{"id":941938,"date":"2024-12-26T21:48:17","date_gmt":"2024-12-26T13:48:17","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/941938.html"},"modified":"2024-12-26T21:48:19","modified_gmt":"2024-12-26T13:48:19","slug":"python%e5%a6%82%e4%bd%95%e5%91%88%e7%8e%b0%e5%9b%be","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/941938.html","title":{"rendered":"python\u5982\u4f55\u5448\u73b0\u56fe"},"content":{"rendered":"

\"python\u5982\u4f55\u5448\u73b0\u56fe\"<\/p>\n

Python\u5448\u73b0\u56fe\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5176\u4e2d\u5e38\u7528\u7684\u5305\u62ec\uff1a\u4f7f\u7528Matplotlib\u5e93\u521b\u5efa\u9759\u6001\u56fe\u3001\u7528Seaborn\u5e93\u8fdb\u884c\u9ad8\u7ea7\u7edf\u8ba1\u56fe\u5f62\u53ef\u89c6\u5316\u3001\u5229\u7528Plotly\u8fdb\u884c\u4ea4\u4e92\u5f0f\u56fe\u5f62\u5236\u4f5c\u3001\u901a\u8fc7Pandas\u8fdb\u884c\u6570\u636e\u5feb\u901f\u53ef\u89c6\u5316\u3002<\/strong>\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u5de5\u5177\u5728Python\u4e2d\u521b\u5efa\u548c\u5448\u73b0\u56fe\u5f62\u3002<\/p>\n<\/p>\n

\u4e00\u3001MATPLOTLIB\u5e93<\/p>\n<\/p>\n

Matplotlib\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u9002\u7528\u4e8e\u521b\u5efa\u9759\u6001\u3001\u57fa\u672c\u7684\u53ef\u89c6\u5316\u56fe\u5f62\u3002<\/p>\n<\/p>\n

    \n
  1. \n

    \u5b89\u88c5\u548c\u5bfc\u5165Matplotlib<\/strong><\/p>\n<\/p>\n

    \u8981\u4f7f\u7528Matplotlib\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7pip\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

