Python 宸ュ叿搴撴瘡鏃ユ帹鑽?銆怤umPy銆?

鏂囩珷鐩綍

    • 寮曡█
    • Python绉戝璁$畻搴撶殑閲嶈鎬?/li>
    • 浠婃棩鎺ㄨ崘锛歂umPy宸ュ叿搴?/li>
      • 涓昏鍔熻兘锛?/li>
      • 浣跨敤鍦烘櫙锛?/li>
    • 瀹夎涓庨厤缃?/li>
    • 蹇€熶笂鎵?/li>
      • 绀轰緥浠g爜
      • 浠g爜瑙i噴
    • 瀹為檯搴旂敤妗堜緥
      • 妗堜緥锛氬浘鍍忓鐞?/li>
      • 妗堜緥鍒嗘瀽
    • 楂樼骇鐗规€?/li>
      • 骞挎挱鏈哄埗
      • 楂樼骇绱㈠紩
      • 閫氱敤鍑芥暟锛坲func锛?/li>
    • 鎬ц兘浼樺寲鎶€宸?/li>
    • 鎵╁睍闃呰涓庤祫婧?/li>
    • 浼樼己鐐瑰垎鏋?/li>
      • 浼樼偣锛?/li>
      • 缂虹偣锛?/li>
    • 鎬荤粨

