{"id":30787,"date":"2024-10-28T06:03:51","date_gmt":"2024-10-28T06:03:51","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=30787"},"modified":"2024-11-26T06:47:26","modified_gmt":"2024-11-26T06:47:26","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-figure%ec%99%80-subplots","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/30787\/","title":{"rendered":"\ud30c\uc774\uc36c \uc790\ub3d9\ub9e4\ub9e4 \uac1c\ubc1c, Figure\uc640 subplots"},"content":{"rendered":"

<\/p>\n

\ud30c\uc774\uc36c\uc740 \ub370\uc774\ud130 \ubd84\uc11d\uacfc \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c \uad6c\ud604\uc5d0 \ub9e4\uc6b0 \uc720\uc6a9\ud55c \uc5b8\uc5b4\uc785\ub2c8\ub2e4. \ud2b9\ud788, Matplotlib \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc774\uc6a9\ud55c \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub294 \uc2dc\uc7a5\uc758 \uc6c0\uc9c1\uc784\uc744 \uc774\ud574\ud558\uace0 \uac70\ub798 \uacb0\uc815\uc744 \ub0b4\ub9ac\ub294 \ub370 \ud070 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 Matplotlib\uc758 Figure\uc640 Subplots \uac1c\ub150\uc744 \ud1b5\ud574 \ud6a8\uacfc\uc801\uc778 \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub97c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 \uac04\ub2e8\ud55c \uc8fc\uc2dd \uac00\uaca9 \ub370\uc774\ud130 \uc608\uc81c\ub97c \ud1b5\ud574 \uc2e4\uc2b5\uc744 \uc9c4\ud589\ud560 \uac83\uc785\ub2c8\ub2e4.<\/p>\n

1. Matplotlib \ub77c\uc774\ube0c\ub7ec\ub9ac \uc18c\uac1c<\/h2>\n

Matplotlib\uc740 \ud30c\uc774\uc36c\uc5d0\uc11c \uac00\uc7a5 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ub370\uc774\ud130 \uc2dc\uac01\ud654 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc911 \ud558\ub098\ub85c, \ub2e4\uc591\ud55c \ud615\ud0dc\uc758 \uadf8\ub798\ud504\ub97c \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, Figure\uc640 Subplots\ub97c \ud65c\uc6a9\ud558\uba74 \uc5ec\ub7ec \uadf8\ub798\ud504\ub97c \ud55c \ud654\uba74\uc5d0 \ubc30\uce58\ud558\uc5ec \ube44\uad50\ud558\ub294 \uc2dc\uac01\ud654\ub97c \uc190\uc27d\uac8c \uad6c\ud604\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

2. Figure \uac1c\ub150 \uc774\ud574\ud558\uae30<\/h2>\n

Figure\ub294 Matplotlib\uc758 \ucd5c\uc0c1\uc704 \uac1d\uccb4\ub85c, \ud558\ub098 \ub610\ub294 \uc5ec\ub7ec \uac1c\uc758 subplot\uc744 \ud3ec\ud568\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. Figure\ub294 \uc804\uccb4 \uadf8\ub798\ud504\uc758 \ud06c\uae30 \ubc0f \uc694\uc18c\ub97c \uc124\uc815\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uae30\ubcf8\uc801\uc73c\ub85c Matplotlib\uc744 \uc0ac\uc6a9\ud558\uc5ec \uadf8\ub798\ud504\ub97c \uadf8\ub9ac\uae30 \uc704\ud574\uc11c\ub294 \uba3c\uc800 Figure\ub97c \uc0dd\uc131\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n

3. Subplots \uac1c\ub150 \uc774\ud574\ud558\uae30<\/h2>\n

Subplots\ub294 \ud558\ub098\uc758 Figure \ub0b4\uc5d0 \uc5ec\ub7ec \uac1c\uc758 \uac1c\ubcc4\uc801\uc778 \uadf8\ub798\ud504\ub97c \ubc30\uce58\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. Subplot \uae30\ub2a5\uc744 \ud65c\uc6a9\ud558\uba74 \uc5ec\ub7ec \ub370\uc774\ud130\ub97c \ud55c\ub208\uc5d0 \ube44\uad50\ud560 \uc218 \uc788\uc5b4 \ub9e4\uc6b0 \uc720\uc6a9\ud569\ub2c8\ub2e4. \uc544\ub798\ub294 Subplots\ub97c \uc124\uc815\ud558\ub294 \uae30\ubcf8\uc801\uc778 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/p>\n