    pip install matplotlib<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u7136\u540e\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165\uff1a<\/p>\n<\/p>\n
    import matplotlib.pyplot as plt<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  2. \n
    \u521b\u5efa\u57fa\u672c\u56fe\u5f62<\/strong><\/p>\n<\/p>\n
    Matplotlib\u80fd\u591f\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u5f62\uff0c\u5982\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u6563\u70b9\u56fe\u7b49\u3002\u4ee5\u4e0b\u662f\u521b\u5efa\u7b80\u5355\u6298\u7ebf\u56fe\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
    import matplotlib.pyplot as plt<\/p>\n
    x = [1, 2, 3, 4, 5]<\/p>\n
    y = [2, 3, 5, 7, 11]<\/p>\n
    plt.plot(x, y)<\/p>\n
    plt.title('Line Graph Example')<\/p>\n
    plt.xlabel('X-axis')<\/p>\n
    plt.ylabel('Y-axis')<\/p>\n
    plt.show()<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0cplt.plot()<\/code>\u51fd\u6570\u7528\u4e8e\u7ed8\u5236\u6298\u7ebf\u56fe\uff0cplt.title()<\/code>\u3001plt.xlabel()<\/code>\u548cplt.ylabel()<\/code>\u7528\u4e8e\u8bbe\u7f6e\u56fe\u8868\u7684\u6807\u9898\u548c\u8f74\u6807\u7b7e\u3002<\/p>\n<\/p>\n<\/li>\n
  3. \n
    \u81ea\u5b9a\u4e49\u56fe\u5f62<\/strong><\/p>\n<\/p>\n
    Matplotlib\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u81ea\u5b9a\u4e49\u9009\u9879\uff0c\u53ef\u4ee5\u6539\u53d8\u7ebf\u6761\u6837\u5f0f\u3001\u989c\u8272\u3001\u6807\u8bb0\u7b49\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
    plt.plot(x, y, color='green', marker='o', linestyle='dashed')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u7ebf\u6761\u989c\u8272\u4e3a\u7eff\u8272\uff0c\u6807\u8bb0\u4e3a\u5706\u5708\uff0c\u7ebf\u6761\u6837\u5f0f\u4e3a\u865a\u7ebf\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e8c\u3001SEABORN\u5e93<\/p>\n<\/p>\n
    Seaborn\u662f\u57fa\u4e8eMatplotlib\u6784\u5efa\u7684\u9ad8\u7ea7\u53ef\u89c6\u5316\u5e93\uff0c\u4e13\u6ce8\u4e8e\u7edf\u8ba1\u56fe\u5f62\u3002<\/p>\n<\/p>\n
      \n
    1. \n
      \u5b89\u88c5\u548c\u5bfc\u5165Seaborn<\/strong><\/p>\n<\/p>\n
      \u540c\u6837\u5730\uff0c\u53ef\u4ee5\u901a\u8fc7pip\u5b89\u88c5Seaborn\uff1a<\/p>\n<\/p>\n
      pip install seaborn<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u7136\u540e\u5bfc\u5165\u5e93\uff1a<\/p>\n<\/p>\n
      import seaborn as sns<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    2. \n
      \u7ed8\u5236\u7edf\u8ba1\u56fe\u5f62<\/strong><\/p>\n<\/p>\n
      Seaborn\u80fd\u591f\u8f7b\u677e\u521b\u5efa\u590d\u6742\u7684\u7edf\u8ba1\u56fe\u5f62\uff0c\u4f8b\u5982\u7bb1\u7ebf\u56fe\u3001\u70ed\u529b\u56fe\u3001\u5206\u5e03\u56fe\u7b49\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u521b\u5efa\u7bb1\u7ebf\u56fe\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
      import seaborn as sns<\/p>\n
      import matplotlib.pyplot as plt<\/p>\n
      data = sns.load_dataset('iris')<\/p>\n
      sns.boxplot(x='species', y='sepal_length', data=data)<\/p>\n
      plt.title('Box Plot Example')<\/p>\n
      plt.show()<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0csns.boxplot()<\/code>\u7528\u4e8e\u7ed8\u5236\u7bb1\u7ebf\u56fe\uff0cdata<\/code>\u53c2\u6570\u6307\u5b9a\u6570\u636e\u96c6\u3002<\/p>\n<\/p>\n<\/li>\n
    3. \n
      \u81ea\u5b9a\u4e49\u98ce\u683c<\/strong><\/p>\n<\/p>\n
