{"id":3371,"date":"2021-07-23T11:55:03","date_gmt":"2021-07-23T11:55:03","guid":{"rendered":"https:\/\/www.bearloga.space\/?page_id=3371"},"modified":"2021-07-23T11:55:03","modified_gmt":"2021-07-23T11:55:03","slug":"python-pandas-funkczionalnoe-prilozhenie","status":"publish","type":"page","link":"https:\/\/www.bearloga.space\/en\/python-pandas-funkczionalnoe-prilozhenie\/","title":{"rendered":"Python Pandas \u2014 \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0435 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0435"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">\u0427\u0442\u043e\u0431\u044b \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u0441\u0432\u043e\u0438 \u0441\u043e\u0431\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0438\u043b\u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0434\u0440\u0443\u0433\u043e\u0439 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u043a \u043e\u0431\u044a\u0435\u043a\u0442\u0430\u043c Pandas, \u0432\u044b \u0434\u043e\u043b\u0436\u043d\u044b \u0437\u043d\u0430\u0442\u044c \u043e \u0442\u0440\u0435\u0445 \u0432\u0430\u0436\u043d\u044b\u0445 \u043c\u0435\u0442\u043e\u0434\u0430\u0445.&nbsp;\u041c\u0435\u0442\u043e\u0434\u044b \u0431\u044b\u043b\u0438 \u043e\u0431\u0441\u0443\u0436\u0434\u0435\u043d\u044b \u043d\u0438\u0436\u0435.&nbsp;\u041f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0438\u0439 \u043c\u0435\u0442\u043e\u0434, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043d\u0443\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c, \u0437\u0430\u0432\u0438\u0441\u0438\u0442 \u043e\u0442 \u0442\u043e\u0433\u043e, \u043e\u0436\u0438\u0434\u0430\u0435\u0442 \u043b\u0438 \u0432\u0430\u0448\u0430 \u0444\u0443\u043d\u043a\u0446\u0438\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0441\u043e \u0432\u0441\u0435\u043c DataFrame, \u043f\u043e \u0441\u0442\u0440\u043e\u043a\u0430\u043c \u0438\u043b\u0438 \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c, \u0438\u043b\u0438 \u043f\u043e \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u0430\u043c.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>\u0422\u0430\u0431\u043b\u0438\u0446\u0430 \u043c\u0443\u0434\u0440\u0430\u044f \u0424\u0443\u043d\u043a\u0446\u0438\u044f \u041f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435: \u0442\u0440\u0443\u0431\u0430 ()<\/li><li>\u0424\u0443\u043d\u043a\u0446\u0438\u044f \u0441\u0442\u0440\u043e\u043a\u0438 \u0438\u043b\u0438 \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u043c\u0443\u0434\u0440\u0430\u044f \u041f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435: apply ()<\/li><li>\u042d\u043b\u0435\u043c\u0435\u043d\u0442 \u043c\u0443\u0434\u0440\u043e\u0439 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u041f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435: applymap ()<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">\u0422\u0430\u0431\u043b\u0438\u0447\u043d\u043e\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0439<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u041f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u043c\u043e\u0436\u043d\u043e \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c, \u043f\u0435\u0440\u0435\u0434\u0430\u0432 \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u0438 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432 \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u043a\u0430\u043d\u0430\u043b\u0430.&nbsp;\u0422\u0430\u043a\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c, \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442\u0441\u044f \u043d\u0430 \u0432\u0435\u0441\u044c DataFrame.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0434\u043e\u0431\u0430\u0432\u044c\u0442\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 2 \u043a\u043e \u0432\u0441\u0435\u043c \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u0430\u043c \u0432 DataFrame.&nbsp;\u0417\u0430\u0442\u0435\u043c,<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u0444\u0443\u043d\u043a\u0446\u0438\u044f \u0441\u0443\u043c\u043c\u0430\u0442\u043e\u0440\u0430<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u0424\u0443\u043d\u043a\u0446\u0438\u044f \u0441\u0443\u043c\u043c\u0430\u0442\u043e\u0440\u0430 \u0434\u043e\u0431\u0430\u0432\u043b\u044f\u0435\u0442 \u0434\u0432\u0430 \u0447\u0438\u0441\u043b\u043e\u0432\u044b\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432 \u0438 \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0441\u0443\u043c\u043c\u0443.