\n Python\uc740 \ub370\uc774\ud130 \uacfc\ud559 \ubc0f \uc790\ub3d9\ud654\uc758 \uc138\uacc4\uc5d0\uc11c \uac15\ub825\ud55c \ub3c4\uad6c \uc911 \ud558\ub098\ub85c \uc790\ub9ac\ub9e4\uae40\ud558\uc600\uc2b5\ub2c8\ub2e4.
\n \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c\uc758 \uc790\ub3d9 \ub9e4\ub9e4 \uc2dc\uc2a4\ud15c \uad6c\ucd95\uc740 \ub9ce\uc740 \ud2b8\ub808\uc774\ub354\ub4e4\uc5d0\uac8c \ub9e4\ub825\uc801\uc778 \uacfc\uc81c\uac00 \ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4.
\n \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \uc790\ub3d9 \ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc5d0\uc11c \ub370\uc774\ud130\ub97c \uc2dc\uac01\ud654\ud558\ub294 \ub370 \uc911\uc694\ud55c \uc694\uc18c\uc778 Matplotlib\uc758 Bar \ucc28\ud2b8 \uadf8\ub9ac\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574
\n \uc0c1\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\n Matplotlib\ub294 Python\uc758 \ub370\uc774\ud130 \uc2dc\uac01\ud654 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c, \ub2e4\uc591\ud55c \uc885\ub958\uc758 \ucc28\ud2b8\ub97c \uadf8\ub9b4 \uc218 \uc788\ub294 \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.
\n \ud2b9\ud788 Bar \ucc28\ud2b8\ub294 \ub370\uc774\ud130\uc758 \ube44\uad50\ub97c \uc2dc\uac01\uc801\uc73c\ub85c \ub3d5\ub294 \ub370 \uc720\uc6a9\ud558\uba70,
\n \uae08\uc735 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\ub294 \ub370 \uc788\uc5b4 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4.\n <\/p>\n
\n Matplotlib\ub294 pip\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac04\ub2e8\ud788 \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.
\n \uc544\ub798\uc758 \uba85\ub839\uc5b4\ub97c \uc2e4\ud589\ud558\uc5ec Matplotlib\ub97c \uc124\uce58\ud574 \ubcf4\uc138\uc694.\n <\/p>\n
pip install matplotlib<\/code><\/pre>\n2. Bar \ucc28\ud2b8\uc758 \uac1c\uc694<\/h2>\n
\n Bar \ucc28\ud2b8\ub294 \uac01 \uce74\ud14c\uace0\ub9ac\uc758 \uac12\uc744 \uc0ac\uac01\ud615\uc758 \ub192\uc774\ub85c \ub098\ud0c0\ub0b8 \uadf8\ub798\ud504\uc785\ub2c8\ub2e4.
\n \uc774\ub294 \ub2e8\uc21c\ud558\uba74\uc11c\ub3c4 \uac15\ub825\ud558\uac8c \ub370\uc774\ud130\ub97c \ube44\uad50\ud560 \uc218 \uc788\ub294 \uc7a5\uc810\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4.
\n \uc608\ub97c \ub4e4\uc5b4, \ud2b9\uc815 \uc8fc\uc2dd\uc758 \uc6d4\ubcc4 \uc218\uc775\ub960\uc744 Bar \ucc28\ud2b8\ub85c \ub098\ud0c0\ub0b4\uba74 \uac01 \uc6d4\uc758 \uc131\uacfc\ub97c \ud55c\ub208\uc5d0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
3. Bar \ucc28\ud2b8\ub97c \uc774\uc6a9\ud55c \uc790\ub3d9\ub9e4\ub9e4 \ub370\uc774\ud130 \uc2dc\uac01\ud654 \uc2e4\uc2b5<\/h2>\n
\n \uc774\uc81c \uc2e4\uc81c \uc608\uc81c\ub97c \ud1b5\ud574 Bar \ucc28\ud2b8\ub97c \uadf8\ub824\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.
\n \uc6b0\ub9ac\ub294 \uac00\uc0c1\uc758 \uc8fc\uc2dd \ub370\uc774\ud130\ub97c \uc774\uc6a9\ud558\uc5ec \ub9e4\ub9e4 \uc131\uacfc\ub97c \uc2dc\uac01\ud654\ud560 \uac83\uc785\ub2c8\ub2e4.