      Seaborn\u63d0\u4f9b\u4e86\u591a\u79cd\u4e3b\u9898\u548c\u8c03\u8272\u677f\uff0c\u4fbf\u4e8e\u81ea\u5b9a\u4e49\u56fe\u5f62\u98ce\u683c\uff1a<\/p>\n<\/p>\n
      sns.set_theme(style="whitegrid")<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4f7f\u7528set_theme()<\/code>\u51fd\u6570\u53ef\u4ee5\u8bbe\u7f6e\u56fe\u5f62\u7684\u603b\u4f53\u98ce\u683c\uff0c\u5982\u767d\u8272\u7f51\u683c\u80cc\u666f\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001PLOTLY\u5e93<\/p>\n<\/p>\n
      Plotly\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u5f62\u7684\u5e93\uff0c\u9002\u5408\u9700\u8981\u52a8\u6001\u7279\u6027\u548c\u4ea4\u4e92\u529f\u80fd\u7684\u53ef\u89c6\u5316\u9700\u6c42\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        \u5b89\u88c5\u548c\u5bfc\u5165Plotly<\/strong><\/p>\n<\/p>\n
        \u901a\u8fc7pip\u5b89\u88c5Plotly\uff1a<\/p>\n<\/p>\n
        pip install plotly<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5bfc\u5165Plotly\uff1a<\/p>\n<\/p>\n
        import plotly.express as px<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      2. \n
        \u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u5f62<\/strong><\/p>\n<\/p>\n
        Plotly\u80fd\u591f\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u5f62\uff0c\u4f8b\u5982\u4ea4\u4e92\u5f0f\u6298\u7ebf\u56fe\u3001\u6563\u70b9\u56fe\u3001\u67f1\u72b6\u56fe\u7b49\u3002\u4ee5\u4e0b\u662f\u521b\u5efa\u4ea4\u4e92\u5f0f\u6563\u70b9\u56fe\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
        import plotly.express as px<\/p>\n
        df = px.data.iris()<\/p>\n
        fig = px.scatter(df, x='sepal_width', y='sepal_length', color='species', title='Scatter Plot Example')<\/p>\n
        fig.show()<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        px.scatter()<\/code>\u51fd\u6570\u7528\u4e8e\u7ed8\u5236\u6563\u70b9\u56fe\uff0cfig.show()<\/code>\u7528\u4e8e\u663e\u793a\u56fe\u5f62\u3002<\/p>\n<\/p>\n<\/li>\n
      3. \n
        \u9ad8\u7ea7\u7279\u6027<\/strong><\/p>\n<\/p>\n
        Plotly\u652f\u6301\u4e30\u5bcc\u7684\u4ea4\u4e92\u529f\u80fd\uff0c\u4f8b\u5982\u7f29\u653e\u3001\u5e73\u79fb\u3001\u60ac\u505c\u4fe1\u606f\u7b49\uff0c\u80fd\u591f\u589e\u5f3a\u7528\u6237\u4f53\u9a8c\u3002\u6b64\u5916\uff0cPlotly\u8fd8\u652f\u6301\u5728Web\u5e94\u7528\u4e2d\u5d4c\u5165\u56fe\u5f62\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001PANDAS\u5e93<\/p>\n<\/p>\n
        Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u5176\u5185\u7f6e\u7684\u53ef\u89c6\u5316\u529f\u80fd\u80fd\u591f\u5feb\u901f\u521b\u5efa\u56fe\u5f62\u3002<\/p>\n<\/p>\n
          \n
        1. \n
          \u5b89\u88c5\u548c\u5bfc\u5165Pandas<\/strong><\/p>\n<\/p>\n
          \u901a\u8fc7pip\u5b89\u88c5Pandas\uff1a<\/p>\n<\/p>\n
          pip install pandas<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5bfc\u5165Pandas\uff1a<\/p>\n<\/p>\n
          import pandas as pd<\/p>\n
          <\/code><\/pre>\n<\/p>\n<\/li>\n
        2. \n
          \u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<\/p>\n
          Pandas\u96c6\u6210\u4e86Matplotlib\uff0c\u53ef\u4ee5\u76f4\u63a5\u901a\u8fc7DataFrame\u5bf9\u8c61\u8c03\u7528\u7ed8\u56fe\u51fd\u6570\u3002\u4ee5\u4e0b\u662f\u521b\u5efa\u67f1\u72b6\u56fe\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