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">def adder(ele1,ele2):\n   return ele1+ele2\n<\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u0422\u0435\u043f\u0435\u0440\u044c \u043c\u044b \u0431\u0443\u0434\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0443\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439 \u0441 DataFrame.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">df = pd.DataFrame(np.random.randn(5,3),columns=['col1','col2','col3'])\ndf.pipe(adder,2)\n<\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u0414\u0430\u0432\u0430\u0439\u0442\u0435 \u043f\u043e\u0441\u043c\u043e\u0442\u0440\u0438\u043c \u043f\u043e\u043b\u043d\u0443\u044e \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0443 \u2014<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import pandas as pd\r\nimport numpy as np\r\n\r\ndef adder(ele1,ele2):\r\n   return ele1+ele2\r\n\r\ndf = pd.DataFrame(np.random.randn(5,3),columns=&#91;'col1','col2','col3'])\r\ndf.pipe(adder,2)\r\nprint df.apply(np.mean)<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\"><em>\u0415\u0433\u043e\u00a0<\/em><strong>\u0432\u044b\u0432\u043e\u0434<\/strong><em>\u00a0\u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u2014<\/em><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>        col1       col2       col3\r\n0   2.176704   2.219691   1.509360\r\n1   2.222378   2.422167   3.953921\r\n2   2.241096   1.135424   2.696432\r\n3   2.355763   0.376672   1.182570\r\n4   2.308743   2.714767   2.130288<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\">\u0424\u0443\u043d\u043a\u0446\u0438\u044f \u0432\u044b\u0431\u043e\u0440\u0430 \u0441\u0442\u0440\u043e\u043a\u0438 \u0438\u043b\u0438 \u0441\u0442\u043e\u043b\u0431\u0446\u0430<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u041f\u0440\u043e\u0438\u0437\u0432\u043e\u043b\u044c\u043d\u044b\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u043c\u043e\u0433\u0443\u0442 \u0431\u044b\u0442\u044c \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u044b \u0432\u0434\u043e\u043b\u044c \u043e\u0441\u0435\u0439 DataFrame \u0438\u043b\u0438 Panel \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u043c\u0435\u0442\u043e\u0434\u0430\u00a0<strong>apply ()<\/strong>\u00a0, \u043a\u043e\u0442\u043e\u0440\u044b\u0439, \u043a\u0430\u043a \u0438 \u043c\u0435\u0442\u043e\u0434\u044b \u043e\u043f\u0438\u0441\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0439 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438, \u043f\u0440\u0438\u043d\u0438\u043c\u0430\u0435\u0442 \u043d\u0435\u043e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 \u043e\u0441\u0438.\u00a0\u041f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430\u043c, \u043f\u0440\u0438\u043d\u0438\u043c\u0430\u044f \u043a\u0430\u0436\u0434\u044b\u0439 \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u043a\u0430\u043a \u043c\u0430\u0441\u0441\u0438\u0432.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import pandas as pd\r\nimport numpy as np\r\n\r\ndf = pd.DataFrame(np.random.randn(5,3),columns=&#91;'col1','col2','col3'])\r\ndf.apply(np.mean)\r\nprint df.apply(np.mean)<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\"><em>\u0415\u0433\u043e\u00a0<\/em><strong>\u0432\u044b\u0432\u043e\u0434<\/strong><em>\u00a0\u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u2014<\/em><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>col1   -0.288022\r\ncol2    1.044839\r\ncol3   -0.187009\r\ndtype: float64<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\"><em><em><strong>\u041f\u0435\u0440\u0435\u0434\u0430\u0432<\/strong>\u00a0\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u00a0<strong>\u043e\u0441\u0438<\/strong>\u00a0, \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u043c\u043e\u0433\u0443\u0442 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c\u0441\u044f \u043f\u043e \u0441\u0442\u0440\u043e\u043a\u0430\u043c.<\/em><\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em><em>\u041f\u0440\u0438\u043c\u0435\u0440 2<\/em><\/em><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import pandas as pd\r\nimport numpy as np\r\n\r\ndf = pd.DataFrame(np.random.randn(5,3),columns=&#91;'col1','col2','col3'])\r\ndf.apply(np.mean,axis=1)\r\nprint df.apply(np.mean)<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\"><em>\u0415\u0433\u043e\u00a0<\/em><strong>\u0432\u044b\u0432\u043e\u0434<\/strong><em>\u00a0\u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u2014<\/em><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>col1    0.034093\r\ncol2   -0.152672\r\ncol3   -0.229728\r\ndtype: float64  <\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u041f\u0440\u0438\u043c\u0435\u0440 3<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import pandas as pd\r\nimport numpy as np\r\n\r\ndf = pd.DataFrame(np.random.randn(5,3),columns=&#91;'col1','col2','col3'])\r\ndf.apply(lambda x: x.max() - x.min())\r\nprint df.apply(np.mean)<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\"><em>\u0415\u0433\u043e\u00a0<\/em><strong>\u0432\u044b\u0432\u043e\u0434<\/strong><em>\u00a0\u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u2014<\/em><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>col1   -0.167413\r\ncol2   -0.370495\r\ncol3   -0.707631\r\ndtype: float64<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\"><em><em>\u042d\u043b\u0435\u043c\u0435\u043d\u0442 Wise \u0424\u0443\u043d\u043a\u0446\u0438\u044f \u041f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435\u041d\u0435 \u0432\u0441\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u043c\u043e\u0433\u0443\u0442 \u0431\u044b\u0442\u044c \u0432\u0435\u043a\u0442\u043e\u0440\u0438\u0437\u043e\u0432\u0430\u043d\u044b (\u043d\u0438 \u043c\u0430\u0441\u0441\u0438\u0432\u044b NumPy, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u044e\u0442 \u0434\u0440\u0443\u0433\u043e\u0439 \u043c\u0430\u0441\u0441\u0438\u0432, \u043d\u0438 \u043a\u0430\u043a\u043e\u0435-\u043b\u0438\u0431\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435), \u043c\u0435\u0442\u043e\u0434\u044b\u00a0<strong>applymap ()<\/strong>\u00a0\u0432 DataFrame \u0438\u00a0<strong>\u0430\u043d\u0430\u043b\u043e\u0433\u0438\u0447\u043d\u043e map ()<\/strong>\u00a0\u0432 Series \u043f\u0440\u0438\u043d\u0438\u043c\u0430\u044e\u0442 \u043b\u044e\u0431\u0443\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u044e Python, \u043f\u0440\u0438\u043d\u0438\u043c\u0430\u044e\u0449\u0443\u044e \u043e\u0434\u043d\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0438 \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u044e\u0449\u0443\u044e \u043e\u0434\u043d\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435.<\/em><\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em><em>\u041f\u0440\u0438\u043c\u0435\u0440 1<\/em><\/em><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import pandas as pd\r\nimport numpy as np\r\ndf = pd.DataFrame(np.random.randn(5,3),columns=&#91;'col1','col2','col3'])\r\n\r\n# My custom function\r\ndf&#91;'col1'].map(lambda x:x*100)\r\nprint df.apply(np.mean)<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\"><em>\u0415\u0433\u043e\u00a0<\/em><strong>\u0432\u044b\u0432\u043e\u0434<\/strong><em>\u00a0\u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c \u2014<\/em><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>col1    0.480742\r\ncol2    0.454185\r\ncol3    0.266563\r\ndtype: float64<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u041f\u0440\u0438\u043c\u0435\u0440 2<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import pandas as pd\r\nimport numpy as np\r\n\r\n# My custom function\r\ndf = pd.DataFrame(np.random.randn(5,3),columns=&#91;'col1','col2','col3'])\r\ndf.applymap(lambda x:x*100)\r\nprint df.apply(np.mean)<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0427\u0442\u043e\u0431\u044b \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u0441\u0432\u043e\u0438 \u0441\u043e\u0431\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0438\u043b\u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0434\u0440\u0443\u0433\u043e\u0439 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u043a \u043e\u0431\u044a\u0435\u043a\u0442\u0430\u043c Pandas, \u0432\u044b \u0434\u043e\u043b\u0436\u043d\u044b \u0437\u043d\u0430\u0442\u044c \u043e \u0442\u0440\u0435\u0445 \u0432\u0430\u0436\u043d\u044b\u0445 \u043c\u0435\u0442\u043e\u0434\u0430\u0445.&nbsp;\u041c\u0435\u0442\u043e\u0434\u044b \u0431\u044b\u043b\u0438 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[109],"tags":[],"class_list":["post-3371","page","type-page","status-publish","hentry","category-python-pandas"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/pages\/3371","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/comments?post=3371"}],"version-history":[{"count":0,"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/pages\/3371\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/media?parent=3371"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/categories?post=3371"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bearloga.space\/en\/wp-json\/wp\/v2\/tags?post=3371"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}