{"id":26357,"date":"2021-12-21T09:28:04","date_gmt":"2021-12-21T03:58:04","guid":{"rendered":"https:\/\/python-programs.com\/?p=26357"},"modified":"2021-12-21T09:28:04","modified_gmt":"2021-12-21T03:58:04","slug":"python-loc-function-to-extract-values-from-a-dataset","status":"publish","type":"post","link":"https:\/\/python-programs.com\/python-loc-function-to-extract-values-from-a-dataset\/","title":{"rendered":"Python loc() Function: To Extract Values from a Dataset"},"content":{"rendered":"<p><strong>Python loc() Function:<\/strong><\/p>\n<p>Python is made up of modules that provide built-in functions for dealing with and manipulating data values.<\/p>\n<p>Pandas is an example of such a module.<\/p>\n<p>The Pandas module allows us to manage enormous data sets including a massive amount of data for processing all at once.<\/p>\n<p>This is where Python&#8217;s loc() method comes into play. The loc() function makes it simple to retrieve data values from a dataset.<\/p>\n<p>The <strong>loc()<\/strong> function allows us to obtain the data values fitted in a specific row or column based on the index value given to the function.<\/p>\n<p><strong>Syntax:<\/strong><\/p>\n<pre>pandas.DataFrame.loc[index label]<\/pre>\n<p>We must supply the index values for which we want the whole data set to be shown in the output.<\/p>\n<p>The index label could be one of the following values:<\/p>\n<ul>\n<li>Single label \u2013 for example: String<\/li>\n<li>List of string<\/li>\n<li>Slice objects with labels<\/li>\n<li>List of an array of labels, etc.<\/li>\n<\/ul>\n<p>Using the loc() function, we may extract a specific record from a dataset depending on the index label.<\/p>\n<p>If the provided index\u00a0is not present as a label\u00a0it returns KeyError.<\/p>\n<p><strong>Example<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Import pandas module using the import keyword\r\nimport pandas as pd\r\n# Pass the some random list of data given to the DataFrame() function and store it in a variable\r\ngvn_data = pd.DataFrame([[110, 2, 25, 14], [100, 3, 22, 10], [115, 1, 27, 9], [90, 5, 12, 14]],\r\n     index=['Almond Delight', 'Clusters', 'Corn Chex', 'Cocoa Puffs'],\r\n     columns=['calories', 'vitamins', 'fats','carboydrates'])\r\n# Print the above dataframe\r\nprint(\"The given input Dataframe: \")\r\nprint(gvn_data)<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">The given input Dataframe: \r\n                calories  vitamins  fats  carboydrates\r\nAlmond Delight       110         2    25            14\r\nClusters             100         3    22            10\r\nCorn Chex            115         1    27             9\r\nCocoa Puffs           90         5    12            14<\/pre>\n<p><strong>Extraction of a Row from the Given Dataframe<\/strong><\/p>\n<p>Get all of the data values linked with the index label &#8216;clusters&#8217; as shown below:<\/p>\n<pre>print(gvn_data.loc['Clusters'])<\/pre>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Import pandas module using the import keyword\r\nimport pandas as pd\r\n# Pass the some random list of data given to the DataFrame() function and store it in a variable\r\ngvn_data = pd.DataFrame([[110, 2, 25, 14], [100, 3, 22, 10], [115, 1, 27, 9], [90, 5, 12, 14]],\r\n     index=['Almond Delight', 'Clusters', 'Corn Chex', 'Cocoa Puffs'],\r\n     columns=['calories', 'vitamins', 'fats','carboydrates'])\r\n# Get all of the data values linked with the index label 'Clusters' using the\r\n# loc[] function and print it.\r\nprint(gvn_data.loc['Clusters'])<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"raw\">calories        100\r\nvitamins          3\r\nfats             22\r\ncarboydrates     10\r\nName: Clusters, dtype: int64<\/pre>\n<p><strong>Extraction of Multiple Rows from the Given Dataframe<\/strong><\/p>\n<p>We cal also get the multiple rows from the given dataframe.<\/p>\n<p>Get all of the data values linked with the index labels &#8216;clusters&#8217;,\u00a0 &#8216;Almond Delight&#8217; as shown below:<\/p>\n<pre>print(gvn_data.loc[['Clusters', 'Almond Delight']])<\/pre>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Import pandas module using the import keyword\r\nimport pandas as pd\r\n# Pass the some random list of data given to the DataFrame() function and store it in a variable\r\ngvn_data = pd.DataFrame([[110, 2, 25, 14], [100, 3, 22, 10], [115, 1, 27, 9], [90, 5, 12, 14]],\r\n     index=['Almond Delight', 'Clusters', 'Corn Chex', 'Cocoa Puffs'],\r\n     columns=['calories', 'vitamins', 'fats','carboydrates'])\r\n# Extracting multiple rows from the given dataframe.\r\n# Get all of the data values linked with the index labels 'clusters',\u00a0 'Almond Delight'\r\n# using the loc[] function and print it.\r\nprint(gvn_data.loc[['Clusters', 'Almond Delight']])<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"raw\">                calories  vitamins  fats  carboydrates\r\nClusters             100         3    22            10\r\nAlmond Delight       110         2    25            14<\/pre>\n<p><strong>Extraction of Range of Rows from the Given Dataframe<\/strong><\/p>\n<p>We can retrieve data values of the range of rows using the loc[] function and slicing operator as shown below:<\/p>\n<pre>print(gvn_data.loc['Clusters': 'Cocoa Puffs'])<\/pre>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Import pandas module using the import keyword\r\nimport pandas as pd\r\n# Pass the some random list of data given to the DataFrame() function and store it in a variable\r\ngvn_data = pd.DataFrame([[110, 2, 25, 14], [100, 3, 22, 10], [115, 1, 27, 9], [90, 5, 12, 14]],\r\n     index=['Almond Delight', 'Clusters', 'Corn Chex', 'Cocoa Puffs'],\r\n     columns=['calories', 'vitamins', 'fats','carboydrates'])\r\n# Extracting range of rows from the given dataframe.\r\n# Get all of the data values linked with the index labels 'clusters' to 'Cocoa Puffs '\r\n# using the loc[] function,slicing operator and print it.\r\nprint(gvn_data.loc['Clusters': 'Cocoa Puffs'])<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"raw\">             calories  vitamins  fats  carboydrates\r\nClusters          100         3    22            10\r\nCorn Chex         115         1    27             9\r\nCocoa Puffs        90         5    12            14<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Python loc() Function: Python is made up of modules that provide built-in functions for dealing with and manipulating data values. Pandas is an example of such a module. The Pandas module allows us to manage enormous data sets including a massive amount of data for processing all at once. This is where Python&#8217;s loc() method &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/python-programs.com\/python-loc-function-to-extract-values-from-a-dataset\/\"> <span class=\"screen-reader-text\">Python loc() Function: To Extract Values from a Dataset<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spay_email":"","jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true},"categories":[5],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v18.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python loc() Function: To Extract Values from a Dataset - Python Programs<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/python-programs.com\/python-loc-function-to-extract-values-from-a-dataset\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python loc() Function: To Extract Values from a Dataset - Python Programs\" \/>\n<meta property=\"og:description\" content=\"Python loc() Function: Python is made up of modules that provide built-in functions for dealing with and manipulating data values. 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