txt', [(0, 0.99521035)])]
[('097.txt', [(4, 0.9960171)])]
[('098.txt', [(4, 0.9937229)])]
[('099.txt', [(4, 0.9939455)])]
[('100.txt', [(4, 0.99591196)])]
[('101.txt', [(3, 0.9976063)])]
[('102.txt', [(1, 0.99697727)])]
[('103.txt', [(2, 0.9963148)])]
[('104.txt', [(4, 0.8498221), (3, 0.14795008)])]
[('105.txt', [(0, 0.5934393), (1, 0.4045119)])]
[('106.txt', [(3, 0.56688505), (2, 0.4309479)])]
[('107.txt', [(3, 0.89017695), (2, 0.1069556)])]
[('108.txt', [(1, 0.9921692)])]
[('109.txt', [(3, 0.6526474), (0, 0.34404448)])]
[('110.txt', [(2, 0.6523364), (1, 0.23732765), (3, 0.10890786)])]
[('111.txt', [(2, 0.9984435)])]
[('112.txt', [(1, 0.99638546)])]
[('113.txt', [(2, 0.99526036)])]
[('114.txt', [(3, 0.9949771)])]
[('115.txt', [(4, 0.8333082), (1, 0.13397394), (3, 0.031519413)])]
[('116.txt', [(2, 0.93116885), (1, 0.06670692)])]
[('117.txt', [(1, 0.99436975)])]
[('118.txt', [(1, 0.9965262)])]
[('119.txt', [(3, 0.82268876), (1, 0.17507821)])]
[('120.txt', [(1, 0.9963602)])]
[('121.txt', [(2, 0.9975567)])]
[('122.txt', [(2, 0.9975837)])]
[('123.txt', [(0, 0.67087364), (1, 0.3223502)])]
[('124.txt', [(2, 0.99769515)])]
[('125.txt', [(1, 0.99586403)])]
[('126.txt', [(2, 0.80726296), (1, 0.19040845)])]
[('127.txt', [(3, 0.76902544), (2, 0.22932427)])]
[('128.txt', [(3, 0.9977924)])]
[('129.txt', [(3, 0.99410117)])]
[('130.txt', [(3, 0.99703735)])]
[('131.txt', [(1, 0.9959712)])]
[('132.txt', [(2, 0.6769866), (4, 0.31980133)])]
[('133.txt', [(1, 0.9948419)])]
[('134.txt', [(0, 0.5198297), (1, 0.33842823), (2, 0.14010021)])]
[('135.txt', [(0, 0.44838846), (3, 0.32033986), (1, 0.23010626)])]
[('136.txt', [(1, 0.99709207)])]
[('137.txt', [(0, 0.8783441), (2, 0.0889), (1, 0.03159054)])]
[('138.txt', [(1, 0.99661326)])]
[('139.txt', [(0, 0.6388813), (1, 0.35774702)])]
[('140.txt', [(2, 0.993027)])]
[('141.txt', [(1, 0.99740076)])]
[('142.txt', [(1, 0.99737215)])]
[('143.txt', [(1, 0.9967778)])]
[('144.txt', [(4, 0.6482304), (2, 0.3464205)])]
[('145.txt', [(3, 0.991145)])]
[('146.txt', [(2, 0.99620616)])]
[('147.txt', [(2, 0.99727434)])]
[('148.txt', [(1, 0.9970219)])]
[('149.txt', [(1, 0.99663305)])]
[('150.txt', [(0, 0.6730801), (2, 0.32252583)])]
[('151.txt', [(2, 0.71864104), (3, 0.27687418)])]
[('152.txt', [(2, 0.5830273), (0, 0.41458392)])]
[('153.txt', [(3, 0.8325644), (2, 0.16258276)])]
[('154.txt', [(2, 0.6469322), (1, 0.34925482)])]
[('155.txt', [(2, 0.99509275)])]
[('156.txt', [(2, 0.9953295)])]
[('157.txt', [(2, 0.99550176)])]
[('158.txt', [(2, 0.9961249)])]
[('159.txt', [(2, 0.610686), (0, 0.38501245)])]
[('160.txt', [(2, 0.99716145)])]
[('161.txt', [(3, 0.48505446), (2, 0.36028314), (0, 0.15067576)])]
[('162.txt', [(4, 0.49675527), (2, 0.49561986)])]
[('163.txt', [(4, 0.99753934)])]
[('164.txt', [(1, 0.6566721), (2, 0.33890736)])]
[('165.txt', [(2, 0.5288824), (3, 0.46510658)])]
[('166.txt', [(1, 0.64638895), (2, 0.350259)])]
[('167.txt', [(2, 0.6616886), (3, 0.33044046)])]
[('168.txt', [(2, 0.9941413)])]
[('169.txt', [(2, 0.58227646), (0, 0.4137176)])]
[('170.txt', [(2, 0.99611557)])]
[('171.txt', [(0, 0.9897187)])]
