<ruby id="bdb3f"></ruby>

    <p id="bdb3f"><cite id="bdb3f"></cite></p>

      <p id="bdb3f"><cite id="bdb3f"><th id="bdb3f"></th></cite></p><p id="bdb3f"></p>
        <p id="bdb3f"><cite id="bdb3f"></cite></p>

          <pre id="bdb3f"></pre>
          <pre id="bdb3f"><del id="bdb3f"><thead id="bdb3f"></thead></del></pre>

          <ruby id="bdb3f"><mark id="bdb3f"></mark></ruby><ruby id="bdb3f"></ruby>
          <pre id="bdb3f"><pre id="bdb3f"><mark id="bdb3f"></mark></pre></pre><output id="bdb3f"></output><p id="bdb3f"></p><p id="bdb3f"></p>

          <pre id="bdb3f"><del id="bdb3f"><progress id="bdb3f"></progress></del></pre>

                <ruby id="bdb3f"></ruby>

                ??一站式輕松地調用各大LLM模型接口,支持GPT4、智譜、豆包、星火、月之暗面及文生圖、文生視頻 廣告
                [TOC] ***** ## 1.2. DataFrame 與 Series dataframe是二維結構化數據,series是一維數據。 dataframe有一個或者多個series組成,dataframe的一行或者一列就是一個series。 ### 1.2.1. Series的創建 **Series是能夠存儲任意數據類型的一維標簽數組** ``` # 根據字典創建series a = {"name":"xiaoming","age":18,"sex":"male"} pd.Series(a,name='dict') ``` ![](https://img.kancloud.cn/b2/e2/b2e2f141a28064270ea0683bb356195a_311x88.png) ``` # From scala pd.Series(5,index=list("abcdef")) ``` ![](https://img.kancloud.cn/9d/a5/9da59fe396f508a15e0f7d9c05a7978c_186x146.png) ``` #根據列表創建series s1 b = [1,2,3,4,5,6] s1 = pd.Series(b,index = list("abcdef")) ``` series的values屬性和index屬性 ![](https://img.kancloud.cn/b7/83/b7834681561148f67f5e9f858d9101c0_195x154.png) ![](https://img.kancloud.cn/3a/50/3a5029d95f254232932174cbb6c8f525_535x179.png) ### 1.2.2. DataFrame的創建 DataFrame中的任意一行或一列用type()都可知類型是series ``` #根據字典創建series a = {"name":["xiaoming","xiaohong","xiaogang"],"age":[12,13,14]} pd.DataFrame(data = a,index = list('abc')) ``` ![](https://img.kancloud.cn/13/e8/13e8f340cadafa19a770cf4688e3f25e_184x137.png) ``` b = [ [1,2,3,4], ['a','b','c','d'] ] #根據二維數組創建series,abcd是列名,ab是索引 pd.DataFrame(b,columns=list("ABCD"),index= list('ab')) ``` ![](https://img.kancloud.cn/00/81/00813cc8bcadebf7d1f6a4404bc29a3d_151x113.png) ``` a = {"name":"xiaoming","age":18,"sex":"male"} s1 = pd.Series(a) df_ = pd.DataFrame(s1,columns = ['Values']) df_ ``` ![](https://img.kancloud.cn/90/30/903002254ab3e93d4509b178915429e5_140x153.png) ![](https://img.kancloud.cn/96/5e/965e53f4e1963e6d96cb490403dcfcc5_424x185.png)
                  <ruby id="bdb3f"></ruby>

                  <p id="bdb3f"><cite id="bdb3f"></cite></p>

                    <p id="bdb3f"><cite id="bdb3f"><th id="bdb3f"></th></cite></p><p id="bdb3f"></p>
                      <p id="bdb3f"><cite id="bdb3f"></cite></p>

                        <pre id="bdb3f"></pre>
                        <pre id="bdb3f"><del id="bdb3f"><thead id="bdb3f"></thead></del></pre>

                        <ruby id="bdb3f"><mark id="bdb3f"></mark></ruby><ruby id="bdb3f"></ruby>
                        <pre id="bdb3f"><pre id="bdb3f"><mark id="bdb3f"></mark></pre></pre><output id="bdb3f"></output><p id="bdb3f"></p><p id="bdb3f"></p>

                        <pre id="bdb3f"><del id="bdb3f"><progress id="bdb3f"></progress></del></pre>

                              <ruby id="bdb3f"></ruby>

                              哎呀哎呀视频在线观看