小编Sug*_*Raj的帖子

这是我的代码.我需要在x和y轴刻度中将初始值设置为"0".我尝试过最新的版本比例选项.

graphOptions = {               
            ///Boolean - Whether grid lines are shown across the chart
            scaleShowGridLines: false,    
            tooltipTitleTemplate: "<%= label%>",
            //String - Colour of the grid lines
            scaleGridLineColor: "rgba(0,0,0,.05)",
            //Number - Width of the grid lines
            scaleGridLineWidth: 1,
            //Boolean - Whether to show horizontal lines (except X axis)
            scaleShowHorizontalLines: true,
            //Boolean - Whether to show vertical lines (except Y axis)
            scaleShowVerticalLines: true,
            //Boolean - Whether the line is curved between points
            bezierCurve: true,
            //Number - Tension of the bezier curve between …

HTML代码:

<div class="form-group">
      <label class="col-md-3 control-label" for="event_date">Start at</label>  
      <div class="col-md-8">
        <input id="event_start_date" name="event_start_date" type="text"  placeholder="" class="form-control input-md event_date" required="">
          </div>
      </div>

      <div class="form-group">
       <label class="col-md-3 control-label" for="event_date">End at</label>  
         <div class="col-md-8">
      <input id="event_end_date" name="event_end_date" type="text" placeholder="" class="form-control input-md event_date" required="">
      </div>
</div>`

JavaScript代码:

$('#event_start_date').datetimepicker({
    minTime: "08:30:00"
});

我需要设置时间戳开始时间为上午8:30到结束时间为晚上8:30禁用其他时间选择器.怎么可以帮忙？

我尝试使用 R 编程发送keysElement。这是我的代码

require(RSelenium)
remdir<-remoteDriver()
remdir$open()

remdir$navigate("http://www.flipkart.com")
sbox<-remdr$findElement(using = 'name',"q")

sbox$sendkeysToElement(list("laptops",key="enter"))

但我收到这样的错误

Error in checkError(res) : 
Undefined error in httr call. httr output: length(url) == 1 is not TRUE

我的代码我正在使用sklearn kMeans算法。当我执行代码时，出现类似“ KMeans”对象没有属性“ labels_ ”的错误

Traceback (most recent call last):
 File ".\kmeans.py", line 56, in <module>
   np.unique(km.labels_, return_counts=True)
AttributeError: 'KMeans' object has no attribute 'labels_'

这是我的代码：

import pandas as pds
import nltk,re,string
from nltk.probability import FreqDist
from collections import defaultdict
from nltk.tokenize import sent_tokenize, word_tokenize, RegexpTokenizer
from nltk.tokenize.punkt import PunktSentenceTokenizer
from nltk.corpus import stopwords
from string import punctuation
from heapq import nlargest
# import and instantiate CountVectorizer
from sklearn.feature_extraction.text import CountVectorizer
vect = CountVectorizer()    
from sklearn.feature_extraction.text import TfidfVectorizer
vectorizer = …