{"id":18,"date":"2022-03-18T13:57:29","date_gmt":"2022-03-18T04:57:29","guid":{"rendered":"http:\/\/web.is-ai.jp\/?p=18"},"modified":"2022-03-18T13:57:31","modified_gmt":"2022-03-18T04:57:31","slug":"%e3%80%90python%e3%80%91pandas%e3%81%ae%e3%82%b0%e3%83%a9%e3%83%95%e3%82%92%e8%a4%87%e6%95%b0%e3%81%be%e3%81%a8%e3%82%81%e3%81%a6%e7%94%bb%e5%83%8f%e5%8c%96%e3%81%99%e3%82%8b","status":"publish","type":"post","link":"https:\/\/is-ai.jp\/?p=18","title":{"rendered":"\u3010python\u3011pandas\u306e\u30b0\u30e9\u30d5\u3092\u8907\u6570\u307e\u3068\u3081\u3066\u753b\u50cf\u5316\u3059\u308b"},"content":{"rendered":"\n

pandas\u3067\u63cf\u753b\u3057\u305f\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092numpy\u306b\u5909\u63db\u3057\u3066\u3001\u753b\u50cf\u3068\u3057\u3066\u51fa\u529b\u3059\u308b<\/h4>\n\n\n\n

\u306f\u3058\u3081\u306b<\/h2>\n\n\n\n

pandas\u3067\u96c6\u8a08\u3057\u305f\u30c7\u30fc\u30bf\u3092\u30b0\u30e9\u30d5\u5316\u3057\u3066\u3001\u8907\u6570\u500b\u307e\u3068\u3081\u3066\u4e00\u3064\u306e\u30b0\u30e9\u30d5\u306b\u3057\u305f\u3044\u3068\u3044\u3046\u72b6\u6cc1\u304c\u3042\u3063\u305f\u306e\u3067\u3059\u304c\u3001\u691c\u7d22\u3057\u3066\u3082\u3042\u307e\u308a\u8a72\u5f53\u3059\u308b\u8a18\u4e8b\u304c\u898b\u5f53\u305f\u3089\u306a\u304b\u3063\u305f\u306e\u3067\u3001\u6539\u3081\u3066\u6b8b\u3057\u3066\u304a\u304f\u3053\u3068\u306b\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

\u5b9f\u969b\u306b\u306f\u4ee5\u4e0b\u306e\u30ea\u30f3\u30af\u3067\u4f7f\u3063\u3066\u3044\u308b\u306e\u3067\u3088\u3051\u308c\u3070\u8997\u3044\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n

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\u5b9f\u88c5<\/h2>\n\n\n\n

pandas\u306e\u30c7\u30fc\u30bf\u3092\u53ef\u8996\u5316\u3059\u308b<\/h4>\n\n\n\n

\u4f8b\u3068\u3057\u3066\u3001Iris\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u304c\u304f\u7247\u306e\u9577\u3055<\/strong>\u306e\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

