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      <title>복사 by 마라탕</title>
      <link>https://padlet.com/hobbywhitebook/dd9dgcbw0yssh1yp</link>
      <description>아래 더하기 버튼을 클릭하여 토론 주제에 대한 답변을 게시하세요.</description>
      <language>en-us</language>
      <pubDate>2024-11-09 05:03:52 UTC</pubDate>
      <lastBuildDate>2025-01-04 05:47:44 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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      <item>
         <title></title>
         <author>hobbywhitebook</author>
         <link>https://padlet.com/hobbywhitebook/dd9dgcbw0yssh1yp/wish/3250392912</link>
         <description><![CDATA[<pre><code class="language-notebook-python">f = open("class.csv", encoding = "euc-kr")</code></pre>]]></description>
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         <pubDate>2024-12-07 04:59:57 UTC</pubDate>
         <guid>https://padlet.com/hobbywhitebook/dd9dgcbw0yssh1yp/wish/3250392912</guid>
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         <title></title>
         <author>hobbywhitebook</author>
         <link>https://padlet.com/hobbywhitebook/dd9dgcbw0yssh1yp/wish/3279620812</link>
         <description><![CDATA[<p>여기에</p><pre><code class="language-notebook-python">import csv
import numpy as np
import matplotlib.pyplot as plt
f=open('class.csv')
data=csv.reader(f)
h=next(data)
w=next(data)
h = np.array(h[2:], dtype = int)
w = np.array(w[2:], dtype = int)
for row in data :
    if '키' in row[1]:
        # concatenate(a, b) : 배열 a와 b를 병합하는 함수 # 3
        # 기존의 배열 h와 새로운 데이터를 병합하여 배열 h에 저장
        # axix는 배열의 차원을 결정하는 속성입니다. None : 1차원, 그 외: 다차원
        h = np.concatenate((h, np.array(row[2:], dtype = int)), axis = None)
    if '몸무게' in row[1] :
        # 기존의 배열 w와 새로운 데이터를 병합하여 배열 w에 저장
        w = np.concatenate((w, np.array(row[2:], dtype = int)), axis = None)
plt.scatter(h,w,c=w,cmap='jet')
plt.colorbar()
plt.show()</code></pre>]]></description>
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         <pubDate>2025-01-04 05:46:07 UTC</pubDate>
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