          import pandas as pd<\/p>\n
          import matplotlib.pyplot as plt<\/p>\n
          data = {'A': 10, 'B': 20, 'C': 15}<\/p>\n
          df = pd.DataFrame(list(data.items()), columns=['Category', 'Value'])<\/p>\n
          df.plot(kind='bar', x='Category', y='Value', title='Bar Chart Example')<\/p>\n
          plt.show()<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          plot()<\/code>\u51fd\u6570\u53ef\u4ee5\u7ed8\u5236\u591a\u79cd\u7c7b\u578b\u7684\u56fe\u5f62\uff0c\u901a\u8fc7kind<\/code>\u53c2\u6570\u6307\u5b9a\u56fe\u5f62\u7c7b\u578b\u3002<\/p>\n<\/p>\n<\/li>\n
        3. \n
          \u81ea\u5b9a\u4e49\u56fe\u5f62<\/strong><\/p>\n<\/p>\n
          Pandas\u7684\u7ed8\u56fe\u529f\u80fd\u4e5f\u53ef\u4ee5\u8fdb\u884c\u4e00\u5b9a\u7a0b\u5ea6\u7684\u81ea\u5b9a\u4e49\uff0c\u4f8b\u5982\u8bbe\u7f6e\u989c\u8272\u3001\u8c03\u6574\u56fe\u5f62\u5c3a\u5bf8\u7b49\uff1a<\/p>\n<\/p>\n
          df.plot(kind='bar', x='Category', y='Value', color='skyblue', figsize=(8, 6))<\/p>\n
          <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
          \u603b\u7ed3\u6765\u8bf4\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u5e93\u548c\u5de5\u5177\u6765\u521b\u5efa\u4e30\u5bcc\u7684\u56fe\u5f62\u53ef\u89c6\u5316\uff0c\u4ece\u7b80\u5355\u7684\u9759\u6001\u56fe\u5f62\u5230\u590d\u6742\u7684\u4ea4\u4e92\u5f0f\u56fe\u5f62\uff0c\u5404\u79cd\u9700\u6c42\u90fd\u80fd\u5f97\u5230\u6ee1\u8db3\u3002\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u6570\u636e\u5206\u6790\u548c\u5c55\u793a\u7684\u6548\u7387\u3002<\/p>\n<\/p>\n
          \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
           \u5982\u4f55\u4f7f\u7528Python\u7ed8\u5236\u57fa\u672c\u7684\u56fe\u5f62\uff1f<\/strong>
          Python\u63d0\u4f9b\u4e86\u591a\u4e2a\u5e93\u6765\u7ed8\u5236\u56fe\u5f62\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u5305\u62ecMatplotlib\u548cSeaborn\u3002\u4f7f\u7528Matplotlib\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u4ee3\u7801\u7ed8\u5236\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u6563\u70b9\u56fe\u7b49\u3002\u4f8b\u5982\uff0c\u4f7f\u7528plt.plot()<\/code>\u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u7ed8\u5236\u6298\u7ebf\u56fe\u3002\u5b89\u88c5\u5e93\u540e\uff0c\u53ea\u9700\u5bfc\u5165\u5e76\u4f7f\u7528\u76f8\u5e94\u7684\u51fd\u6570\u5373\u53ef\u5b9e\u73b0\u56fe\u5f62\u7684\u53ef\u89c6\u5316\u3002<\/p>\n
          Python\u4e2d\u6709\u54ea\u4e9b\u5e93\u9002\u5408\u6570\u636e\u53ef\u89c6\u5316\uff1f<\/strong>
          \u9664\u4e86Matplotlib\u548cSeaborn\uff0cPython\u8fd8\u6709\u5176\u4ed6\u4e00\u4e9b\u5f3a\u5927\u7684\u53ef\u89c6\u5316\u5e93\uff0c\u5982Plotly\u3001Bokeh\u548cAltAI<\/a>r\u3002Plotly\u652f\u6301\u4ea4\u4e92\u5f0f\u56fe\u5f62\uff0c\u9002\u5408\u5236\u4f5c\u7f51\u9875\u5e94\u7528\u4e2d\u7684\u6570\u636e\u53ef\u89c6\u5316\uff1bBokeh\u5219\u53ef\u4ee5\u751f\u6210\u9ad8\u6548\u7684\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\uff0c\u9002\u5408\u5927\u89c4\u6a21\u6570\u636e\u96c6\uff1bAltair\u91c7\u7528\u58f0\u660e\u5f0f\u8bed\u6cd5\uff0c\u975e\u5e38\u9002\u5408\u5feb\u901f\u751f\u6210\u590d\u6742\u7684\u56fe\u5f62\u3002<\/p>\n
          \u5982\u4f55\u5c06Python\u751f\u6210\u7684\u56fe\u5f62\u4fdd\u5b58\u4e3a\u56fe\u7247\u6587\u4ef6\uff1f<\/strong>
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