[('172.txt', [(2, 0.9950201)])]
[('173.txt', [(4, 0.9910078)])]
[('174.txt', [(0, 0.8987627), (2, 0.09535792)])]
[('175.txt', [(2, 0.399172), (4, 0.3129197), (1, 0.2825416)])]
[('176.txt', [(2, 0.99535024)])]
[('177.txt', [(2, 0.51980865), (0, 0.4761103)])]
[('178.txt', [(2, 0.9942798)])]
[('179.txt', [(0, 0.9978292)])]
[('180.txt', [(0, 0.99799275)])]
[('181.txt', [(0, 0.9971965)])]
[('182.txt', [(0, 0.99719584)])]
[('183.txt', [(2, 0.9947798)])]
[('184.txt', [(0, 0.9946292)])]
[('185.txt', [(2, 0.99375385)])]
[('186.txt', [(0, 0.97043765), (2, 0.026055241)])]
[('187.txt', [(2, 0.6645889), (4, 0.33031783)])]
[('188.txt', [(2, 0.5876885), (1, 0.40868264)])]
[('189.txt', [(1, 0.6894244), (2, 0.30670562)])]
[('190.txt', [(0, 0.9950181)])]
[('191.txt', [(1, 0.9896501)])]
[('192.txt', [(0, 0.99681157)])]
[('193.txt', [(1, 0.6064344), (2, 0.3890222)])]
[('194.txt', [(1, 0.6191368), (2, 0.37391865)])]
[('195.txt', [(2, 0.99624527)])]
[('196.txt', [(2, 0.82650113), (3, 0.16979064)])]
[('197.txt', [(0, 0.69186723), (2, 0.30481166)])]
[('198.txt', [(2, 0.99368984)])]
[('199.txt', [(2, 0.99674624)])]
[('200.txt', [(2, 0.533913), (0, 0.46221077)])]
[('201.txt', [(0, 0.9968048)])]
[('202.txt', [(2, 0.99731094)])]
[('203.txt', [(2, 0.68663925), (4, 0.3111823)])]
[('204.txt', [(0, 0.99631995)])]
[('205.txt', [(0, 0.99645954)])]
[('206.txt', [(2, 0.9978021)])]
[('207.txt', [(2, 0.9333098), (1, 0.063321896)])]
[('208.txt', [(0, 0.9977464)])]
[('209.txt', [(4, 0.5554451), (2, 0.43833327)])]
[('210.txt', [(1, 0.9974662)])]
[('211.txt', [(1, 0.9972499)])]
[('212.txt', [(0, 0.9977275)])]
[('213.txt', [(0, 0.99759126)])]
[('214.txt', [(2, 0.99620396)])]
[('215.txt', [(0, 0.9966316)])]
[('216.txt', [(0, 0.99804056)])]
[('217.txt', [(0, 0.65975994), (1, 0.33773333)])]
[('218.txt', [(4, 0.99706537)])]
[('219.txt', [(0, 0.99597585)])]
[('220.txt', [(0, 0.9973574)])]
[('221.txt', [(2, 0.9961178)])]
[('222.txt', [(0, 0.7885542), (1, 0.20995435)])]
[('223.txt', [(4, 0.94501954), (0, 0.052957233)])]
[('224.txt', [(0, 0.99597615)])]
[('225.txt', [(0, 0.99772716)])]
[('226.txt', [(1, 0.9972503)])]
[('227.txt', [(1, 0.9962298)])]
[('228.txt', [(0, 0.99788153)])]
[('229.txt', [(0, 0.99829)])]
[('230.txt', [(0, 0.9957878)])]
[('231.txt', [(2, 0.9967612)])]
[('232.txt', [(0, 0.9935971)])]
[('233.txt', [(4, 0.9954175)])]
[('234.txt', [(0, 0.99781704)])]
[('235.txt', [(0, 0.90009326), (4, 0.09837005)])]
[('236.txt', [(0, 0.9963427)])]
[('237.txt', [(0, 0.99463385)])]
[('238.txt', [(0, 0.7446245), (1, 0.24992703)])]
[('239.txt', [(3, 0.58633035), (0, 0.2825646), (1, 0.1281509)])]
[('240.txt', [(0, 0.99782217)])]
[('241.txt', [(1, 0.8480159), (0, 0.14756873)])]
[('242.txt', [(3, 0.9947073)])]
[('243.txt', [(2, 0.90908307), (0, 0.08884188)])]
[('244.txt', [(4, 0.9128273), (0, 0.085246615)])]
[('245.txt', [(3, 0.68367517), (2, 0.22646488), (4, 0.08881564)])]
[('246.txt', [(0, 0.9964561)])]
[('247.txt', [(0, 0.53860736), (1, 0.4575816)])]
[('248.txt', [(1, 0.99430263)])]
[('249.txt', [(2, 0.983931), (3, 0.013103891)])]
[('250.txt', [(1, 0.9961023)])]

