{"id":30791,"date":"2024-10-28T06:03:53","date_gmt":"2024-10-28T06:03:53","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=30791"},"modified":"2024-11-26T06:47:25","modified_gmt":"2024-11-26T06:47:25","slug":"%ed%8c%8c%ec%9d%b4%ec%8d%ac-%ec%9e%90%eb%8f%99%eb%a7%a4%eb%a7%a4-%ea%b0%9c%eb%b0%9c-matplotlib-pie-%ec%b0%a8%ed%8a%b8-%ea%b7%b8%eb%a6%ac%ea%b8%b0","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/30791\/","title":{"rendered":"\ud30c\uc774\uc36c \uc790\ub3d9\ub9e4\ub9e4 \uac1c\ubc1c, matplotlib pie \ucc28\ud2b8 \uadf8\ub9ac\uae30"},"content":{"rendered":"<p><body><\/p>\n<article>\n<p>\n            \uc8fc\uc2dd, \uc678\ud658, \uc554\ud638\ud654\ud3d0 \ub4f1 \ub2e4\uc591\ud55c \uae08\uc735\uc790\uc0b0\uc744 \uc790\ub3d9\uc73c\ub85c \uac70\ub798\ud558\ub294 \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc758 \uac1c\ubc1c\uc5d0 \uc788\uc5b4 \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub294 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \uae08\uc735 \ub370\uc774\ud130\uc758 \ud328\ud134\uacfc \ud2b8\ub80c\ub4dc\ub97c \uc2dc\uac01\uc801\uc73c\ub85c \uc774\ud574\ud558\ub294 \uac83\uc740 \ud2b8\ub808\uc774\ub354\uc5d0\uac8c \ud070 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.<br \/>\n            \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ud30c\uc774\uc36c\uc744 \uc774\uc6a9\ud558\uc5ec \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc744 \uac1c\ubc1c\ud558\uace0, matplotlib \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud574 \ud22c\uc790 \ube44\uc728\uc744 \uc2dc\uac01\uc801\uc73c\ub85c \ud45c\ud604\ud558\ub294 pie \ucc28\ud2b8\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \ubc30\uc6cc\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n        <\/p>\n<h2>1. \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc758 \uc774\ud574<\/h2>\n<p>\n            \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c(X)\uc740 \ud2b9\uc815\ud55c \uaddc\uce59\uc744 \uae30\ubc18\uc73c\ub85c \ud558\uc5ec \uae08\uc735 \uc790\uc0b0\uc744 \uac70\ub798\ud558\ub294 \ud504\ub85c\uadf8\ub7a8\uc785\ub2c8\ub2e4. \uc774 \uc2dc\uc2a4\ud15c\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \uc2dc\uc7a5\uc758 \ub370\uc774\ud130\ub97c \uc2e4\uc2dc\uac04\uc73c\ub85c \uc218\uc9d1\ud558\uace0, \uc774\ub97c \ubd84\uc11d\ud558\uc5ec \ub9e4\uc218 \ub610\ub294 \ub9e4\ub3c4 \uacb0\uc815\uc744 \ub0b4\ub9bd\ub2c8\ub2e4.<br \/>\n            \ub9ce\uc740 \ud2b8\ub808\uc774\ub354\ub4e4\uc740 \ubcf5\uc7a1\ud55c \uc218\ud559\uc801 \ubaa8\ub378\uacfc \uc54c\uace0\ub9ac\uc998\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2dc\uc7a5\uc758 \ud750\ub984\uc744 \uc608\uce21\ud558\uace0, \ubcf4\ub2e4 \ud6a8\uc728\uc801\uc778 \uac70\ub798\ub97c \ucd94\uad6c\ud569\ub2c8\ub2e4.\n        <\/p>\n<h2>2. \ub370\uc774\ud130 \uc218\uc9d1<\/h2>\n<p>\n            \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\uae30 \uc704\ud574\uc11c\ub294 \uc2e0\ub8b0\ud560 \uc218 \uc788\ub294 \ub370\uc774\ud130 \uc18c\uc2a4\uc5d0\uc11c \uc2dc\uc7a5 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud574\uc57c \ud569\ub2c8\ub2e4. API\ub97c \ud1b5\ud574 \ub370\uc774\ud130\ub97c \uac00\uc838\uc624\ub294 \uac83\uc774 \uc77c\ubc18\uc801\uc774\uba70, \ud30c\uc774\uc36c\uc5d0\uc11c\ub294 `requests` \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac04\ud3b8\ud558\uac8c API \uc694\uccad\uc744 \ubcf4\ub0bc \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n        <\/p>\n<pre>\n<code>\nimport requests\n\ndef get_stock_data(symbol):\n    url = f'https:\/\/api.example.com\/v1\/stock\/{symbol}\/quote'\n    response = requests.get(url)\n    data = response.json()\n    return data\n<\/code>\n        <\/pre>\n<h2>3. \ub370\uc774\ud130\ub97c \ud1b5\ud55c \ubd84\uc11d<\/h2>\n<p>\n            \uc218\uc9d1\ud55c \ub370\uc774\ud130\ub97c \uae30\ubc18\uc73c\ub85c \ub9e4\ub9e4 \uc2e0\ud638\ub97c \uc0dd\uc131\ud558\ub294 \ubd84\uc11d \ub2e8\uacc4\uac00 \ud544\uc694\ud569\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 \uac04\ub2e8\ud55c \uc774\ub3d9\ud3c9\uade0\uc744 \ud65c\uc6a9\ud55c \ub9e4\ub9e4 \uc804\ub7b5\uc744 \uc608\uc81c\ub85c \ubcf4\uc5ec\ub4dc\ub9ac\uaca0\uc2b5\ub2c8\ub2e4.\n        <\/p>\n<pre>\n<code>\nimport pandas as pd\n\ndef moving_average(df, window):\n    return df['close'].rolling(window=window).mean()\n\ndef generate_signals(df):\n    df['short_mavg'] = moving_average(df, 20)\n    df['long_mavg'] = moving_average(df, 50)\n\n    df['signal'] = 0\n    df['signal'][20:] = np.where(df['short_mavg'][20:] &gt; df['long_mavg'][20:], 1, 0)\n    df['positions'] = df['signal'].diff()\n    return df\n<\/code>\n        <\/pre>\n<h2>4. Matplotlib Pie \ucc28\ud2b8 \uadf8\ub9ac\uae30<\/h2>\n<p>\n            \uc774\uc81c \uc6b0\ub9ac\ub294 matplotlib\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud22c\uc790 \ube44\uc728\uc744 \uc2dc\uac01\ud654\ud560 \ucc28\ud2b8\ub97c \uadf8\ub824\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. Pie \ucc28\ud2b8\ub294 \ud2b9\uc815 \ub370\uc774\ud130\uc758 \ube44\uc728\uc744 \uc27d\uac8c \uc774\ud574\ud560 \uc218 \uc788\ub3c4\ub85d \ub3c4\uc640\uc90d\ub2c8\ub2e4.<br \/>\n            \uc608\ub97c \ub4e4\uc5b4, \uac01 \uc790\uc0b0\uc758 \ud22c\uc790 \ube44\uc728\uc744 \uc2dc\uac01\uc801\uc73c\ub85c \ud45c\uc2dc\ud558\ub294 \ub370 \uc801\ud569\ud569\ub2c8\ub2e4.\n        <\/p>\n<pre>\n<code>\nimport matplotlib.pyplot as plt\n\ndef plot_investment_distribution(investments):\n    labels = investments.keys()\n    sizes = investments.values()\n    explode = [0.1] * len(sizes)  # \uac01 \uc870\uac01\uc744 \uc57d\uac04 \ub744\uc6cc \ud45c\ud604\n\n    plt.figure(figsize=(8, 8))\n    plt.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',\n            shadow=True, startangle=140)\n    plt.axis('equal')  # \uc6d0\ud615\uc744 \uc720\uc9c0\ud558\uba70\n    plt.title('\ud22c\uc790 \ube44\uc728 \ube44\uc8fc\uc5bc')\n    plt.show()\n<\/code>\n        <\/pre>\n<h2>5. \uc608\uc2dc \ucf54\ub4dc: \uc644\uc804\ud55c \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c<\/h2>\n<p>\n            \ub2e4\uc74c\uc740 \uc55e\uc11c \uc124\uba85\ud55c \ubaa8\ub4e0 \ud568\uc218\ub97c \uc885\ud569\ud558\uc5ec \uc644\ubcbd\ud55c \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc758 \uae30\ubcf8 \ud2c0\uc744 \ubcf4\uc5ec\uc8fc\ub294 \uc608\uc2dc \ucf54\ub4dc\uc785\ub2c8\ub2e4.