import pandas as pd\nfrom sklearn import datasets\n\n#iris\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u30ed\u30fc\u30c9\niris = datasets.load_iris()\ndf = pd.DataFrame(iris.data, columns=iris.feature_names)\ndf['target'] = iris.target_names[iris.target]\ndf['sepal length (cm)'].hist()<\/code><\/pre><\/div>\n\n\n\n
\"\"\/<\/figure>\n\n\n\n
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\u53ef\u8996\u5316\u3057\u305f\u30b0\u30e9\u30d5\u3092numpy\u5f62\u5f0f\u306b\u5909\u63db\u3059\u308b<\/h4>\n\n\n\n
\u53ef\u8996\u5316\u3057\u305f\u30b0\u30e9\u30d5\u3092cv2\u3067\u6271\u3048\u308b\u3088\u3046\u306bnumpy\u306e\u5f62\u5f0f\u306b\u5909\u63db\u3057\u3066\u3044\u304d\u307e\u3059\u3002\u30b0\u30e9\u30d5\u3092\u63cf\u753b<\/strong>\u3068\u30b3\u30e1\u30f3\u30c8\u30a2\u30a6\u30c8\u3057\u3066\u3044\u308b\u90e8\u5206\u4ee5\u4e0b\u306b\u30b0\u30e9\u30d5\u306e\u63cf\u753b\u3092\u884c\u3046\u3053\u3068\u3067\u3001matplotlib\u3084seaborn\u7b49\u3067\u3082numpy\u5316\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
from matplotlib import pyplot as plt\nimport numpy as np\nimport cv2\n\nfig, ax = plt.subplots()\n\n# \u30b0\u30e9\u30d5\u3092\u63cf\u753b\ndf['sepal length (cm)'].hist(edgecolor="k",)\nplt.grid(True)\n\nfig.canvas.draw()\nim = np.array(fig.canvas.renderer.buffer_rgba())\nim = cv2.cvtColor(im, cv2.COLOR_RGBA2BGR)\ncv2.imshow("img", img)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre><\/div>\n\n\n\n
<\/p>\n\n\n\n
\u8907\u6570\u753b\u50cf\u3092\u57cb\u3081\u8fbc\u3080<\/h4>\n\n\n\n
opencv\u3068numpy\u3067\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
# \u80cc\u666f\nimg = np.full((750, 600, 3), (222, 222, 222), dtype=np.uint8)\n\n# \u30bf\u30a4\u30c8\u30eb\ntitle = 'iris histgram'\ncv2.putText(img, title, (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1.0, (0, 0, 0), thickness=2)\n\n# \u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u8ffd\u52a0\ndx, dy = 80, 80 \nh, w = im.shape[:2]\nimg[dy:dy+h, dx:dx+w] = im\n\n# \u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u8ffd\u52a0\ndx, dy = 80, 420\nh, w = im2.shape[:2]\nimg[dy:dy+h, dx:dx+w] = im2\n\ncv2.imshow("img", img)\ncv2.waitKey(0)\ncv2.destroyAllWindows()<\/code><\/pre><\/div>\n\n\n\n
\"\"\/<\/figure>\n\n\n\n
<\/p>\n\n\n\n
\u304a\u308f\u308a\u306b<\/h2>\n\n\n\n
pandas\u3067\u4f5c\u6210\u3057\u305f\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092numpy\u306b\u5909\u63db\u3057\u3066\u3001opencv\u3067\u6271\u3046\u65b9\u6cd5\u3092\u7d39\u4ecb\u3057\u307e\u3057\u305f\u3002pandas\u4ee5\u5916\u306b\u3082matplotli\u3001seaborn\u3067\u3082\u540c\u69d8\u306b\u4f7f\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u4ee5\u4e0a\uff01\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"
pandas\u3067\u63cf\u753b\u3057\u305f\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092numpy\u306b\u5909\u63db\u3057\u3066\u3001\u753b\u50cf\u3068\u3057\u3066\u51fa\u529b\u3059\u308b \u306f\u3058\u3081\u306b pandas\u3067\u96c6\u8a08\u3057\u305f\u30c7\u30fc\u30bf\u3092\u30b0\u30e9\u30d5\u5316\u3057\u3066\u3001\u8907\u6570\u500b\u307e\u3068\u3081\u3066\u4e00\u3064\u306e\u30b0\u30e9\u30d5\u306b\u3057\u305f\u3044\u3068\u3044\u3046\u72b6\u6cc1\u304c\u3042\u3063\u305f\u306e\u3067\u3059\u304c\u3001\u691c\u7d22\u3057\u3066\u3082\u3042\u307e\u308a\u8a72\u5f53\u3059\u308b\u8a18\u2026<\/p>\n","protected":false},"author":1,"featured_media":146,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[10],"tags":[11,12,7],"_links":{"self":[{"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/posts\/18"}],"collection":[{"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=18"}],"version-history":[{"count":13,"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/posts\/18\/revisions"}],"predecessor-version":[{"id":169,"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/posts\/18\/revisions\/169"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/media\/146"}],"wp:attachment":[{"href":"https:\/\/is-ai.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=18"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=18"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=18"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}