{"id":193582,"date":"2024-04-09T09:28:35","date_gmt":"2024-04-09T08:28:35","guid":{"rendered":"https:\/\/datascientest.com\/de\/?p=193582"},"modified":"2024-03-15T09:38:55","modified_gmt":"2024-03-15T08:38:55","slug":"pandas-best-practices-die-deine-arbeitsweise-veraendern-werden","status":"publish","type":"post","link":"https:\/\/datascientest.com\/de\/pandas-best-practices-die-deine-arbeitsweise-veraendern-werden","title":{"rendered":"Pandas Best Practices, die deine Arbeitsweise ver\u00e4ndern werden"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"193582\" class=\"elementor elementor-193582\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f7e5c98 e-flex e-con-boxed e-con\" data-id=\"f7e5c98\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b521c93 elementor-widget elementor-widget-heading\" data-id=\"b521c93\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Mit seinen zahlreichen Funktionen zur Verarbeitung der Daten, mit denen wir arbeiten, hat sich Pandas als unverzichtbares Werkzeug f\u00fcr Data Scientists und Data Analysts etabliert - hier einige Pandas Best Practices:<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-859f6c1 elementor-widget elementor-widget-text-editor\" data-id=\"859f6c1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>In diesem Artikel wirst du einige eher unbekannte Pandas Best Practices sehen, die deine Arbeitsweise ver\u00e4ndern k\u00f6nnen.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f688b61 e-flex e-con-boxed e-con\" data-id=\"f688b61\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7622722 elementor-widget elementor-widget-heading\" data-id=\"7622722\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">1. Eine Legende zu einem Dataframe hinzuf\u00fcgen<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d3c1b00 elementor-widget elementor-widget-text-editor\" data-id=\"d3c1b00\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>\u00c4hnlich wie bei Grafiken, die mit Matplotlib oder Seaborn angezeigt werden, ist es m\u00f6glich, durch eine Codezeile eine Legende zu einem Dataframe hinzuzuf\u00fcgen, wenn dieser angezeigt wird.<\/p><p>Wir beginnen damit, die ben\u00f6tigten Bibliotheken zu importieren:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-60ae918 elementor-widget elementor-widget-code-highlight\" data-id=\"60ae918\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>import pandas as pd\r\nimport numpy as np<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-43a621e elementor-widget elementor-widget-text-editor\" data-id=\"43a621e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Als N\u00e4chstes erstellen wir einen Dataframe mit zuf\u00e4lligen Daten :<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-65ee428 elementor-widget elementor-widget-code-highlight\" data-id=\"65ee428\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>df = pd.DataFrame({'Age': np.random.randint(20, 80, size=5),\r\n                   'Taille': np.random.randint(150, 190, size=5),\r\n                   'Poids': np.random.randint(50, 100, size=5),\r\n                   'Salaire': np.random.randint(1000, 4000, size=5)})<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-58a916f elementor-widget elementor-widget-text-editor\" data-id=\"58a916f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Schlie\u00dflich f\u00fcgst du mit der Funktion set_caption() die Legende zum Dataframe hinzu:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6f0fdca elementor-widget elementor-widget-code-highlight\" data-id=\"6f0fdca\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>legende = \"Ceci est une l\u00e9gende\"\r\ndf.style.set_caption(legende)<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6ceffeb elementor-widget elementor-widget-image\" data-id=\"6ceffeb\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image4-1.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-920e5b2 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"920e5b2\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/de\/weiterbildung-data-scientist\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Lernen, wie man eine Legende zu einem Dataframe hinzuf\u00fcgt<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-aa0312d e-flex e-con-boxed e-con\" data-id=\"aa0312d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f8a04e3 elementor-widget elementor-widget-heading\" data-id=\"f8a04e3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">2. Einen Fortschrittsbalken hinzuf\u00fcgen<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1978472 elementor-widget elementor-widget-text-editor\" data-id=\"1978472\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Wenn du die Daten in deinem Dataframe verarbeitest, kann dies eine Weile dauern und du m\u00f6chtest vielleicht den Fortschritt verfolgen. Um dies zu erreichen, kannst du einen Fortschrittsbalken anzeigen lassen, der sich mit dem Prozentsatz der abgeschlossenen Verarbeitung \u00e4ndert.