{"id":61569,"date":"2025-04-29T12:44:55","date_gmt":"2025-04-29T04:44:55","guid":{"rendered":"https:\/\/fwq.ai\/blog\/61569\/"},"modified":"2025-04-29T12:44:55","modified_gmt":"2025-04-29T04:44:55","slug":"%e5%9c%a8linux%e7%b3%bb%e7%bb%9f%e4%b8%8a%e4%bd%bf%e7%94%a8pycharm%e8%bf%9b%e8%a1%8c%e5%a4%a7%e8%a7%84%e6%a8%a1%e6%95%b0%e6%8d%ae%e5%a4%84%e7%90%86%e7%9a%84%e9%85%8d%e7%bd%ae%e6%96%b9%e6%b3%95-2","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/61569\/","title":{"rendered":"\u5728Linux\u7cfb\u7edf\u4e0a\u4f7f\u7528PyCharm\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u7684\u914d\u7f6e\u65b9\u6cd5"},"content":{"rendered":"

\u5728\u7cfb\u7edf\u4e0a\u4f7f\u7528\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u7684\u914d\u7f6e\u65b9\u6cd5<\/p>\n

\u5728\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\uff0c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u662f\u975e\u5e38\u5e38\u89c1\u7684\u4efb\u52a1\u3002\u5728Linux\u7cfb\u7edf\u4e0a\u4f7f\u7528PyCharm\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u53ef\u4ee5\u63d0\u4f9b\u66f4\u597d\u7684\u5f00\u53d1\u73af\u5883\u548c\u66f4\u9ad8\u7684\u6548\u7387\u3002\u672c\u6587\u5c06\u4ecb\u7ecd\u5982\u4f55\u5728Linux\u7cfb\u7edf\u4e0a\u914d\u7f6ePyCharm\u4ee5\u4fbf\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e9b\u4f7f\u7528\u793a\u4f8b\u4ee3\u7801\u3002<\/p>\n

    \n
  1. \n

    \u5b89\u88c5\u548c\u914d\u7f6ePython\u73af\u5883
    \u5728Linux\u7cfb\u7edf\u4e0a\uff0cPython\u901a\u5e38\u5df2\u7ecf\u9884\u88c5\u4e86\u3002\u53ef\u4ee5\u901a\u8fc7\u5728\u7ec8\u7aef\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u6765\u68c0\u67e5Python\u662f\u5426\u5b89\u88c5\uff1a<\/p>\n