\n        <\/p>\n<pre>\n<code>\nimport requests\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n# \ub370\uc774\ud130 \uc218\uc9d1\ndef get_stock_data(symbol):\n    url = f'https:\/\/api.example.com\/v1\/stock\/{symbol}\/quote'\n    response = requests.get(url)\n    data = response.json()\n    return data\n\n# \uc2e0\ud638 \uc0dd\uc131\ndef moving_average(df, window):\n    return df['close'].rolling(window=window).mean()\n\ndef generate_signals(df):\n    df['short_mavg'] = moving_average(df, 20)\n    df['long_mavg'] = moving_average(df, 50)\n    df['signal'] = 0\n    df['signal'][20:] = np.where(df['short_mavg'][20:] &gt; df['long_mavg'][20:], 1, 0)\n    df['positions'] = df['signal'].diff()\n    return df\n\n# \ud22c\uc790 \ube44\uc728 \uc2dc\uac01\ud654\ndef plot_investment_distribution(investments):\n    labels = investments.keys()\n    sizes = investments.values()\n    explode = [0.1] * len(sizes)  # \uc870\uac01 \ub744\uc6b0\uae30\n    plt.figure(figsize=(8, 8))\n    plt.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',\n            shadow=True, startangle=140)\n    plt.axis('equal')  # \uc6d0\ud615 \uc720\uc9c0\n    plt.title('\ud22c\uc790 \ube44\uc728 \ube44\uc8fc\uc5bc')\n    plt.show()\n\n# \uba54\uc778 \ud568\uc218\ndef main():\n    symbol = 'AAPL'  # \uc608\uc2dc\ub85c \uc560\ud50c \uc8fc\uc2dd\n    stock_data = get_stock_data(symbol)\n    df = pd.DataFrame(stock_data)\n    \n    df = generate_signals(df)\n    \n    # \uac00\uc0c1\uc758 \ud22c\uc790 \ube44\uc728\n    investments = {\n        '\uc560\ud50c': 40,\n        '\uad6c\uae00': 30,\n        '\uc544\ub9c8\uc874': 30\n    }\n    \n    # \ud22c\uc790 \ube44\uc728 \uc2dc\uac01\ud654\n    plot_investment_distribution(investments)\n\nif __name__ == \"__main__\":\n    main()\n<\/code>\n        <\/pre>\n<h2>6. \ub370\uc774\ud130 \ubd84\uc11d\uc744 \ud1b5\ud55c \uc758\uc0ac\uacb0\uc815<\/h2>\n<p>\n            \uc704\uc758 \uc608\uc2dc \ucf54\ub4dc\ub294 \ud30c\uc774\uc36c\uc73c\ub85c \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\uae30 \uc704\ud55c \uae30\ucd08\uc801\uc778 \uc124\uc815\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc2e4\uc81c\ub85c\ub294 API\ub97c \ud1b5\ud574 \uc2e4\uc2dc\uac04 \ub370\uc774\ud130\ub97c \ubc1b\uace0, \uc774\ub97c \ubd84\uc11d\ud558\uc5ec \uc989\uac01\uc801\uc778 \uac70\ub798 \uacb0\uc815\uc744 \ub0b4\ub824\uc57c \ud569\ub2c8\ub2e4.<br \/>\n            \ucd94\uac00\uc801\uc73c\ub85c \uc7a5\uc560 \ucc98\ub9ac, \ub85c\uae45, \ubc31\ud14c\uc2a4\ud305 \ub4f1\uc758 \uae30\ub2a5\uc744 \ud1b5\ud574 \ub354\uc6b1 \uc644\uc804\ud55c \uc2dc\uc2a4\ud15c\uc744 \uc644\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n        <\/p>\n<h2>\uacb0\ub860<\/h2>\n<p>\n            \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ud30c\uc774\uc36c\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc744 \uac1c\ubc1c\ud558\ub294 \uacfc\uc815\uacfc matplotlib\ub97c \uc774\uc6a9\ud55c Pie \ucc28\ud2b8 \uc2dc\uac01\ud654 \uae30\ubc95\uc744 \ubc30\uc6cc\ubcf4\uc558\uc2b5\ub2c8\ub2e4.<br \/>\n            \uc774\ub7ec\ud55c \uacfc\uc815\uc744 \ud1b5\ud574 \ud22c\uc790 \ube44\uc728\uc744 \ud6a8\uacfc\uc801\uc73c\ub85c \uc2dc\uac01\ud654\ud558\uba70, \ub354 \ub098\uc544\uac00 \uc790\uc2e0\uc758 \ub9e4\ub9e4 \uc804\ub7b5\uc744 \uc2dc\uac01\uc801\uc73c\ub85c \uac80\ud1a0\ud560 \uc218 \uc788\ub294 \uae30\ud68c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<br \/>\n            \ub370\uc774\ud130\uc758 \uc2dc\uac01\ud654\ub294 \ub2e8\uc21c\ud55c \ucc28\ud2b8\ub97c \ub118\uc5b4 \ud1b5\ucc30\ub825\uc744 \uc81c\uacf5\ud558\uba70, \uc774\ub294 \uc131\uacf5\uc801\uc778 \ud22c\uc790 \uc804\ub7b5\uc758 \ud544\uc218 \uc694\uc18c\uc785\ub2c8\ub2e4.