\n \uba3c\uc800 \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc784\ud3ec\ud2b8\ud558\uace0 \ub370\uc774\ud130\ub97c \uc0dd\uc131\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n
3.1 \ub370\uc774\ud130 \uc0dd\uc131\ud558\uae30<\/h3>\n\nimport matplotlib.pyplot as plt\nimport numpy as np\n\n# \uac00\uc0c1\uc758 \ub370\uc774\ud130 \uc0dd\uc131\ncategories = ['1\uc6d4', '2\uc6d4', '3\uc6d4', '4\uc6d4', '5\uc6d4']\nprofits = [100, 200, -150, 300, 250]\n\n# Bar \ucc28\ud2b8 \uadf8\ub9ac\uae30\ndef plot_bar_chart(categories, profits):\n plt.bar(categories, profits, color='blue')\n plt.title('\uc6d4\ubcc4 \uc218\uc775\ub960')\n plt.xlabel('\uc6d4')\n plt.ylabel('\uc218\uc775\ub960')\n plt.grid(axis='y')\n plt.axhline(0, color='black', lw=1)\n plt.show()\n\n# \ucc28\ud2b8 \uadf8\ub9ac\uae30 \ud568\uc218 \ud638\ucd9c\nplot_bar_chart(categories, profits)\n<\/code><\/pre>\n3.2 \ucf54\ub4dc \uc124\uba85<\/h3>\n
\n \uc704 \ucf54\ub4dc\ub294 \uac04\ub2e8\ud55c Bar \ucc28\ud2b8\ub97c \uc0dd\uc131\ud558\ub294 \ud504\ub85c\uc138\uc2a4\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.
\n \uc5ec\uae30\uc5d0\uc11c `plot_bar_chart` \ud568\uc218\ub294 \uc785\ub825\ub41c \uce74\ud14c\uace0\ub9ac\uc640 \uc218\uc775\ub960 \ub370\uc774\ud130\ub97c \uae30\ubc18\uc73c\ub85c Bar \ucc28\ud2b8\ub97c \uadf8\ub9ac\ub294 \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4.\n <\/p>\n
\n- Bar \ucc28\ud2b8 \uc0dd\uc131:<\/strong> `plt.bar()` \ud568\uc218\ub85c \ucc28\ud2b8\ub97c \uc0dd\uc131\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
- \uc81c\ubaa9 \ubc0f \ub77c\ubca8 \uc124\uc815:<\/strong> `plt.title()`, `plt.xlabel()`, `plt.ylabel()` \ub85c \ucc28\ud2b8 \uc81c\ubaa9\uacfc \ucd95 \ub77c\ubca8\uc744 \uc124\uc815\ud569\ub2c8\ub2e4.<\/li>\n
- \uadf8\ub9ac\ub4dc \ucd94\uac00:<\/strong> `plt.grid(axis=’y’)`\ub97c \uc0ac\uc6a9\ud558\uc5ec Y\ucd95\uc5d0\ub9cc \uadf8\ub9ac\ub4dc \ub77c\uc778\uc744 \ucd94\uac00\ud569\ub2c8\ub2e4.<\/li>\n
- \uae30\uc900\uc120 \ucd94\uac00:<\/strong> `plt.axhline(0, color=’black’, lw=1)`\ub97c \ud1b5\ud574 Y\ucd95\uc758 0\uc5d0 \uae30\uc900\uc120\uc774 \ucd94\uac00\ub429\ub2c8\ub2e4.<\/li>\n<\/ul>\n
4. \uc2e4\uc81c \ub370\uc774\ud130 \uc0ac\uc6a9\ud558\uae30<\/h2>\n
\n \uc6b0\ub9ac \uc2e4\uc2b5\uc5d0\uc11c \uac00\uc0c1\uc758 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud588\uc9c0\ub9cc, \uc2e4\uc81c \uae08\uc735 \ub370\uc774\ud130\ub85c \ub354 \uc720\uc758\ubbf8\ud55c \ucc28\ud2b8\ub97c \uadf8\ub824\ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.
\n Yahoo Finance API\ub098 Alpha Vantage API\uc640 \uac19\uc740 \uae08\uc735 \ub370\uc774\ud130\ub97c \uc81c\uacf5\ud558\ub294 API\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.