<\/p><p>Beginnen wir damit, die ben\u00f6tigten Bibliotheken zu importieren:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bc58deb elementor-widget elementor-widget-code-highlight\" data-id=\"bc58deb\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>import pandas as pd\r\nimport time\r\nfrom tqdm.notebook import tqdm<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2e0062 elementor-widget elementor-widget-text-editor\" data-id=\"b2e0062\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Wir initialisieren die Funktion tqdm, mit der wir den Fortschrittsbalken auf dem Notebook anzeigen k\u00f6nnen:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-35c70c7 elementor-widget elementor-widget-code-highlight\" data-id=\"35c70c7\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>tqdm.pandas()<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1bdd873 elementor-widget elementor-widget-text-editor\" data-id=\"1bdd873\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Als N\u00e4chstes erstellen wir einen Dataframe mit zuf\u00e4lligen Daten :<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5fc860e elementor-widget elementor-widget-code-highlight\" data-id=\"5fc860e\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>df = pd.DataFrame({'Age': np.random.randint(20, 80, size=5),\r\n                   'Taille': np.random.randint(150, 190, size=5),\r\n                   'Poids': np.random.randint(50, 100, size=5),\r\n                   'Salaire': np.random.randint(1000, 4000, size=5)})<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-80dc3ab elementor-widget elementor-widget-text-editor\" data-id=\"80dc3ab\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Du erstellst eine Funktion, die simuliert, dass die Verarbeitung eines Dataframes 0,5 Sekunden pro Zeile dauern w\u00fcrde:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ac6c0e3 elementor-widget elementor-widget-code-highlight\" data-id=\"ac6c0e3\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>def process_row(row):\r\n    tqdm.pandas(desc=\"Traitement en cours\")\r\n    time.sleep(0.5)<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7fec76a elementor-widget elementor-widget-text-editor\" data-id=\"7fec76a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Du wendest die Verarbeitung auf den Datenframe an, w\u00e4hrend du den Fortschrittsbalken anzeigst:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5f6e471 elementor-widget elementor-widget-code-highlight\" data-id=\"5f6e471\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>df.progress_apply(process_row, axis=1)<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-96abd16 elementor-widget elementor-widget-text-editor\" data-id=\"96abd16\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Wir zeigen eine Nachricht an, wenn die Verarbeitung abgeschlossen ist:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b36982f elementor-widget elementor-widget-code-highlight\" data-id=\"b36982f\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>print(\"Traitement du DataFrame termin\u00e9.\")<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5fea24f elementor-widget elementor-widget-image\" data-id=\"5fea24f\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image1-1.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-988814e elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"988814e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/de\/weiterbildung-data-scientist\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Lerne, wie man den Fortschrittsbalken benutzt<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cd204ce e-flex e-con-boxed e-con\" data-id=\"cd204ce\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-66b921e elementor-widget elementor-widget-heading\" data-id=\"66b921e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">3. \u00c4ndere die Formatierung unseres Dataframes<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e1f1e9c elementor-widget elementor-widget-text-editor\" data-id=\"e1f1e9c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Bei der Anzeige unseres<strong> Dataframes<\/strong> ist es m\u00f6glich, Farben hinzuzuf\u00fcgen, die Anzahl der angezeigten Dezimalstellen festzulegen oder die den verschiedenen Spalten zugeordneten Einheiten hinzuzuf\u00fcgen. Hierzu k\u00f6nnen wir die Funktion style.format() von Pandas verwenden.<\/p><p>Wie zuvor importieren wir die ben\u00f6tigten Bibliotheken und erstellen den Datenframe, der verwendet werden soll:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4448338 elementor-widget elementor-widget-code-highlight\" data-id=\"4448338\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>import pandas as pd\r\nimport numpy as np\r\n\r\n\r\ndf = pd.DataFrame({'Age': np.random.randint(20, 80, size=10),\r\n                   'Taille': np.random.randint(1500, 1900, size=10)\/1000,\r\n                   'Poids': np.random.randint(5000, 10000, size=10)\/100,\r\n                   'Salaire': np.random.randint(100000, 400000, size=10)\/100})<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-98d1c67 elementor-widget