    python --version<\/pre>\n
     \u767b\u5f55\u540e\u590d\u5236 <\/p>\n
    \u5982\u679c\u8fd4\u56dePython\u7248\u672c\u53f7\uff0c\u8bf4\u660e\u5df2\u7ecf\u5b89\u88c5\u4e86Python\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5Python\uff0c\u5219\u9700\u8981\u5148\u5b89\u88c5Python\u3002<\/p>\n<\/li>\n<\/ol>\n
    \u5728PyCharm\u4e2d\u914d\u7f6ePython\u89e3\u91ca\u5668\uff1a<\/p>\n
      \n
    • \u6253\u5f00PyCharm\uff0c\u70b9\u51fb\u83dc\u5355\u680f\u4e2d\u7684\u201cFile\u201d>\u201cSettings\u201d\u3002<\/li>\n
    • \u5728\u5f39\u51fa\u7684\u7a97\u53e3\u4e2d\uff0c\u9009\u62e9\u201cProject: Your_Project_Name\u201d>\u201cProject Interpreter\u201d\u3002<\/li>\n
    • \u70b9\u51fb\u53f3\u4e0a\u89d2\u7684\u201cAdd\u201d\u6309\u94ae\uff0c\u5e76\u9009\u62e9\u7cfb\u7edf\u4e0a\u5df2\u7ecf\u5b89\u88c5\u7684Python\u89e3\u91ca\u5668\u3002<\/li>\n
    • \u70b9\u51fb\u201cOK\u201d\u6309\u94ae\u4fdd\u5b58\u8bbe\u7f6e\u3002<\/li>\n<\/ul>\n
        \n
      1. \u5b89\u88c5\u5e76\u914d\u7f6ePyCharm<\/li>\n
      2. \u4e0b\u8f7dPyCharm\u793e\u533a\u7248\u6216\u4e13\u4e1a\u7248\uff0c\u53ef\u4ee5\u4eceJetBrains\u5b98\u7f51\u4e0b\u8f7d\u5e76\u5b89\u88c5\u3002<\/li>\n
      3. \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6253\u5f00PyCharm\u5e76\u521b\u5efa\u4e00\u4e2a\u65b0\u9879\u76ee\u3002<\/li>\n
      4. \u5bfc\u5165\u6570\u636e\u5904\u7406\u5e93<\/li>\n
      5. \n
        \u5728PyCharm\u7684\u9879\u76ee\u4e2d\uff0c\u6253\u5f00\u7ec8\u7aef\u5e76\u5b89\u88c5\u6240\u9700\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u4f8b\u5982pandas\u3001numpy\u3001matplotlib\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n
        pip install pandas numpy matplotlib<\/pre>\n
         \u767b\u5f55\u540e\u590d\u5236 <\/li>\n
      6. \u4f7f\u7528\u793a\u4f8b\u4ee3\u7801\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406
        \u4e0b\u9762\u662f\u4e00\u4e2a\u4f7f\u7528pandas\u5e93\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/li>\n<\/ol>\n
        import pandas as pd\n\n# \u8bfb\u53d6\u5927\u89c4\u6a21\u6570\u636e\u6587\u4ef6\ndata = pd.read_csv('large_data.csv')\n\n# \u67e5\u770b\u6570\u636e\u524d\u51e0\u884c\nprint(data.head())\n\n# \u67e5\u770b\u6570\u636e\u7edf\u8ba1\u4fe1\u606f\nprint(data.describe())\n\n# \u6570\u636e\u6e05\u6d17\u548c\u5904\u7406\ndata.dropna()  # \u5220\u9664\u7f3a\u5931\u503c\ndata = data[data['column_name'] &gt; 0]  # \u8fc7\u6ee4\u6570\u636e\ndata['new_column'] = data['column1'] + data['column2']  # \u521b\u5efa\u65b0\u5217\n\n# \u6570\u636e\u53ef\u89c6\u5316\nimport matplotlib.pyplot as plt\n\nplt.plot(data['column_name'])\nplt.xlabel('X-axis label')\nplt.ylabel('Y-axis label')\nplt.title('Data Visualization')\nplt.show()\n<\/pre>\n
         \u767b\u5f55\u540e\u590d\u5236 <\/p>\n
        \u4ee5\u4e0a\u4ee3\u7801\u4f7f\u7528pandas\u5e93\u8bfb\u53d6\u5927\u89c4\u6a21\u6570\u636e\u6587\u4ef6\uff0c\u5e76\u5c55\u793a\u4e86\u5e38\u89c1\u7684\u6570\u636e\u5904\u7406\u548c\u53ef\u89c6\u5316\u64cd\u4f5c\u3002\u6839\u636e\u5b9e\u9645\u9700\u6c42\uff0c\u53ef\u4ee5\u7ed3\u5408\u5176\u4ed6\u5e93\u8fdb\u884c\u66f4\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u4efb\u52a1\u3002<\/p>\n
        \u603b\u7ed3\uff1a
        \u5728Linux\u7cfb\u7edf\u4e0a\u4f7f\u7528PyCharm\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u53ef\u4ee5\u63d0\u9ad8\u5f00\u53d1\u6548\u7387\u548c\u65b9\u4fbf\u4ee3\u7801\u7ba1\u7406\u3002\u672c\u6587\u4ecb\u7ecd\u4e86\u5982\u4f55\u5728Linux\u7cfb\u7edf\u4e0a\u914d\u7f6ePyCharm\uff0c\u5e76\u63d0\u4f9b\u4e86\u4e00\u4e2a\u4f7f\u7528\u793a\u4f8b\u4ee3\u7801\u7684\u6848\u4f8b\u3002\u5e0c\u671b\u8bfb\u8005\u53ef\u4ee5\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u7075\u6d3b\u8fd0\u7528\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u63d0\u5347\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\u3002<\/p>\n