3.1 Subplot \uc0dd\uc131 \ubc29\ubc95<\/h3>\n

Subplot\uc744 \ub9cc\ub4e4\uae30 \uc704\ud574\uc11c\ub294 plt.subplots()<\/code> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc6d0\ud558\ub294 \ud589(row)\uacfc \uc5f4(column)\uc758 \uc218\ub97c \uc9c0\uc815\ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uae30\ubcf8\uc801\uc778 \uc0ac\uc6a9 \uc608\uc81c\uc785\ub2c8\ub2e4:<\/p>\n

python\nimport matplotlib.pyplot as plt\n\n# Subplots \uc0dd\uc131\nfig, axs = plt.subplots(2, 2)  # 2x2 \ud615\ud0dc\uc758 subplot \uc0dd\uc131\n\n# \uac01 subplot\uc5d0 \uc608\uc2dc \ub370\uc774\ud130 \ucd94\uac00\naxs[0, 0].plot([1, 2, 3], [1, 4, 9])\naxs[0, 0].set_title('\uccab \ubc88\uc9f8 \uadf8\ub798\ud504')\n\naxs[0, 1].plot([1, 2, 3], [1, 2, 1])\naxs[0, 1].set_title('\ub450 \ubc88\uc9f8 \uadf8\ub798\ud504')\n\naxs[1, 0].plot([1, 2, 3], [1, 0, 1])\naxs[1, 0].set_title('\uc138 \ubc88\uc9f8 \uadf8\ub798\ud504')\n\naxs[1, 1].plot([1, 2, 3], [2, 2, 2])\naxs[1, 1].set_title('\ub124 \ubc88\uc9f8 \uadf8\ub798\ud504')\n\n# Layout \uc870\uc815\nplt.tight_layout()\nplt.show()\n<\/code><\/pre>\n
4. \uc8fc\uc2dd \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c \uad6c\ucd95 \uc608\uc81c<\/h2>\n
\uc774\ubc88 \uc139\uc158\uc5d0\uc11c\ub294 \uac04\ub2e8\ud55c \uc8fc\uc2dd \ub370\uc774\ud130\ub97c \uac00\uc838\uc640\uc11c \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc758 \uae30\ubc18\uc774 \ub418\ub294 \uc2dc\uac01\ud654\ub97c \uc9c4\ud589\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. Yahoo Finance API\ub97c \ud1b5\ud574 \ub370\uc774\ud130\ub97c \uac00\uc838\uc624\uace0, Matplotlib\uc744 \uc774\uc6a9\ud574 \uac00\uaca9 \ucd94\uc138\ub97c \uc2dc\uac01\ud654\ud569\ub2c8\ub2e4.<\/p>\n
4.1 \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58 \ubc0f \ub370\uc774\ud130 \uc218\uc9d1<\/h3>\n
\ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uae30 \uc704\ud574 yfinance<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud560 \uac83\uc785\ub2c8\ub2e4. \ub2e4\uc74c\uacfc \uac19\uc774 Python \ud658\uacbd\uc5d0\uc11c \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud558\uc138\uc694:<\/p>\n
bash\npip install yfinance matplotlib\n<\/code><\/pre>\n
4.2 \ub370\uc774\ud130 \uc218\uc9d1 \ucf54\ub4dc \uc608\uc81c<\/h3>\n
\uc544\ub798\ub294 Apple Inc.\uc758 \uc8fc\uc2dd \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uc5ec \uc2dc\uac01\ud654\ud558\ub294 \ucf54\ub4dc \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n
python\nimport yfinance as yf\nimport matplotlib.pyplot as plt\nimport pandas as pd\n\n# \ub370\uc774\ud130 \uac00\uc838\uc624\uae30\nstock = yf.Ticker(\"AAPL\")\ndata = stock.history(period=\"1y\")  # 1\ub144\uac04\uc758 \ub370\uc774\ud130 \uac00\uc838\uc624\uae30\n\n# \ub370\uc774\ud130 \uc2dc\uac01\ud654\nfig, axs = plt.subplots(2, 1, figsize=(10, 10))  # 2x1 subplot\n\n# \uc885\uac00 \uadf8\ub798\ud504\ndata['Close'].plot(ax=axs[0])\naxs[0].set_title('AAPL \uc885\uac00')\naxs[0].set_ylabel('\uac00\uaca9')\n\n# \uac70\ub798\ub7c9 \uadf8\ub798\ud504\ndata['Volume'].plot(ax=axs[1])\naxs[1].set_title('AAPL \uac70\ub798\ub7c9')\naxs[1].set_ylabel('\uac70\ub798\ub7c9')\n\nplt.tight_layout()\nplt.show()\n<\/code><\/pre>\n