elementor-widget-text-editor\" data-id=\"98d1c67\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Wir zeigen den Dataframe an, um die Standardansicht zu sehen :<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d6d9301 elementor-widget elementor-widget-code-highlight\" data-id=\"d6d9301\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>df<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aa7645c elementor-widget elementor-widget-text-editor\" data-id=\"aa7645c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Wir zeigen den Dataframe an, um die Standardansicht zu sehen :<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-52e8d45 elementor-widget elementor-widget-code-highlight\" data-id=\"52e8d45\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>df.style.format({\"Age\": \"{} ans\",\r\n                 \"Taille\": \"{:.2f} cm\",\r\n                 \"Poids\": \"{:.1f} kgs\",\r\n                 \"Salaire\":\"{:,.2f}\u20ac\"})\\\r\n                 .background_gradient()<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-180d4fc elementor-widget elementor-widget-text-editor\" data-id=\"180d4fc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Lass uns die verschiedenen Elemente dieser Bestellung aufschl\u00fcsseln:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-156f10b elementor-widget elementor-widget-code-highlight\" data-id=\"156f10b\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>\"Salaire\":\"{:,.2f}\u20ac\"<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-876ac51 elementor-widget elementor-widget-text-editor\" data-id=\"876ac51\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>.2 gibt an, dass zwei Dezimalstellen beibehalten werden sollen.<\/p><p>f bedeutet, dass du eine Flie\u00dfkommazahl (float) zur\u00fcckgeben m\u00f6chtest.<\/p><p>Das Komma nach dem Doppelpunkt bedeutet, dass man die Tausender durch Kommas trennen m\u00f6chte.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c14454a elementor-widget elementor-widget-code-highlight\" data-id=\"c14454a\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>background_gradient()<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8db6899 elementor-widget elementor-widget-text-editor\" data-id=\"8db6899\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Hiermit kannst du die K\u00e4stchen der verschiedenen Spalten mit einem Farbverlauf einf\u00e4rben, wobei die h\u00f6chsten Werte die dunkelsten Farben haben.<\/p><p>Es ergibt sich folgendes Bild:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8232c39 elementor-widget elementor-widget-image\" data-id=\"8232c39\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image2-1.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3b5dac6 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"3b5dac6\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/de\/weiterbildung-data-scientist\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Die Formatierung eines Dataframes \u00e4ndern<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6854940 e-flex e-con-boxed e-con\" data-id=\"6854940\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-396f931 elementor-widget elementor-widget-heading\" data-id=\"396f931\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">3. \u00c4ndere die Formatierung unseres Dataframes<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-442f5bc elementor-widget elementor-widget-text-editor\" data-id=\"442f5bc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Bei der Anzeige unseres Dataframes ist es m\u00f6glich, Farben hinzuzuf\u00fcgen, die Anzahl der angezeigten Dezimalstellen festzulegen oder die den verschiedenen Spalten zugeordneten Einheiten hinzuzuf\u00fcgen. Hierzu k\u00f6nnen wir die Funktion style.format() von Pandas verwenden.<\/p><p>Wie zuvor importieren wir die ben\u00f6tigten Bibliotheken und erstellen den Datenframe, der verwendet werden soll:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c89b8d6 elementor-widget elementor-widget-code-highlight\" data-id=\"c89b8d6\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>import pandas as pd\r\nimport numpy as np\r\n\r\n\r\ndf = pd.DataFrame({'Age': np.random.randint(20, 80, size=10),\r\n                   'Taille': np.random.randint(1500, 1900, size=10)\/1000,\r\n                   'Poids': np.random.randint(5000, 10000, size=10)\/100,\r\n                   'Salaire': np.random.randint(100000, 400000, size=10)\/100})<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a8d6b64 elementor-widget elementor-widget-text-editor\" data-id=\"a8d6b64\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Wir zeigen den Dataframe an, um die Standardansicht zu sehen :<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a876cb9 elementor-widget elementor-widget-code-highlight\" data-id=\"a876cb9\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>df<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-212a6a4 elementor-widget elementor-widget-text-editor\" data-id=\"212a6a4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Wir wenden nun eine Formatierung auf die Daten an:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-93a9623 elementor-widget elementor-widget-code-highlight\" data-id=\"93a9623\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>df.style.format({\"Age\": \"{} ans\",\r\n                 \"Taille\": \"{:.2f} cm\",\r\n                 \"Poids\": \"{:.1f} kgs\",\r\n                 \"Salaire\":\"{:,.2f}\u20ac\"})\\\r\n                 .background_gradient()<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3f27291 elementor-widget elementor-widget-text-editor\" data-id=\"3f27291\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Lass uns die verschiedenen Elemente dieser Bestellung aufschl\u00fcsseln:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e6bade9 elementor-widget elementor-widget-code-highlight\" data-id=\"e6bade9\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>\"Salaire\":\"{:,.2f}\u20ac\"<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-79c9a54 elementor-widget elementor-widget-text-editor\" data-id=\"79c9a54\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<span style=\"font-weight: 400; color: #339966;\">.2<\/span><span style=\"font-weight: 400;\"> bedeutet, dass zwei Dezimalstellen beibehalten werden sollen.<\/span>.\n\n<span style=\"font-weight: 400; color: #339966;\">f<\/span><span style=\"font-weight: 400;\"> gibt an, dass eine Flie\u00dfkommazahl (float) zur\u00fcckgegeben werden soll.<\/span>.\n\n<span style=\"font-weight: 400;\">Das Komma nach dem Doppelpunkt bedeutet, dass die Tausender durch Kommas getrennt werden sollen.<\/span>.\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-72aba1d elementor-widget elementor-widget-code-highlight\" data-id=\"72aba1d\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>background_gradient()<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-93dd533 elementor-widget elementor-widget-text-editor\" data-id=\"93dd533\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Hiermit kannst du die K\u00e4stchen der verschiedenen Spalten mit einem Farbverlauf einf\u00e4rben, wobei die h\u00f6chsten Werte die dunkelsten Farben haben.<\/p><p>Es ergibt sich folgendes Bild:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-904b32e elementor-widget elementor-widget-image\" data-id=\"904b32e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image2-1.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ff272bf elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"ff272bf\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/de\/weiterbildung-data-scientist\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Die Formatierung eines Dataframes \u00e4ndern k\u00f6nnen<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9446f3f e-flex e-con-boxed e-con\" data-id=\"9446f3f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d8abce5 elementor-widget elementor-widget-heading\" data-id=\"d8abce5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">5. Kurven in einem Dataframe anzeigen<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d3b30f1 elementor-widget elementor-widget-text-editor\" data-id=\"d3b30f1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Es ist m\u00f6glich, Kurven in einen Dataframe einzuf\u00fcgen.<\/p><p>Wir importieren die notwendigen Bibliotheken :<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c499c6b elementor-widget elementor-widget-code-highlight\" data-id=\"c499c6b\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>import pandas as pd\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\n\r\n\r\nfrom base64 import b64encode\r\nfrom io import BytesIO\r\nfrom IPython.display import HTML<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d2fd158 elementor-widget elementor-widget-text-editor\" data-id=\"d2fd158\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Dann f\u00fcgen wir die folgende Zeile ein, damit Matplotlib Grafiken im Codefluss anzeigen kann:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8707b12 elementor-widget elementor-widget-code-highlight\" data-id=\"8707b12\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>%matplotlib inline<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8e489bb elementor-widget elementor-widget-text-editor\" data-id=\"8e489bb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Anschlie\u00dfend wird ein Dataframe mit zuf\u00e4lligen Daten erstellt:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e0b405d elementor-widget elementor-widget-code-highlight\" data-id=\"e0b405d\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>data = [('Euro', np.random.randint(40000, size=100)),\r\n        ('Dollar', np.random.randint(5000, size=100)),\r\n        ('Yen', np.random.randint(15000, size=100))]\r\n\r\n\r\ndf = pd.DataFrame(data, columns=['Devise', 'Cours'])<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ffa69f2 elementor-widget elementor-widget-text-editor\" data-id=\"ffa69f2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Als N\u00e4chstes werden wir eine Funktion definieren, um die Kurven zu erstellen, die wir anzeigen wollen:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-53e98a9 elementor-widget elementor-widget-code-highlight\" data-id=\"53e98a9\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp># Wir konvertieren den Dataframe in eine Liste.