{"id":4471,"date":"2022-09-09T12:00:52","date_gmt":"2022-09-09T06:30:52","guid":{"rendered":"https:\/\/btechgeeks.com\/?p=4471"},"modified":"2022-09-09T12:19:20","modified_gmt":"2022-09-09T06:49:20","slug":"pandas-convert-a-dataframe-column-into-a-list-using-series-to_list-or-numpy-ndarray-tolist-in-python","status":"publish","type":"post","link":"https:\/\/btechgeeks.com\/pandas-convert-a-dataframe-column-into-a-list-using-series-to_list-or-numpy-ndarray-tolist-in-python\/","title":{"rendered":"Pandas to_list &#8211; Pandas: Convert a dataframe column into a list using Series.to_list() or numpy.ndarray.tolist() in python"},"content":{"rendered":"<h2>Get a list of a specified column of a Pandas DataFrame<\/h2>\n<p><strong>Pandas to_list: <\/strong>This article is all about how to get a list of a specified column of a Pandas DataFrame using different methods.<\/p>\n<p>Lets create a dataframe which we will use in this article.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as pd \r\nstudents = [('juli', 34, 'Sydney', 155),\r\n           ('Ravi', 31, 'Delhi', 177.5),\r\n           ('Aaman', 16, 'Mumbai', 81),\r\n           ('Mohit', 31, 'Delhi', 167),\r\n           ('Veena', 12, 'Delhi', 144),\r\n           ('Shan', 35, 'Mumbai', 135),\r\n           ('Sradha', 35, 'Colombo', 111)\r\n           ]\r\n\r\nstudent_df = pd.DataFrame(students, columns=['Name', 'Age', 'City', 'Score'])\r\nprint(student_df)\r\n<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>        Name\u00a0 \u00a0 Age\u00a0 \u00a0City\u00a0 \u00a0 \u00a0 \u00a0 \u00a0    Score\r\n0\u00a0 \u00a0 \u00a0 Julie\u00a0 \u00a0 \u00a0 34\u00a0 \u00a0 \u00a0Sydney\u00a0 \u00a0      155.0\r\n1\u00a0 \u00a0 \u00a0Ravi\u00a0 \u00a0 \u00a0 \u00a031\u00a0 \u00a0 \u00a0 Delhi\u00a0 \u00a0 \u00a0       177.5\r\n2\u00a0 \u00a0 \u00a0Aman\u00a0 \u00a0 16\u00a0   \u00a0Mumbai\u00a0 \u00a0 \u00a0    81.0\r\n3\u00a0 \u00a0 \u00a0Mohit\u00a0 \u00a0 31\u00a0 \u00a0 \u00a0Delhi\u00a0 \u00a0 \u00a0 \u00a0      167.0\r\n4\u00a0 \u00a0 \u00a0Veena\u00a0 \u00a0 12\u00a0 \u00a0 \u00a0Delhi\u00a0 \u00a0 \u00a0 \u00a0      144.0\r\n5\u00a0 \u00a0 \u00a0 Shan\u00a0 \u00a0 \u00a035\u00a0 \u00a0 Mumbai\u00a0 \u00a0      135.0\r\n6\u00a0 \u00a0 \u00a0Sradha\u00a0 \u00a035\u00a0  Colombo\u00a0 \u00a0     111.0\r\n\r\n<\/pre>\n<ul>\n<li><a href=\"https:\/\/btechgeeks.com\/pandas-select-first-or-last-n-rows-in-a-dataframe-using-head-tail\/\">Pandas: Select first or last N rows in a Dataframe using head() &amp; tail()<\/a><\/li>\n<li><a href=\"https:\/\/btechgeeks.com\/get-rows-and-columns-names-in-dataframe-using-python\/\">Get Rows And Columns Names In Dataframe Using Python<\/a><\/li>\n<li><a href=\"https:\/\/btechgeeks.com\/pandas-convert-a-dataframe-into-a-list-of-rows-or-columns-in-python-list-of-lists\/\">Pandas : Convert a DataFrame into a list of rows or columns in python | (list of lists)<\/a><\/li>\n<\/ul>\n<p>Now we are going to fetch a single column<\/p>\n<p>There are different ways to do that.<\/p>\n<h3>using Series.to_list()<\/h3>\n<p><strong>Numpy ndarray to dataframe: <\/strong>We will use the same example we use above in this article.We select the column &#8216;Name&#8217; .We will use [] that gives a series object.<code class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">Series.to_list() <\/code>\u00a0this function we use provided by the Series class to convert the series object and return a list.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as pd \r\nstudents = [('juli', 34, 'Sydney', 155),\r\n           ('Ravi', 31, 'Delhi', 177.5),\r\n           ('Aaman', 16, 'Mumbai', 81),\r\n           ('Mohit', 31, 'Delhi', 167),\r\n           ('Veena', 12, 'Delhi', 144),\r\n           ('Shan', 35, 'Mumbai', 135),\r\n           ('Sradha', 35, 'Colombo', 111)\r\n           ]\r\n\r\nstudent_df = pd.DataFrame(students, columns=['Name', 'Age', 'City', 'Score'])\r\nlist_of_names = student_df['Name'].to_list()\r\nprint('List of Names: ', list_of_names)\r\nprint('Type of listOfNames: ', type(list_of_names))\r\n<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>RESTART: C:\/Users\/HP\/Desktop\/article2.py\r\nList of Names: ['juli', 'Ravi', 'Aaman', 'Mohit', 'Veena', 'Shan', 'Sradha']\r\nType of listOfNames: &lt;class 'list'&gt;\r\n<\/pre>\n<p>So in above example you have seen its working&#8230;let me explain in brief..<\/p>\n<p>We have first select the column \u2018<em>Name<\/em>\u2019 from the dataframe using [] operator,it returns a series object names, and we have confirmed that by printing its type.<\/p>\n<p>We used [] operator that gives a series object.<code class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">Series.to_list() <\/code>\u00a0this function we use provided by the series class to convert the series object and return a list.