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<h2>本页介绍array数组的运算相关</h2>
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<div class="wenzi">
<div class="wenzi">
<a name="1"></a>
<h3>array数组直接相加</h3>
<div class="code">
<span>IN:</span>
<div class="codee">
a=np.array([1,2,3,4,5])
<br>
b=np.array([2,3,4,5,6])
<br>
a+b
</div>
</div>
<div class="out"><span>Out:</span><img src="./images/numpy-1/out22.png" alt=""></div>
<div class="command">
<p>
运算结果是对应元素的直接相加减后组成的新数组，这是arrray与python原生列表的显著不同点
</p>
</div>
</div>
<div class="wenzi">
<a name="2"></a>
<h3>array数组直接相乘</h3>
<div class="code">
<span>IN:</span>
<div class="codee">
a=np.array([1,2,3,4,5])
<br>
b=np.array([2,3,4,5,6])
<br>
a+b
</div>
</div>
<div class="out"><span>Out:</span><img src="./images/numpy-1/out23.png" alt=""></div>
<div class="command">
<p>
运算结果是对应元素的直接相乘除后组成的新数组
</p>
</div>
</div>
<div class="wenzi">
<a name="3"></a>
<h3>数组排序</h3>
<div class="code">
<span>IN:</span>
<div class="codee">
a=np.array([692795,42995,327855,580897,478523,157074,306904,662552,284652,159302])
<br>
np.sort(a)
</div>
</div>
<div class="out"><span>Out:</span><img src="./images/numpy-1/out24.png" alt=""></div>
<div class="command">
<p>
注意：仅仅只是对数组排序，并没有改变原本的数组a
</p>
</div>
<div class="code">
<span>IN:</span>
<div class="codee">
order=np.argsort(a)
order
</div>
</div>
<div class="out"><span>Out:</span><img src="./images/numpy-1/out25.png" alt=""></div>
<div class="command">
<p>
argsort函数，，返回从小到大的排列数组中的索引位置
</p>
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<div class="wenzi">
<a name="4"></a>
<h3>对数组中的元素求和与均值</h3>
<div class="code">
<span>IN:</span>
<div class="codee">
np.sum(a)
</div>
</div>
<div class="out"><span>Out:</span><img src="./images/numpy-1/out26.png" alt=""></div>
<div class="command">
<p>
同样的也可以写成a.sum
</p>
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<div class="code">
2022.5 网页设计大作业.zip （100个子文件） 
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