\n    data = list(data)\n\n\n    # Wir erstellen den Graphen mit einer bestimmten Gr\u00f6\u00dfe.\n    fig, ax = plt.subplots(1, 1, figsize=(5, 1))\n\n\n    # Wir zeigen die Daten an\n    ax.plot(data)\n\n\n    # Wir schlie\u00dfen die Grafik, damit sie nicht au\u00dferhalb der gew\u00fcnschten Stellen angezeigt wird.\n    plt.close(fig)\n\n\n    # Wir speichern das Bild als png und speichern seine Bin\u00e4rdaten.\n    img = BytesIO()\n    fig.savefig(img, format='png')\n    encoded = b64encode(img.getvalue()).decode('utf-8')\n\n\n    # Wir geben das Bild codiert in HTML zur\u00fcck.\n    return '<img decoding=\"async\" src=\"data:image\/png;base64,{}\"\/>'.format(encoded)<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2dc6390 elementor-widget elementor-widget-text-editor\" data-id=\"2dc6390\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Schlie\u00dflich zeigen wir den Dataframe mit den Kurven :<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cdd9cf6 elementor-widget elementor-widget-code-highlight\" data-id=\"cdd9cf6\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-default copy-to-clipboard \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>df['Courbe du cours'] = df['Cours'].apply(create_line)\r\nHTML(df.drop(columns = ['Cours']).to_html(escape=False))<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-867b10c elementor-widget elementor-widget-image\" data-id=\"867b10c\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image3-1.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a8dbdbc elementor-widget elementor-widget-text-editor\" data-id=\"a8dbdbc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Mit den verschiedenen <strong>Pandas Best Practices<\/strong>, die in diesem Artikel vorgestellt werden, kannst du Informationen in deine Dataframes einf\u00fcgen und so mehr relevante Daten herausholen, wenn du sie pr\u00e4sentieren musst!<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-22510c1 elementor-widget elementor-widget-text-editor\" data-id=\"22510c1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Wenn du <strong>Data Frames<\/strong> von A bis Z beherrschen m\u00f6chtest, schau dir unsere Ausbildung zum Data Scientist an!<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a1b5e65 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"a1b5e65\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/de\/weiterbildung-data-scientist\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Entdecke unsere Data Scientist-Ausbildung<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ce77d69 elementor-widget elementor-widget-html\" data-id=\"ce77d69\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">.\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{{\n    \"@type\": \"Frage\",\n    \"name\": \"Was sind Pandas?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Die Open-Source-Softwarebibliothek Pandas wurde speziell f\u00fcr die Bearbeitung und Analyse von Daten in der Programmiersprache Python entwickelt. Sie ist leistungsstark, flexibel und einfach zu bedienen.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"Wie funktioniert Pandas?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Pandas funktioniert mithilfe von DataFrames: zweidimensionale Datentabellen, bei denen jede Spalte die Werte einer Variablen und jede Zeile eine Reihe von Werten aus jeder Spalte enth\u00e4lt. Die in einem DataFrame gespeicherten Daten k\u00f6nnen Zahlen oder Zeichen sein.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"Was n\u00fctzen dir die Panda-Tipps?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Die verschiedenen Funktionen in diesem Artikel werden dir helfen, Informationen zu deinen Datenframes hinzuzuf\u00fcgen, um mehr relevante Daten zu erhalten, wenn du sie pr\u00e4sentieren musst!\"\n    }\n  }]\n}\n<\/script>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Mit seinen zahlreichen Funktionen zur Verarbeitung der Daten, mit denen wir arbeiten, hat sich Pandas als unverzichtbares Werkzeug f\u00fcr Data Scientists und Data Analysts etabliert &#8211; hier einige Pandas Best Practices: In diesem Artikel wirst du einige eher unbekannte Pandas Best Practices sehen, die deine Arbeitsweise ver\u00e4ndern k\u00f6nnen. 1. Eine Legende zu einem Dataframe hinzuf\u00fcgen [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":193584,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2454],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas Best Practices, die deine Arbeitsweise ver\u00e4ndern werden<\/title>\n<meta name=\"description\" content=\"Es gibt einige Pandas Best Practices, die deine Arbeitsweise ver\u00e4ndern werden, wie zum Beispiel das Erstellen einer...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/de\/pandas-best-practices-die-deine-arbeitsweise-veraendern-werden\" \/>\n<meta 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