<\/p>\n<p>This is how we converted a dataframe column into a list.<\/p>\n<h3>using numpy.ndarray.tolist()<\/h3>\n<p>From the give dataframe we will select the column \u201cName\u201d using a [] operator that returns a Series object and uses<\/p>\n<p>Series.Values to get a NumPy array from the series object. Next, we will use the function tolist() provided by NumPy array to convert it to a list.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd \r\nstudents = [('juli', 34, 'Sydney', 155),\r\n           ('Ravi', 31, 'Delhi', 177.5),\r\n           ('Aaman', 16, 'Mumbai', 81),\r\n           ('Mohit', 31, 'Delhi', 167),\r\n           ('Veena', 12, 'Delhi', 144),\r\n           ('Shan', 35, 'Mumbai', 135),\r\n           ('Sradha', 35, 'Colombo', 111)\r\n           ]\r\n\r\nstudent_df = pd.DataFrame(students, columns=['Name', 'Age', 'City', 'Score'])\r\nlist_of_names = student_df['Name'].values.tolist()\r\nprint('List of Names: ', list_of_names)\r\nprint('Type of listOfNames: ', type(list_of_names))\r\n\r\n<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>RESTART: C:\/Users\/HP\/Desktop\/article2.py\r\nList of Names: ['juli', 'Ravi', 'Aaman', 'Mohit', 'Veena', 'Shan', 'Sradha']\r\nType of listOfNames: &lt;class 'list'&gt;\r\n&gt;&gt;&gt;\r\n\r\n<\/pre>\n<p>So now we are going to show you its working,<\/p>\n<p>We converted the column \u2018Name\u2019 into a list in a single line.Select the column \u2018Name\u2019 from the dataframe using [] operator,<\/p>\n<p>From Series.Values get a Numpy array<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd \r\nstudents = [('juli', 34, 'Sydney', 155),\r\n           ('Ravi', 31, 'Delhi', 177.5),\r\n           ('Aaman', 16, 'Mumbai', 81),\r\n           ('Mohit', 31, 'Delhi', 167),\r\n           ('Veena', 12, 'Delhi', 144),\r\n           ('Shan', 35, 'Mumbai', 135),\r\n           ('Sradha', 35, 'Colombo', 111)\r\n           ]\r\n\r\nstudent_df = pd.DataFrame(students, columns=['Name', 'Age', 'City', 'Score'])\r\nnames = student_df['Name'].values\r\nprint('Numpy array: ', names)\r\nprint('Type of namesAsNumpy: ', type(names))<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>Numpy array: ['juli' 'Ravi' 'Aaman' 'Mohit' 'Veena' 'Shan' 'Sradha']\r\nType of namesAsNumpy: &lt;class 'numpy.ndarray'&gt;\r\n<\/pre>\n<p>Numpy array provides a function tolist() to convert its contents to a list.<\/p>\n<p>This is how we selected our column \u2018Name\u2019 from Dataframe as a Numpy array and then turned it to a list.<\/p>\n<p><strong>Conclusion:<\/strong><\/p>\n<p>In this article i have shown you that how to get a list of a specified column of a Pandas DataFrame using different methods.Enjoy learning guys.Thank you!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Get a list of a specified column of a Pandas DataFrame Pandas to_list: This article is all about how to get a list of a specified column of a Pandas DataFrame using different methods. Lets create a dataframe which we will use in this article. import pandas as pd students = [(&#8216;juli&#8217;, 34, &#8216;Sydney&#8217;, 155), &#8230; <a title=\"Pandas to_list &#8211; Pandas: Convert a dataframe column into a list using Series.to_list() or numpy.ndarray.tolist() in python\" class=\"read-more\" href=\"https:\/\/btechgeeks.com\/pandas-convert-a-dataframe-column-into-a-list-using-series-to_list-or-numpy-ndarray-tolist-in-python\/\" aria-label=\"More on Pandas to_list &#8211; Pandas: Convert a dataframe column into a list using Series.to_list() or numpy.ndarray.tolist() in python\">Read more<\/a><\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spay_email":""},"categories":[5],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v17.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas to_list - Pandas: Convert a dataframe column into a list using Series.to_list() or numpy.ndarray.tolist() in python - BTech Geeks<\/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:\/\/btechgeeks.com\/pandas-convert-a-dataframe-column-into-a-list-using-series-to_list-or-numpy-ndarray-tolist-in-python\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas to_list - Pandas: Convert a dataframe column into a list using Series.to_list() or numpy.ndarray.tolist() in python - BTech Geeks\" \/>\n<meta property=\"og:description\" content=\"Get a list of a specified column of a Pandas DataFrame Pandas to_list: This article is all about how to get a list of a specified column of a Pandas DataFrame using different methods. 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Lets create a dataframe which we will use in this article. import pandas as pd students = [('juli', 34, 'Sydney', 155), ... 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