---

只需在单个操作中写入整个数组，这样就不会在写入每个元素后重写文件。您可以使用@SilverSlash注释的

with open（）

方法或

numpy.savetxt

方法，该方法也适用于整数或浮点列表

import numpy    
numpy.savetxt('arr.out', arr, delimiter=',')

编辑

在第二个循环中，删除处理编写部分的行，并在脚本末尾添加

numpy.savetxt（'arr.out'，arr，delimiter='，'）

。请记住

import numpy

添加脚本的开头

for item in arr:
    # get the top scoring item
    top_item = sorted_t.pop(0)
    # create dictionary and keep key as topic id and filename
    # and probability in tuple as value
    dic_topic_doc.setdefault(top_item[0], []).append((filenames[index], top_item[1])
numpy.savetxt('arr.out', arr, delimiter=',')

编辑2

看起来您的列表

arr

是一个包含嵌套列表的元组列表。因此

numpy.savetxt

将不起作用。改用

for item in arr:
        # get the top scoring item
        top_item = sorted_t.pop(0)
        # create dictionary and keep key as topic id and filename
        # and probability in tuple as value
        dic_topic_doc.setdefault(top_item[0], []).append((filenames[index], top_item[1])

with open('arr.txt', 'w') as f:
    for item in arr:
        f.write("%s\n" % str(item))

---

如果要在不导入额外库的情况下保留当前代码：

print('\nTopic id, number of documents, list of documents with probability and represented topic words: ')
dic_topic_doc = {}
# for doc in doc_clean:
for index, doc in enumerate(doc_clean):
    bow = dictionary.doc2bow(doc)
    # get topic distribution of the ldamodel
    t = ldamodel.get_document_topics(bow)
    # sort the probability value in descending order to extract the top
    # contributing topic id
    sorted_t = sorted(t, key=lambda x: x[1], reverse=True)
    # print only the filename
    arr = []
    r = filenames[index], sorted_t
    arr += [r]
# print(filenames[index], sorted_t)
text_file = open("text_file1.txt", "a") # Just changing the open mode from w(rite) to a(ppend) does the trick
for item in arr:
    text_file.write("%s\n" % str(item))
    text_file.close()
    # get the top scoring item
    top_item = sorted_t.pop(0)
    # create dictionary and keep key as topic id and filename
    # and probability in tuple as value
    dic_topic_doc.setdefault(top_item[0], []).append((filenames[index], top_item[1]))

---

我还建议您阅读的相关部分。

上下文处理程序在离开作用域后将自动关闭其资源

open（）

有一个上下文处理程序，可以这样使用：

with open('text_file1.txt', 'w') as f_out:
    for item in arr:
        f_out.write("%s\n" % str(item))

在代码中，您可以调用

text\u file.close（）

，这将在只写入第一个条目后关闭文件处理程序。在第一个

write（）

语句之后，如何不出错，我无法理解

from collections import defaultdict as ddict

dic_topic_doc = ddict(list)

text_file = open("text_file1.txt", "w")
with open('text_file1.txt', 'a') as f:
    for item in arr:
        f.write(f"{item}\n")
        top_item = sorted_t.pop(0)
        dic_topic_doc.append((filenames[index], top_item[1]))

---

试试这个。

open（“text_file1.txt”，“a”）但是我想只要等别人给出答案就行了，因为你的代码不是很好的练习，你应该用

和open（）配合使用。

@SliverSlash append在文本文件中不起作用。我有250行，我想让它打印到文本文件中，但它们总是打印最后一个元素…：（@Silverslash你能告诉我如何将你推荐的代码添加到我代码中的for循环中吗？@b-fgTraceback（最近一次调用）：文件“C:/Users/user/PycharmProjects/topicmodel_practical/topicmodel.py”，第112行，在numpy.savetxt（'arr.out'，arr，delimiter='，'）文件中savetxt X=np.asarray（X）文件中的“C:\Users\user\AppData\Local\Programs\Python37-32\lib\site packages\numpy\lib\npyio.py”，第1330行，“C:\Users\user\AppData\Local\Programs\Python\Python37-32\lib\site packages\numeric.py”，第501行，在asarray返回数组中（a，dtype，copy=False，order=order）ValueError：使用序列设置数组元素在我尝试代码后出现回溯错误。@b-fg能否显示

arr

的外观？如果是整数或浮点数列表，应该可以。数组位于@b-fg提供的代码中，请再次查看谢谢！这不适用于for循环，只保存最后一个元素将数组的ent添加到文本文件中如果我添加文本文件，那么无论何时运行它都只会添加数组的最后一个元素…@Pittoth现在的问题是，我的数组有250行，这意味着有249个索引，但它们总是循环索引249，而不是索引0-248…@PittoI遇到了一个回溯错误回溯（最近的一次调用）：文件“C:/Users/user/PycharmProjects/topicmodel_practical/topicmodel.py”，dic_topic_doc=ddict（[]）TypeError中的第106行：第一个参数必须可调用或无@SliverSlash

from collections import defaultdict as ddict

dic_topic_doc = ddict(list)

text_file = open("text_file1.txt", "w")
with open('text_file1.txt', 'a') as f:
    for item in arr:
        f.write(f"{item}\n")
        top_item = sorted_t.pop(0)
        dic_topic_doc.append((filenames[index], top_item[1]))