5. Technical Indicator \ucd94\uac00\ud558\uae30<\/h2>\n
\uc774\uc81c \uac04\ub2e8\ud55c \uae30\uc220\uc801 \uc9c0\ud45c\uc778 \uc774\ub3d9 \ud3c9\uade0(Moving Average)\uc744 \ucd94\uac00\ud558\uc5ec \uadf8\ub798\ud504\ub97c \ub354\uc6b1 \uc720\uc6a9\ud558\uac8c \ub9cc\ub4e4\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774\ub3d9 \ud3c9\uade0\uc740 \uc8fc\uac00\uc758 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud574 \uc8fc\uac00\uc758 \ucd94\uc138\ub97c \ud30c\uc545\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4.<\/p>\n
5.1 \uc774\ub3d9 \ud3c9\uade0 \ucd94\uac00 \ucf54\ub4dc \uc608\uc81c<\/h3>\n
\uc544\ub798 \ucf54\ub4dc\ub294 \uc8fc\uac00 \ub370\uc774\ud130\uc5d0 \ub300\ud55c 20\uc77c \ubc0f 50\uc77c \uc774\ub3d9 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\uc5ec \uadf8\ub798\ud504\uc5d0 \ucd94\uac00\ud558\ub294 \uc608\uc81c\uc785\ub2c8\ub2e4.<\/p>\n
python\n# \uc774\ub3d9 \ud3c9\uade0 \uacc4\uc0b0\ndata['MA20'] = data['Close'].rolling(window=20).mean()\ndata['MA50'] = data['Close'].rolling(window=50).mean()\n\n# \uc2dc\uac01\ud654\nfig, axs = plt.subplots(2, 1, figsize=(10, 10))\n\n# \uc885\uac00 \ubc0f \uc774\ub3d9 \ud3c9\uade0\naxs[0].plot(data['Close'], label='\uc885\uac00', color='blue')\naxs[0].plot(data['MA20'], label='20\uc77c \uc774\ub3d9 \ud3c9\uade0', color='orange')\naxs[0].plot(data['MA50'], label='50\uc77c \uc774\ub3d9 \ud3c9\uade0', color='green')\naxs[0].set_title('AAPL \uc885\uac00\uc640 \uc774\ub3d9 \ud3c9\uade0')\naxs[0].set_ylabel('\uac00\uaca9')\naxs[0].legend()\n\n# \uac70\ub798\ub7c9 \uadf8\ub798\ud504\ndata['Volume'].plot(ax=axs[1])\naxs[1].set_title('AAPL \uac70\ub798\ub7c9')\naxs[1].set_ylabel('\uac70\ub798\ub7c9')\n\nplt.tight_layout()\nplt.show()\n<\/code><\/pre>\n
6. \uacb0\ub860<\/h2>\n
\uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ud30c\uc774\uc36c\uc758 Matplotlib \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc5d0 \ud544\uc694\ud55c \uae30\ubc18 \uc2dc\uac01\ud654\ub97c \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud588\uc2b5\ub2c8\ub2e4. Figure\uc640 Subplots\uc758 \uac1c\ub150\uc744 \ud1b5\ud574 \uc5ec\ub7ec \ub370\uc774\ud130\ub97c \ub3d9\uc2dc\uc5d0 \uc2dc\uac01\ud654\ud558\uace0, \uac04\ub2e8\ud55c \uc774\ub3d9 \ud3c9\uade0\uc744 \ucd94\uac00\ud558\uc5ec \ubd84\uc11d \uacb0\uacfc\ub97c \ub354\uc6b1 \ud48d\ubd80\ud558\uac8c \ub9cc\ub4e4 \uc218 \uc788\uc5c8\uc2b5\ub2c8\ub2e4. \uc2e4\uc81c \uc790\ub3d9\ub9e4\ub9e4 \uc54c\uace0\ub9ac\uc998\uc5d0 \uc774 \uc2dc\uac01\ud654\ub97c \ud1b5\ud569\ud558\uba74 \ub354 \ub098\uc740 \uac70\ub798 \uacb0\uc815\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc744 \uac83\uc785\ub2c8\ub2e4.<\/p>\n
