使用Pandas和Flask输出不带省略号的完整字符串

如何解决使用Pandas和Flask输出不带省略号的完整字符串

我正在尝试使用Flask为熊猫中的每一列打印完整字符串。更具体地说,将tweet_text列缩短了,

这遵循了教程: https://www.analyticsvidhya.com/blog/2020/04/how-to-deploy-machine-learning-model-flask/

我目前得到以下输出。

 created_at             tweet_id                                         tweet_text  prediction
0  2020-09-02 13:39:10  1301152689217126403  smh my head at disney every time I think about...           0
1  2020-09-02 13:39:09  1301152689137487872       Tapos parehong may black diko bet kulay nila           1
2  2020-09-02 13:39:09  1301152688898363392  RT @SmokingSkills_: Indian army yesterday only...           0
3  2020-09-02 13:39:09  1301152688286183428  RT @AmonAmarthBand: The longship burst into fl...           0
4  2020-09-02 13:39:09  1301152688202231811  RT @VANTEMETAL: no hate to on but she ain’t bl...           1

如果我使用pd.set_option('display.max_colwidth',1000),结果会更糟。

            created_at  ...  prediction
0  2020-09-02 13:50:52  ...           1
1  2020-09-02 13:50:52  ...           0
2  2020-09-02 13:50:52  ...           0
3  2020-09-02 13:50:52  ...           0
4  2020-09-02 13:50:52  ...           0

app.py

# Flask connection
from flask import Flask,render_template,request,redirect,url_for
from joblib import load
from get_tweets import get_related_tweets

pipeline = load('text_classification.joblib')

def requestResults(name):
    tweets = get_related_tweets(name)
    tweets['prediction'] = pipeline.predict(tweets['tweet_text'])
    data = str(tweets.prediction.value_counts()) + '\n\n'
    return data + str(tweets)

app = Flask(__name__)

# Render default webpage
@app.route('/')
def home():
    return render_template('home.html')

# When post method detected,redirect to success function
@app.route('/',methods=['POST','GET'])
def get_data():
    if request.method == 'POST':
        user = request.form['search']
        return redirect(url_for('success',name=user))

# Get data for requested query
@app.route('/success/<name>')
def success(name):
    return '<xmp>' + str(requestResults(name)) + ' </xmp> '

# Start the Flask server
app.run(debug=True)

get_tweets.py

# Setup tweepy to access Twitter API
import tweepy
import time
import pandas as pd
#pd.set_option('display.max_colwidth',1000)

authentication = tweepy.OAuthHandler(api_key,api_secret_key)
authentication.set_access_token(access_token,access_token_secret)
api = tweepy.API(authentication,wait_on_rate_limit=True)

def get_related_tweets(text_query):
    tweets_list = []
    count = 50
    try:
        for tweet in api.search(q=text_query,count=count):
            print(tweet.text)
            tweets_list.append({'created_at': tweet.created_at,'tweet_id': tweet.id,'tweet_text': tweet.text})
        return pd.DataFrame.from_dict(tweets_list)

    except BaseException as e:
        print('failed on_status,',str(e))
        time.sleep(3)

解决方法

我发现通过str(df)将pandas DataFrame转换为字符串会限制每列的宽度。通过df.to_string()进行的转换不受此限制,因此无需使用省略号。

def requestResults(name):
    tweets = get_related_tweets(name)
    tweets['prediction'] = pipeline.predict(tweets['tweet_text'])
    data = str(tweets.prediction.value_counts()) + '\n\n'
    return data + tweets.to_string()

版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。

相关推荐


使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams[&#39;font.sans-serif&#39;] = [&#39;SimHei&#39;] # 能正确显示负号 p
错误1:Request method ‘DELETE‘ not supported 错误还原:controller层有一个接口,访问该接口时报错:Request method ‘DELETE‘ not supported 错误原因:没有接收到前端传入的参数,修改为如下 参考 错误2:cannot r
错误1:启动docker镜像时报错:Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法:重启docker -&gt; systemctl r
错误1:private field ‘xxx‘ is never assigned 按Altʾnter快捷键,选择第2项 参考:https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2:启动时报错,不能找到主启动类 #
报错如下,通过源不能下载,最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
错误1:maven打包报错 错误还原:使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
错误1:服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping(&quot;/hires&quot;) public class FeignControl
错误1:运行项目后报如下错误 解决方案 报错2:Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案:在pom.
参考 错误原因 过滤器或拦截器在生效时,redisTemplate还没有注入 解决方案:在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate&lt;String
使用vite构建项目报错 C:\Users\ychen\work&gt;npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-
参考1 参考2 解决方案 # 点击安装源 协议选择 http:// 路径填写 mirrors.aliyun.com/centos/8.3.2011/BaseOS/x86_64/os URL类型 软件库URL 其他路径 # 版本 7 mirrors.aliyun.com/centos/7/os/x86
报错1 [root@slave1 data_mocker]# kafka-console-consumer.sh --bootstrap-server slave1:9092 --topic topic_db [2023-12-19 18:31:12,770] WARN [Consumer clie
错误1 # 重写数据 hive (edu)&gt; insert overwrite table dwd_trade_cart_add_inc &gt; select data.id, &gt; data.user_id, &gt; data.course_id, &gt; date_format(
错误1 hive (edu)&gt; insert into huanhuan values(1,&#39;haoge&#39;); Query ID = root_20240110071417_fe1517ad-3607-41f4-bdcf-d00b98ac443e Total jobs = 1
报错1:执行到如下就不执行了,没有显示Successfully registered new MBean. [root@slave1 bin]# /usr/local/software/flume-1.9.0/bin/flume-ng agent -n a1 -c /usr/local/softwa
虚拟及没有启动任何服务器查看jps会显示jps,如果没有显示任何东西 [root@slave2 ~]# jps 9647 Jps 解决方案 # 进入/tmp查看 [root@slave1 dfs]# cd /tmp [root@slave1 tmp]# ll 总用量 48 drwxr-xr-x. 2
报错1 hive&gt; show databases; OK Failed with exception java.io.IOException:java.lang.RuntimeException: Error in configuring object Time taken: 0.474 se
报错1 [root@localhost ~]# vim -bash: vim: 未找到命令 安装vim yum -y install vim* # 查看是否安装成功 [root@hadoop01 hadoop]# rpm -qa |grep vim vim-X11-7.4.629-8.el7_9.x
修改hadoop配置 vi /usr/local/software/hadoop-2.9.2/etc/hadoop/yarn-site.xml # 添加如下 &lt;configuration&gt; &lt;property&gt; &lt;name&gt;yarn.nodemanager.res