\n \uc774 \uc608\uc81c\uc5d0\uc11c\ub294 pandas\uc640 yfinance \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc2e4\uc81c \uc8fc\uc2dd \ub370\uc774\ud130\ub97c \uac00\uc838\uc640 Bar \ucc28\ud2b8\ub97c \uadf8\ub824\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n
4.1 yfinance\ub85c \ub370\uc774\ud130 \uac00\uc838\uc624\uae30<\/h3>\n\nimport yfinance as yf\nimport pandas as pd\n\n# \uc885\ubaa9 \ub370\uc774\ud130 \ub2e4\uc6b4\ub85c\ub4dc\nticker = 'AAPL'\ndata = yf.download(ticker, period='1y', interval='1mo')\ndata['Monthly Change'] = data['Close'].diff()\ndata = data[data['Monthly Change'].notnull()]\n\n# \ub370\uc774\ud130 \ucc98\ub9ac\nmonths = data.index.strftime('%Y-%m').tolist()\nprofits = data['Monthly Change'].tolist()\n\n# \uc2e4\uc81c \ub370\uc774\ud130\ub85c \ubc14 \ucc28\ud2b8 \uadf8\ub9ac\uae30\nplot_bar_chart(months, profits)\n<\/code><\/pre>\n4.2 \ucf54\ub4dc \uc124\uba85<\/h3>\n
\n \uc704 \ucf54\ub4dc\ub294 yfinance \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud1b5\ud574 Apple Inc.(AAPL)\uc758 \uc9c0\ub09c 1\ub144\uac04\uc758 \uc6d4\ubcc4 \uc8fc\uac00 \ub370\uc774\ud130\ub97c \ub2e4\uc6b4\ub85c\ub4dc\ud558\uace0, \uc218\uc775\ub960\uc744 \uacc4\uc0b0\ud558\uc5ec Bar \ucc28\ud2b8\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.\n <\/p>\n
\n- \ub370\uc774\ud130 \ub2e4\uc6b4\ub85c\ub4dc:<\/strong> `yf.download()`\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc885\ubaa9\uc758 \ub370\uc774\ud130\ub97c \ub2e4\uc6b4\ub85c\ub4dc\ud569\ub2c8\ub2e4.<\/li>\n
- \uc218\uc775\ub960 \uacc4\uc0b0:<\/strong> `data[‘Close’].diff()`\ub97c \ud638\ucd9c\ud558\uc5ec \uc6d4\uac04 \uc218\uc775\ub960\uc744 \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/li>\n
- Bar \ucc28\ud2b8 \uadf8\ub9ac\uae30:<\/strong> \ub9c8\uc9c0\ub9c9\uc5d0 `plot_bar_chart()` \ud568\uc218\ub97c \ud1b5\ud574 Bar \ucc28\ud2b8\ub97c \uadf8\ub9bd\ub2c8\ub2e4.<\/li>\n<\/ul>\n
5. Bar \ucc28\ud2b8 \ucee4\uc2a4\ud130\ub9c8\uc774\uc9d5<\/h2>\n
\n Matplotlib\ub294 \ucc28\ud2b8\ub97c \ub354 \uc544\ub984\ub2f5\uace0 \uc720\uc6a9\ud558\uac8c \ub9cc\ub4e4\uae30 \uc704\ud574 \ub2e4\uc591\ud55c \ucee4\uc2a4\ud130\ub9c8\uc774\uc9d5 \uc635\uc158\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.
\n \uc544\ub798\ub294 Bar \ucc28\ud2b8\ub97c \ucee4\uc2a4\ud130\ub9c8\uc774\uc9d5\ud558\ub294 \uba87 \uac00\uc9c0 \ubc29\ubc95\uc785\ub2c8\ub2e4.\n <\/p>\n
5.1 \uc0c9\uc0c1 \ubcc0\uacbd \ubc0f \uc2a4\ud0c0\uc77c \uc801\uc6a9<\/h3>\n\ndef plot_custom_bar_chart(categories, profits):\n plt.bar(categories, profits, color='skyblue', edgecolor='darkblue')\n plt.title('\uc6d4\ubcc4 \uc218\uc775\ub960', fontsize=16)\n plt.xlabel('\uac1c\uc6d4', fontsize=12)\n plt.ylabel('\uc218\uc775\ub960(\uc6d0)', fontsize=12)\n plt.xticks(rotation=45)\n plt.grid(axis='y', linestyle='--')\n plt.axhline(0, color='red', lw=1)\n plt.tight_layout()\n plt.show()\n\nplot_custom_bar_chart(months, profits)\n<\/code><\/pre>\n5.2 \ucf54\ub4dc \uc124\uba85<\/h3>\n