        \u4ee5\u4e0a\u5c31\u662f\u5728Linux\u7cfb\u7edf\u4e0a\u4f7f\u7528PyCharm\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u7684\u914d\u7f6e\u65b9\u6cd5\u7684\u8be6\u7ec6\u5185\u5bb9\uff0c\u66f4\u591a\u8bf7\u5173\u6ce8FDCServers\u5176\u5b83\u76f8\u5173\u6587\u7ae0\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"
        \u5728\u7cfb\u7edf\u4e0a\u4f7f\u7528\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u7684\u914d\u7f6e\u65b9\u6cd5 \u5728\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\uff0c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u662f\u975e\u5e38\u5e38\u89c1\u7684\u4efb\u52a1\u3002\u5728Linux\u7cfb\u7edf\u4e0a\u4f7f\u7528PyCharm\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u53ef\u4ee5\u63d0\u4f9b\u66f4\u597d\u7684\u5f00\u53d1\u73af\u5883\u548c\u66f4\u9ad8\u7684\u6548\u7387\u3002\u672c\u6587\u5c06\u4ecb\u7ecd\u5982\u4f55\u5728Linux\u7cfb\u7edf\u4e0a\u914d\u7f6ePyCharm\u4ee5\u4fbf\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e9b\u4f7f\u7528\u793a\u4f8b\u4ee3\u7801\u3002 \u5b89\u88c5\u548c\u914d\u7f6ePython\u73af\u5883\u5728Linux\u7cfb\u7edf\u4e0a\uff0cPython\u901a\u5e38\u5df2\u7ecf\u9884\u88c5\u4e86\u3002\u53ef\u4ee5\u901a\u8fc7\u5728\u7ec8\u7aef\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u6765\u68c0\u67e5Python\u662f\u5426\u5b89\u88c5\uff1a python –version \u767b\u5f55\u540e\u590d\u5236 \u5982\u679c\u8fd4\u56dePython\u7248\u672c\u53f7\uff0c\u8bf4\u660e\u5df2\u7ecf\u5b89\u88c5\u4e86Python\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5Python\uff0c\u5219\u9700\u8981\u5148\u5b89\u88c5Python\u3002 \u5728PyCharm\u4e2d\u914d\u7f6ePython\u89e3\u91ca\u5668\uff1a \u6253\u5f00PyCharm\uff0c\u70b9\u51fb\u83dc\u5355\u680f\u4e2d\u7684\u201cFile\u201d>\u201cSettings\u201d\u3002 \u5728\u5f39\u51fa\u7684\u7a97\u53e3\u4e2d\uff0c\u9009\u62e9\u201cProject: Your_Project_Name\u201d>\u201cProject Interpreter\u201d\u3002 \u70b9\u51fb\u53f3\u4e0a\u89d2\u7684\u201cAdd\u201d\u6309\u94ae\uff0c\u5e76\u9009\u62e9\u7cfb\u7edf\u4e0a\u5df2\u7ecf\u5b89\u88c5\u7684Python\u89e3\u91ca\u5668\u3002 \u70b9\u51fb\u201cOK\u201d\u6309\u94ae\u4fdd\u5b58\u8bbe\u7f6e\u3002 \u5b89\u88c5\u5e76\u914d\u7f6ePyCharm \u4e0b\u8f7dPyCharm\u793e\u533a\u7248\u6216\u4e13\u4e1a\u7248\uff0c\u53ef\u4ee5\u4eceJetBrains\u5b98\u7f51\u4e0b\u8f7d\u5e76\u5b89\u88c5\u3002 \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6253\u5f00PyCharm\u5e76\u521b\u5efa\u4e00\u4e2a\u65b0\u9879\u76ee\u3002 \u5bfc\u5165\u6570\u636e\u5904\u7406\u5e93 \u5728PyCharm\u7684\u9879\u76ee\u4e2d\uff0c\u6253\u5f00\u7ec8\u7aef\u5e76\u5b89\u88c5\u6240\u9700\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u4f8b\u5982pandas\u3001numpy\u3001matplotlib\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a pip install pandas numpy matplotlib \u767b\u5f55\u540e\u590d\u5236 \u4f7f\u7528\u793a\u4f8b\u4ee3\u7801\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u4e0b\u9762\u662f\u4e00\u4e2a\u4f7f\u7528pandas\u5e93\u8fdb\u884c\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u7684\u793a\u4f8b\u4ee3\u7801\uff1a import pandas as pd # \u8bfb\u53d6\u5927\u89c4\u6a21\u6570\u636e\u6587\u4ef6 data = pd.read_csv(‘large_data.csv’) # \u67e5\u770b\u6570\u636e\u524d\u51e0\u884c print(data.head()) # \u67e5\u770b\u6570\u636e\u7edf\u8ba1\u4fe1\u606f print(data.describe()) # \u6570\u636e\u6e05\u6d17\u548c\u5904\u7406 data.dropna() # \u5220\u9664\u7f3a\u5931\u503c data = data[data[‘column_name’] &gt; 0] # \u8fc7\u6ee4\u6570\u636e data[‘new_column’] = […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-61569","post","type-post","status-publish","format-standard","hentry","category-os"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/61569","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=61569"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/61569\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=61569"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=61569"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=61569"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}