{"id":1214,"date":"2023-07-27T06:29:39","date_gmt":"2023-07-27T06:29:39","guid":{"rendered":"https:\/\/statorials.org\/pl\/tabela-matplotlib\/"},"modified":"2023-07-27T06:29:39","modified_gmt":"2023-07-27T06:29:39","slug":"tabela-matplotlib","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/tabela-matplotlib\/","title":{"rendered":"Jak utworzy\u0107 tabel\u0119 za pomoc\u0105 matplotlib"},"content":{"rendered":"

<\/p>\n

\n

Do tworzenia tabel w Pythonie przy u\u017cyciu Matplotlib mo\u017cna u\u017cy\u0107 jednej z dw\u00f3ch nast\u0119puj\u0105cych metod:<\/span><\/p>\n

Metoda 1: Utw\u00f3rz tabel\u0119 na podstawie ramki DataFrame pand<\/strong><\/span><\/p>\n

 #create pandas DataFrame\n<\/span>df = pd.DataFrame(np. random<\/span> . randn<\/span> (20, 2), columns=[' First<\/span> ', ' Second<\/span> '])\n\n#create table\n<\/span>table = ax. table<\/span> (cellText=df. values<\/span> , colLabels=df. columns<\/span> , loc=' center<\/span> ')\n<\/strong><\/pre>\n
 Metoda 2: Utw\u00f3rz tablic\u0119 z warto\u015bci niestandardowych<\/strong><\/span><\/p>\n
 #create values for table\n<\/span>table_data=[\n    [\"Player 1\", 30],\n    [\"Player 2\", 20],\n    [\"Player 3\", 33],\n    [\"Player 4\", 25],\n    [\"Player 5\", 12]\n]\n\n#create table\n<\/span>table = ax. table<\/span> (cellText=table_data, loc=' center<\/span> ')<\/strong><\/pre>\n
 W tym samouczku znajduj\u0105 si\u0119 przyk\u0142ady wykorzystania tych metod w praktyce.<\/span><\/p>\n
 Przyk\u0142ad 1: Utw\u00f3rz tabel\u0119 z ramki DataFrame pandy<\/strong><\/span><\/h3>\n
 Poni\u017cszy kod pokazuje, jak utworzy\u0107 tabel\u0119 w Matplotlib zawieraj\u0105c\u0105 warto\u015bci pandy DataFrame:<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\nimport<\/span> matplotlib.pyplot as<\/span> plt\n\n#make this example reproducible\n<\/span>n.p. random<\/span> . seeds<\/span> (0)\n\n#define figure and axes\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#hide the axes\n<\/span>fig.patch. set_visible<\/span> (False)\nax.axis(' off<\/span> ')\nax.axis(' tight<\/span> ')\n\n#createdata\n<\/span>df = pd.DataFrame(np. random<\/span> . randn<\/span> (20, 2), columns=[' First<\/span> ', ' Second<\/span> '])\n\n#create table\n<\/span>table = ax. table<\/span> (cellText=df.values, colLabels=df.columns, loc=' center<\/span> ')\n\n#display table\n<\/span>fig. tight_layout<\/span> ()\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"Tabela<\/p>\n
 Przyk\u0142ad 2: Utw\u00f3rz tabel\u0119 na podstawie warto\u015bci niestandardowych<\/strong><\/span><\/h3>\n
 Poni\u017cszy kod pokazuje, jak utworzy\u0107 tabel\u0119 w Matplotlib zawieraj\u0105c\u0105 niestandardowe warto\u015bci:<\/span> <\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\nimport<\/span> matplotlib.pyplot as<\/span> plt \n\n#define figure and axes\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#create values for table\ntable_data=[\n    [\"Player 1\", 30],\n    [\"Player 2\", 20],\n    [\"Player 3\", 33],\n    [\"Player 4\", 25],\n    [\"Player 5\", 12]\n]\n\n#create table\n<\/span>table = ax. table<\/span> (cellText=table_data, loc=' center<\/span> ')\n\n#modify table\n<\/span>table. set_fontsize<\/span> (14)\ntable. scale<\/span> (1.4)\nax. axis<\/span> (' off<\/span> ')\n\n#displaytable\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"tabela<\/p>\n
 Zauwa\u017c, \u017ce table.scale(width,length)<\/strong> modyfikuje szeroko\u015b\u0107 i d\u0142ugo\u015b\u0107 tabeli. Na przyk\u0142ad mogliby\u015bmy wyd\u0142u\u017cy\u0107 st\u00f3\u0142, zmieniaj\u0105c jego d\u0142ugo\u015b\u0107:<\/span> <\/p>\n
 table. scale<\/span> (1.10)\n<\/span><\/span><\/strong><\/pre>\n
\"Tabela<\/p>\n
 Dodatkowe zasoby<\/strong><\/span><\/h3>\n
 Jak doda\u0107 tekst do wykres\u00f3w Matplotlib<\/a>
 Jak ustawi\u0107 wsp\u00f3\u0142czynnik proporcji w Matplotlib<\/a>
 Jak zmieni\u0107 rozmiar czcionki legendy w Matplotlib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Do tworzenia tabel w Pythonie przy u\u017cyciu Matplotlib mo\u017cna u\u017cy\u0107 jednej z dw\u00f3ch nast\u0119puj\u0105cych metod: Metoda 1: Utw\u00f3rz tabel\u0119 na podstawie ramki DataFrame pand #create pandas DataFrame df = pd.DataFrame(np. random . randn (20, 2), columns=[’ First ’, ’ Second ’]) #create table table = ax. table (cellText=df. values , colLabels=df. columns , loc=’ center […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1214","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"\nJak utworzy\u0107 tabel\u0119 za pomoc\u0105 Matplotlib - Statologia<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, jak tworzy\u0107 tabele za pomoc\u0105 Matplotlib, z kilkoma przyk\u0142adami.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/pl\/tabela-matplotlib\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak utworzy\u0107 tabel\u0119 za pomoc\u0105 Matplotlib - Statologia\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono, jak tworzy\u0107 tabele za pomoc\u0105 Matplotlib, z kilkoma przyk\u0142adami.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/tabela-matplotlib\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T06:29:39+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/tableau-1.png\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Napisane przez\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Szacowany czas czytania\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minuty\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pl\/tabela-matplotlib\/\",\"url\":\"https:\/\/statorials.org\/pl\/tabela-matplotlib\/\",\"name\":\"Jak utworzy\u0107 tabel\u0119 za pomoc\u0105 Matplotlib - Statologia\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-27T06:29:39+00:00\",\"dateModified\":\"2023-07-27T06:29:39+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono, jak tworzy\u0107 tabele za pomoc\u0105 Matplotlib, z kilkoma przyk\u0142adami.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/tabela-matplotlib\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/tabela-matplotlib\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/tabela-matplotlib\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak utworzy\u0107 tabel\u0119 za pomoc\u0105 matplotlib\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/pl\/#website\",\"url\":\"https:\/\/statorials.org\/pl\/\",\"name\":\"Statorials\",\"description\":\"Tw\u00f3j przewodnik po kompetencjach statystycznych!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/pl\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"pl-PL\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\",\"name\":\"Benjamin Anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pl-PL\",\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/pl\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/pl\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin Anderson\"},\"description\":\"Cze\u015b\u0107, jestem Benjamin i jestem emerytowanym profesorem statystyki, kt\u00f3ry zosta\u0142 oddanym nauczycielem Statorials. 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