\n `plot_custom_bar_chart` \ud568\uc218\ub294 \ubc14 \ucc28\ud2b8\uc758 \uc0c9\uc0c1, \uae00\uaf34 \ud06c\uae30, \ucd95 \ub808\uc774\ube14 \ud68c\uc804 \ub4f1\uc744 \uc870\uc815\ud558\uc5ec \ucc28\ud2b8\ub97c \ub354 \ubcf4\uae30 \uc88b\uac8c \ub9cc\ub4ed\ub2c8\ub2e4.\n <\/p>\n
\n- \uc0c9\uc0c1 \ubc0f \ud14c\ub450\ub9ac:<\/strong> `color`\uc640 `edgecolor`\ub97c \uc0ac\uc6a9\ud574 \ubc14\uc758 \uc0c9\uc0c1\uacfc \ud14c\ub450\ub9ac \uc0c9\uc0c1\uc744 \uc9c0\uc815\ud569\ub2c8\ub2e4.<\/li>\n
- \ud0c0\uc774\ud2c0 \ubc0f \ub808\uc774\ube14 \ud3f0\ud2b8 \ud06c\uae30:<\/strong> `fontsize`\ub97c \uc0ac\uc6a9\ud574 \ucc28\ud2b8\uc758 \uc81c\ubaa9\uacfc \ub808\uc774\ube14\uc758 \ud3f0\ud2b8 \ud06c\uae30\ub97c \uc870\uc815\ud569\ub2c8\ub2e4.<\/li>\n
- \ucd95 \ub808\uc774\ube14 \ud68c\uc804:<\/strong> `plt.xticks(rotation=45)`\ub85c X\ucd95 \ub808\uc774\ube14\uc744 45\ub3c4\ub85c \ud68c\uc804\uc2dc\ucf1c \uac00\ub3c5\uc131\uc744 \ub192\uc785\ub2c8\ub2e4.<\/li>\n
- \uc120 \uc2a4\ud0c0\uc77c \ubcc0\uacbd:<\/strong> `plt.grid(axis=’y’, linestyle=’–‘)`\ub85c \uadf8\ub9ac\ub4dc \uc120\uc758 \uc2a4\ud0c0\uc77c\uc744 \ubcc0\uacbd\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
6. \uacb0\ub860<\/h2>\n
\n Matplotlib\ub97c \uc0ac\uc6a9\ud558\uc5ec Bar \ucc28\ud2b8\ub97c \uadf8\ub9ac\ub294 \uac83\uc740 \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc5d0\uc11c \ud6a8\uacfc\uc801\uc778 \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub97c \uc774\ub8e8\ub294 \ub370 \ub9e4\uc6b0 \uc720\uc6a9\ud569\ub2c8\ub2e4.
\n \uc774\ubc88 \uac15\uc88c\ub97c \ud1b5\ud574 \uae30\ubcf8\uc801\uc778 Bar \ucc28\ud2b8 \uc0dd\uc131 \ubfd0\ub9cc \uc544\ub2c8\ub77c \uc2e4\uc81c \ub370\uc774\ud130\ub85c \ud604\uc2e4\uc801\uc778 \ucc28\ud2b8\ub97c \uadf8\ub9ac\uace0,
\n \ub2e4\uc591\ud55c \uc2a4\ud0c0\uc77c \uc635\uc158\uc744 \ud1b5\ud574 \uc0ac\uc6a9\uc790 \ub9de\ucda4\ud615 \uc2dc\uac01\ud654\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubc30\uc6e0\uc2b5\ub2c8\ub2e4.
\n \uc774\ub7ec\ud55c Skills\ub294 \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc744 \uc2dc\uac01\uc801\uc73c\ub85c \ubd84\uc11d\ud558\uace0 \uac1c\uc120\ud558\ub294 \ub370 \ud070 \ub3c4\uc6c0\uc774 \ub420 \uac83\uc785\ub2c8\ub2e4.\n <\/p>\n
6.1 \ucd94\uac00 \ud559\uc2b5 \uc790\ub8cc<\/h3>\n\n- Matplotlib \uacf5\uc2dd \ud29c\ud1a0\ub9ac\uc5bc<\/a><\/li>\n
- Pandas \uacf5\uc2dd \ubb38\uc11c<\/a><\/li>\n
- yfinance \ub77c\uc774\ube0c\ub7ec\ub9ac<\/a><\/li>\n<\/ul>\n
\ucc38\uace0 \ubb38\ud5cc<\/h2>\n
\n – Python for Data Analysis, Wes McKinney
\n – Python Data Science Handbook, Jake VanderPlas\n <\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"