鍦ㄨ繖閲屾彃鍏ュ浘鐗囨弿杩?></p> 
<p>銆?宸叉洿鏂板畬 TypeScript 璁捐妯″紡 涓撴爮锛屾劅鍏磋叮鍙互鍏虫敞涓€涓嬶紝涓€璧峰涔犱氦娴侌煍ヰ煍ヰ煍?銆?/p> 
<h3>寮曡█</h3> 
<p>鍦ㄧ瀛﹁绠楀拰鏁版嵁鍒嗘瀽棰嗗煙锛岄珮鏁堝鐞嗗ぇ瑙勬ā鏁板€兼暟鎹槸涓€椤瑰叧閿渶姹傘€侾ython浣滀负涓€绉嶇伒娲昏€屽己澶х殑缂栫▼璇█锛岄€氳繃鍏朵赴瀵岀殑绉戝璁$畻搴撶敓鎬佺郴缁燂紝涓虹爺绌朵汉鍛樺拰寮€鍙戣€呮彁渚涗簡寮哄ぇ鐨勫伐鍏枫€備粖澶╋紝鎴戜滑灏嗕负鎮ㄤ粙缁峆ython绉戝璁$畻棰嗗煙鐨勫熀鐭冲簱鈥斺€?strong>NumPy</strong>銆傛棤璁烘偍鏄暟鎹瀛﹀銆佹満鍣ㄥ涔犲伐绋嬪笀锛岃繕鏄绉戝璁$畻鎰熷叴瓒g殑Python鐖卞ソ鑰咃紝NumPy閮藉皢鎴愪负鎮ㄤ笉鍙垨缂虹殑寰楀姏鍔╂墜銆?/p> 
<h3>Python绉戝璁$畻搴撶殑閲嶈鎬?/h3> 
<ul>
 <li><strong>楂樻€ц兘璁$畻</strong>锛氱瀛﹁绠楀簱鑳藉楂樻晥澶勭悊澶ц妯℃暟鍊兼暟缁勶紝澶уぇ鎻愬崌璁$畻閫熷害銆?/li>
 <li><strong>绠€鍖栧鏉傛搷浣?/strong>锛氬皝瑁呬簡澶嶆潅鐨勬暟瀛﹁繍绠楋紝浣垮緱绉戝璁$畻鍜屾暟鎹鐞嗗彉寰楃畝鍗曠洿瑙傘€?/li>
 <li><strong>鎻愰珮浠g爜鏁堢巼</strong>锛氭彁渚涘悜閲忓寲鎿嶄綔锛屽噺灏戝惊鐜娇鐢紝鎻愰珮浠g爜杩愯鏁堢巼銆?/li>
 <li><strong>璺ㄥ绉戝簲鐢?/strong>锛氭敮鎸佸悇绉嶇瀛﹀拰宸ョ▼棰嗗煙鐨勮绠楅渶姹傦紝淇冭繘璺ㄥ绉戠爺绌躲€?/li>
 <li><strong>涓庡叾浠栧簱鍗忎綔</strong>锛氳兘澶熶笌鍏朵粬Python绉戝璁$畻鐢熸€佺郴缁燂紙濡侾andas銆丼ciPy銆丮atplotlib锛夋棤缂濋泦鎴愩€?/li>
</ul> 
<h3>浠婃棩鎺ㄨ崘锛歂umPy宸ュ叿搴?/h3> 
<p>NumPy锛圢umerical Python鐨勭缉鍐欙級鏄疨ython绉戝璁$畻鐨勫熀纭€搴擄紝瀹冩彁渚涗簡涓€涓己澶х殑N缁存暟缁勫璞★紝浠ュ強鐢ㄤ簬澶勭悊杩欎簺鏁扮粍鐨勪赴瀵岀殑鏁板鍑芥暟搴撱€侼umPy涓嶄粎鏄澶氬叾浠栫瀛﹁绠楀簱鐨勫熀纭€锛屼篃鏄繘琛岄珮鏁堟暟鍊艰绠楃殑鍏抽敭宸ュ叿銆?/p> 
<h4>涓昏鍔熻兘锛?/h4> 
<ul>
 <li>楂樻€ц兘鐨勫缁存暟缁勫璞★紙ndarray锛?/li>
 <li>鐢ㄤ簬鏁扮粍杩愮畻鐨勫悇绉嶆暟瀛﹀嚱鏁?/li>
 <li>绾挎€т唬鏁拌繍绠?/li>
 <li>鍌呴噷鍙跺彉鎹?/li>
 <li>闅忔満鏁扮敓鎴?/li>
 <li>褰㈢姸鎿嶄綔</li>
 <li>鏁扮粍绱㈠紩銆佸垏鐗囧拰杩唬</li>
</ul> 
<h4>浣跨敤鍦烘櫙锛?/h4> 
<ul>
 <li>绉戝璁$畻鍜屾暟鍊煎垎鏋?/li>
 <li>鍥惧儚澶勭悊</li>
 <li>鏈哄櫒瀛︿範绠楁硶瀹炵幇</li>
 <li>淇″彿澶勭悊</li>
 <li>閲戣瀺妯″瀷</li>
 <li>鐗╃悊妯℃嫙</li>
 <li>缁熻鍒嗘瀽</li>
</ul> 
<h3>瀹夎涓庨厤缃?/h3> 
<p>浣跨敤pip瀹夎NumPy锛?/p> 
<pre><code >pip <span >install</span> numpy
</code></pre> 
<h3>蹇€熶笂鎵?/h3> 
<h4>绀轰緥浠g爜</h4> 
<p>浠ヤ笅鏄竴涓畝鍗曠殑绀轰緥锛屽睍绀哄浣曚娇鐢?NumPy 鍒涘缓鏁扮粍銆佽繘琛屽熀鏈繍绠楀拰鏁扮粍鎿嶄綔锛?/p> 
<pre><code ><span >import</span> numpy <span >as</span> np

<span ># 鍒涘缓鏁扮粍</span>
arr1 <span >=</span> np<span >.</span>array<span >(</span><span >[</span><span >1</span><span >,</span> <span >2</span><span >,</span> <span >3</span><span >,</span> <span >4</span><span >,</span> <span >5</span><span >]</span><span >)</span>
arr2 <span >=</span> np<span >.</span>array<span >(</span><span >[</span><span >[</span><span >1</span><span >,</span> <span >2</span><span >,</span> <span >3</span><span >]</span><span >,</span> <span >[</span><span >4</span><span >,</span> <span >5</span><span >,</span> <span >6</span><span >]</span><span >,</span> <span >[</span><span >7</span><span >,</span> <span >8</span><span >,</span> <span >9</span><span >]</span><span >]</span><span >)</span>

<span ># 鏁扮粍鍩烘湰灞炴€?/span>
<span >print</span><span >(</span><span >, arr1.ndim) print("arr2鐨勫舰鐘?", arr2.shape) print("arr2鐨勬暟鎹被鍨?", arr2.dtype) # 鏁扮粍杩愮畻 print("arr1 + 2 =", arr1 + 2) print("arr1 * 2 =", arr1 * 2) print

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