\ucd94\uac00\uc801\uc73c\ub85c, \uc2e4\uc81c \uc2dc\uc7a5 \ub370\uc774\ud130\ub97c \ud1b5\ud55c \uc2e4\uc2b5\uacfc \ub2e4\uc591\ud55c \uae30\uc220\uc801 \uc9c0\ud45c \uc801\uc6a9\uc744 \ud1b5\ud574 \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc744 \ub354\uc6b1 \ubc1c\uc804\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc9c0\uc18d\uc801\uc73c\ub85c \ud30c\uc774\uc36c\uc744 \ud65c\uc6a9\ud55c \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub098 \uc54c\uace0\ub9ac\uc998 \ub9e4\ub9e4\uc5d0 \ub300\ud55c \ud559\uc2b5\uc744 \uc774\uc5b4\uac00\uae38 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\ud30c\uc774\uc36c\uc740 \ub370\uc774\ud130 \ubd84\uc11d\uacfc \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c \uad6c\ud604\uc5d0 \ub9e4\uc6b0 \uc720\uc6a9\ud55c \uc5b8\uc5b4\uc785\ub2c8\ub2e4. \ud2b9\ud788, Matplotlib \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc774\uc6a9\ud55c \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub294 \uc2dc\uc7a5\uc758 \uc6c0\uc9c1\uc784\uc744 \uc774\ud574\ud558\uace0 \uac70\ub798 \uacb0\uc815\uc744 \ub0b4\ub9ac\ub294 \ub370 \ud070 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 Matplotlib\uc758 Figure\uc640 Subplots \uac1c\ub150\uc744 \ud1b5\ud574 \ud6a8\uacfc\uc801\uc778 \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub97c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 \uac04\ub2e8\ud55c \uc8fc\uc2dd \uac00\uaca9 \ub370\uc774\ud130 \uc608\uc81c\ub97c \ud1b5\ud574 \uc2e4\uc2b5\uc744 \uc9c4\ud589\ud560 \uac83\uc785\ub2c8\ub2e4. 1. Matplotlib \ub77c\uc774\ube0c\ub7ec\ub9ac \uc18c\uac1c Matplotlib\uc740 \ud30c\uc774\uc36c\uc5d0\uc11c … \ub354 \ubcf4\uae30 “\ud30c\uc774\uc36c \uc790\ub3d9\ub9e4\ub9e4 \uac1c\ubc1c, Figure\uc640 subplots”<\/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-30787","post","type-post","status-publish","format-standard","hentry","category-37"],"yoast_head":"\n\ud30c\uc774\uc36c \uc790\ub3d9\ub9e4\ub9e4 \uac1c\ubc1c, Figure\uc640 subplots - \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\/30787\/\" \/>\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, Figure\uc640 subplots - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ud30c\uc774\uc36c\uc740 \ub370\uc774\ud130 \ubd84\uc11d\uacfc \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c \uad6c\ud604\uc5d0 \ub9e4\uc6b0 \uc720\uc6a9\ud55c \uc5b8\uc5b4\uc785\ub2c8\ub2e4. \ud2b9\ud788, Matplotlib \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc774\uc6a9\ud55c \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub294 \uc2dc\uc7a5\uc758 \uc6c0\uc9c1\uc784\uc744 \uc774\ud574\ud558\uace0 \uac70\ub798 \uacb0\uc815\uc744 \ub0b4\ub9ac\ub294 \ub370 \ud070 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 Matplotlib\uc758 Figure\uc640 Subplots \uac1c\ub150\uc744 \ud1b5\ud574 \ud6a8\uacfc\uc801\uc778 \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub97c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc744 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 \uac04\ub2e8\ud55c \uc8fc\uc2dd \uac00\uaca9 \ub370\uc774\ud130 \uc608\uc81c\ub97c \ud1b5\ud574 \uc2e4\uc2b5\uc744 \uc9c4\ud589\ud560 \uac83\uc785\ub2c8\ub2e4. 1. 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