{"id":143683,"date":"2024-12-07T17:34:40","date_gmt":"2024-12-07T12:04:40","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=143683"},"modified":"2025-06-24T15:03:52","modified_gmt":"2025-06-24T09:33:52","slug":"heatmap-plot-in-seaborn","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/heatmap-plot-in-seaborn\/","title":{"rendered":"Heatmap Plot in Seaborn"},"content":{"rendered":"<div class='__iawmlf-post-loop-links' style='display:none;' data-iawmlf-post-links='[{&quot;id&quot;:93,&quot;href&quot;:&quot;https:\\\/\\\/data-flair.s3.ap-south-1.amazonaws.com\\\/ai-ml-course-dataset-vivek-uprit\\\/seaborn-heatmap-plot-part-2.zip&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20251205202656\\\/https:\\\/\\\/data-flair.s3.ap-south-1.amazonaws.com\\\/ai-ml-course-dataset-vivek-uprit\\\/seaborn-heatmap-plot-part-2.zip&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2025-12-11 04:48:42&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-01 20:37:48&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-13 16:54:52&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-07 05:02:19&quot;,&quot;http_code&quot;:206}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-05-07 05:02:19&quot;,&quot;http_code&quot;:206},&quot;process&quot;:&quot;done&quot;}]'><\/div>\n<h3>Program 1<\/h3>\n<p><a href=\"https:\/\/data-flair.s3.ap-south-1.amazonaws.com\/ai-ml-course-dataset-vivek-uprit\/seaborn-heatmap-plot-part-2.zip\" target=\"_blank\" rel=\"noopener\"><strong>Seabron Dataset<\/strong><\/a><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import numpy as np\r\nimport pandas as pd\r\nimport matplotlib.pyplot as plt\r\nimport seaborn as sns\r\n\r\n\r\n\r\nar_2d=np.linspace(1,5,12).reshape(4,3)\r\n\r\n\r\n\r\nar_2d\r\n\r\n\r\nsns.heatmap(ar_2d)\r\n\r\n\r\ndf_global=pd.read_csv(\"D:\/\/scikit_data\/global\/global_warming.csv\")\r\n\r\n\r\ndf_global.info()\r\n\r\n\r\ndf_global.shape\r\n\r\n\r\ndf_global=df_global.drop(columns=['Country Code','Indicator Name','Indicator Code'],axis='columns')\r\n\r\n\r\n\r\ndf_global.head()\r\n\r\n\r\ndf_global=df_global.set_index('Country Name')\r\n\r\n\r\ndf_global\r\n\r\n\r\nsns.heatmap(df_global)\r\n\r\n\r\nsns.heatmap(df_global,vmin=0,vmax=25)\r\n\r\n\r\nsns.heatmap(df_global,vmin=0,vmax=25,annot=True)\r\n\r\n\r\nsns.heatmap(df_global,vmin=0,vmax=25,annot=True,cmap='coolwarm')\r\n\r\n\r\nsns.heatmap(df_global,vmin=0,vmax=25,annot=True,cmap='coolwarm')\r\n\r\n\r\nsns.heatmap(df_global,vmin=0,vmax=25,annot=True,cmap='coolwarm',annot_kws={'fontsize':7,'fontstyle':'italic','verticalalignment':'center','color':'k','backgroundcolor':'w','alpha':0.5})\r\n\r\n\r\nsns.heatmap(df_global,annot=True,linewidth=4,annot_kws={'fontsize':7},cbar=False,xticklabels=False,yticklabels=False)\r\n\r\n\r\n\r\nsns.heatmap(df_global,annot=True,linewidth=4,annot_kws={'fontsize':7})\r\n\r\n\r\nsns.heatmap(df_global,annot=True,linewidth=4,annot_kws={'fontsize':7},cbar_kws={'orientation':'horizontal','shrink':1,})\r\n\r\n\r\nsns.heatmap(df_global,annot=True,linewidth=4,annot_kws={'fontsize':7},cbar_kws={'orientation':'horizontal','shrink':1,'extend':'min','drawedges':True})\r\n<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 Seabron Dataset import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns ar_2d=np.linspace(1,5,12).reshape(4,3) ar_2d sns.heatmap(ar_2d) df_global=pd.read_csv(&#8220;D:\/\/scikit_data\/global\/global_warming.csv&#8221;) df_global.info() df_global.shape df_global=df_global.drop(columns=[&#8216;Country Code&#8217;,&#8217;Indicator Name&#8217;,&#8217;Indicator Code&#8217;],axis=&#8217;columns&#8217;) df_global.head() df_global=df_global.set_index(&#8216;Country Name&#8217;) df_global&#46;&#46;&#46;<\/p>\n","protected":false},"author":581,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36],"tags":[33240,33238,8431,33127,33128,12666,33239,33219,33220],"class_list":["post-143683","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-heatmap-plot","tag-heatmap-plot-in-seaborn","tag-machine-learning","tag-machine-learning-practical","tag-machine-learning-program","tag-seaborn","tag-seaborn-heatmap-plot","tag-seaborn-practical","tag-seaborn-program"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - 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DataFlair","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/data-flair.training\/blogs\/heatmap-plot-in-seaborn\/","og_locale":"en_US","og_type":"article","og_title":"Heatmap Plot in Seaborn - DataFlair","og_description":"Program 1 Seabron Dataset import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns ar_2d=np.linspace(1,5,12).reshape(4,3) ar_2d sns.heatmap(ar_2d) df_global=pd.read_csv(\"D:\/\/scikit_data\/global\/global_warming.csv\") df_global.info() df_global.shape df_global=df_global.drop(columns=['Country Code','Indicator Name','Indicator Code'],axis='columns') df_global.head() df_global=df_global.set_index('Country Name') df_global&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/heatmap-plot-in-seaborn\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2024-12-07T12:04:40+00:00","article_modified_time":"2025-06-24T09:33:52+00:00","author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/heatmap-plot-in-seaborn\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/heatmap-plot-in-seaborn\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"Heatmap Plot in Seaborn","datePublished":"2024-12-07T12:04:40+00:00","dateModified":"2025-06-24T09:33:52+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/heatmap-plot-in-seaborn\/"},"wordCount":8,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["heatmap plot","heatmap plot in seaborn","machine learning","machine learning practical","machine learning program","seaborn","seaborn heatmap plot","seaborn practical","seaborn program"],"articleSection":["Machine Learning Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/heatmap-plot-in-seaborn\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/heatmap-plot-in-seaborn\/","url":"https:\/\/data-flair.training\/blogs\/heatmap-plot-in-seaborn\/","name":"Heatmap Plot in Seaborn - 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