\n        <\/p>\n<p>\uac10\uc0ac\ud569\ub2c8\ub2e4. \uc9c8\ubb38\uc774\ub098 \uc758\uacac\uc774 \uc788\uc73c\uc2dc\uba74 \ub313\uae00\ub85c \ub0a8\uaca8\uc8fc\uc138\uc694!<\/p>\n<\/article>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc8fc\uc2dd, \uc678\ud658, \uc554\ud638\ud654\ud3d0 \ub4f1 \ub2e4\uc591\ud55c \uae08\uc735\uc790\uc0b0\uc744 \uc790\ub3d9\uc73c\ub85c \uac70\ub798\ud558\ub294 \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc758 \uac1c\ubc1c\uc5d0 \uc788\uc5b4 \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub294 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \uae08\uc735 \ub370\uc774\ud130\uc758 \ud328\ud134\uacfc \ud2b8\ub80c\ub4dc\ub97c \uc2dc\uac01\uc801\uc73c\ub85c \uc774\ud574\ud558\ub294 \uac83\uc740 \ud2b8\ub808\uc774\ub354\uc5d0\uac8c \ud070 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4. \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ud30c\uc774\uc36c\uc744 \uc774\uc6a9\ud558\uc5ec \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc744 \uac1c\ubc1c\ud558\uace0, matplotlib \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud574 \ud22c\uc790 \ube44\uc728\uc744 \uc2dc\uac01\uc801\uc73c\ub85c \ud45c\ud604\ud558\ub294 pie \ucc28\ud2b8\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \ubc30\uc6cc\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc758 \uc774\ud574 \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c(X)\uc740 \ud2b9\uc815\ud55c \uaddc\uce59\uc744 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/30791\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\ud30c\uc774\uc36c \uc790\ub3d9\ub9e4\ub9e4 \uac1c\ubc1c, matplotlib pie \ucc28\ud2b8 \uadf8\ub9ac\uae30&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[37],"tags":[],"class_list":["post-30791","post","type-post","status-publish","format-standard","hentry","category-37"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\ud30c\uc774\uc36c \uc790\ub3d9\ub9e4\ub9e4 \uac1c\ubc1c, matplotlib pie \ucc28\ud2b8 \uadf8\ub9ac\uae30 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/30791\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ud30c\uc774\uc36c \uc790\ub3d9\ub9e4\ub9e4 \uac1c\ubc1c, matplotlib pie \ucc28\ud2b8 \uadf8\ub9ac\uae30 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc8fc\uc2dd, \uc678\ud658, \uc554\ud638\ud654\ud3d0 \ub4f1 \ub2e4\uc591\ud55c \uae08\uc735\uc790\uc0b0\uc744 \uc790\ub3d9\uc73c\ub85c \uac70\ub798\ud558\ub294 \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc758 \uac1c\ubc1c\uc5d0 \uc788\uc5b4 \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub294 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \uae08\uc735 \ub370\uc774\ud130\uc758 \ud328\ud134\uacfc \ud2b8\ub80c\ub4dc\ub97c \uc2dc\uac01\uc801\uc73c\ub85c \uc774\ud574\ud558\ub294 \uac83\uc740 \ud2b8\ub808\uc774\ub354\uc5d0\uac8c \ud070 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4. \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ud30c\uc774\uc36c\uc744 \uc774\uc6a9\ud558\uc5ec \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc744 \uac1c\ubc1c\ud558\uace0, matplotlib 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