{"id":7058,"date":"2023-11-01T15:27:04","date_gmt":"2023-11-01T09:57:04","guid":{"rendered":"https:\/\/python-programs.com\/?p=7058"},"modified":"2023-11-10T12:11:53","modified_gmt":"2023-11-10T06:41:53","slug":"pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python","status":"publish","type":"post","link":"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/","title":{"rendered":"Pandas : Change data type of single or multiple columns of Dataframe in Python"},"content":{"rendered":"<h2>Changeing data type of single or multiple columns of Dataframe in Python<\/h2>\n<p>In this article we will see how we can change the data type of a single or multiple column of Dataframe in Python.<\/p>\n<h3>Change Data Type of a Single Column :<\/h3>\n<p>We will use <code>series.astype()<\/code> to change the data type of columns<\/p>\n<pre><u>Syntax<\/u>:- Series.astype(self, dtype, copy=True, errors='raise', **kwargs)<\/pre>\n<p>where Arguments:<\/p>\n<ul>\n<li><strong>dtype :<\/strong> It is python type to which whole series object will get converted.<\/li>\n<li><strong>errors :<\/strong> It is a way of handling errors, which can be ignore\/ raise and default value is &#8216;raised&#8217;. (<strong>raise-<\/strong> Raise exception in case of invalid parsing , <strong>ignore-<\/strong> Return the input as original in case of invalid parsing<\/li>\n<li><strong>copy :<\/strong> bool (Default value is True) (<strong>If False-<\/strong> Will make change in current object , <strong>If True-<\/strong> Return a copy)<\/li>\n<\/ul>\n<p><strong>Returns:<\/strong> If copy argument is true, new Series object with updated type is returned.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as sc\r\n# List of Tuples\r\nstudents = [('Rohit', 34, 'Swimming', 155) ,\r\n        ('Ritik', 25, 'Cricket' , 179) ,\r\n        ('Salim', 26, 'Music', 187) ,\r\n        ('Rani', 29,'Sleeping' , 154) ,\r\n        ('Sonu', 17, 'Singing' , 184) ,\r\n        ('Madhu', 20, 'Travelling', 165 ),\r\n        ('Devi', 22, 'Art', 141)\r\n        ]\r\n# Create a DataFrame object with different data type of column\r\nstudObj = sc.DataFrame(students, columns=['Name', 'Age', 'Hobby', 'Height'])\r\nprint(studObj)\r\nprint(studObj.dtypes)\r\n<\/pre>\n<pre>Output :\r\nName\u00a0       Age\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Hobby\u00a0        Height\r\n0\u00a0 Rohit\u00a0\u00a0    34\u00a0\u00a0\u00a0     Swimming\u00a0\u00a0\u00a0\u00a0 155\r\n1\u00a0 Ritik\u00a0\u00a0      25\u00a0\u00a0\u00a0\u00a0    Cricket\u00a0\u00a0\u00a0\u00a0      179\r\n2\u00a0 Salim\u00a0\u00a0    26\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0  Music\u00a0\u00a0\u00a0\u00a0        187\r\n3\u00a0\u00a0 Rani\u00a0\u00a0     29\u00a0\u00a0\u00a0    Sleeping\u00a0\u00a0\u00a0\u00a0     154\r\n4\u00a0\u00a0 Sonu\u00a0\u00a0    17\u00a0\u00a0\u00a0\u00a0   Singing\u00a0\u00a0\u00a0\u00a0      184\r\n5\u00a0 Madhu\u00a0\u00a0  20\u00a0      Travelling\u00a0\u00a0\u00a0\u00a0   165\r\n6\u00a0\u00a0 Devi\u00a0\u00a0     22\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Art\u00a0\u00a0\u00a0\u00a0            141\r\n\r\nName\u00a0\u00a0\u00a0\u00a0\u00a0 object\r\nAge\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0   int64\r\nHobby\u00a0\u00a0\u00a0\u00a0 object\r\nHeight\u00a0\u00a0\u00a0\u00a0 int64\r\ndtype:      object<\/pre>\n<h3>Change data type of a column from int64 to float64 :<\/h3>\n<p>We can change data type of a column a column e.g.\u00a0 Let&#8217;s try changing data type of &#8216;Age&#8217; column from int64 to float64. For this we have to write Float64 in <code>astype()<\/code> which will get reflected in dataframe.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as sc\r\n# List of Tuples\r\nstudents = [('Rohit', 34, 'Swimming', 155) ,\r\n        ('Ritik', 25, 'Cricket' , 179) ,\r\n        ('Salim', 26, 'Music', 187) ,\r\n        ('Rani', 29,'Sleeping' , 154) ,\r\n        ('Sonu', 17, 'Singing' , 184) ,\r\n        ('Madhu', 20, 'Travelling', 165 ),\r\n        ('Devi', 22, 'Art', 141)\r\n        ]\r\n# Create a DataFrame object with different datatype of column\r\nstudObj = sc.DataFrame(students, columns=['Name', 'Age', 'Hobby', 'Height'])\r\n# Change data type of column 'Age' to float64\r\nstudObj['Age'] = studObj['Age'].astype('float64')\r\nprint(studObj)\r\nprint(studObj.dtypes)\r\n<\/pre>\n<pre>Output :\r\nName\u00a0\u00a0 Age\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Hobby\u00a0 Height\r\n0\u00a0 Rohit\u00a0 34.0\u00a0\u00a0\u00a0 Swimming\u00a0\u00a0\u00a0\u00a0 155\r\n1\u00a0 Ritik\u00a0 25.0\u00a0\u00a0\u00a0\u00a0 Cricket\u00a0\u00a0\u00a0\u00a0 179\r\n2\u00a0 Salim\u00a0 26.0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Music\u00a0\u00a0\u00a0\u00a0 187\r\n3\u00a0\u00a0 Rani\u00a0 29.0\u00a0\u00a0\u00a0 Sleeping\u00a0\u00a0\u00a0\u00a0 154\r\n4\u00a0\u00a0 Sonu\u00a0 17.0\u00a0\u00a0\u00a0\u00a0 Singing\u00a0\u00a0\u00a0\u00a0 184\r\n5\u00a0 Madhu\u00a0 20.0\u00a0 Travelling\u00a0\u00a0\u00a0\u00a0 165\r\n6\u00a0\u00a0 Devi\u00a0 22.0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Art\u00a0\u00a0\u00a0\u00a0 141\r\nName\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 object\r\nAge\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0     float64\r\nHobby\u00a0\u00a0\u00a0\u00a0\u00a0 object\r\nHeight\u00a0\u00a0\u00a0\u00a0\u00a0 int64\r\ndtype: object<\/pre>\n<h3>Change data type of a column from int64 to string :<\/h3>\n<p>Let&#8217;s try to change the data type of &#8216;Height&#8217; column to string i.e. Object type. As we know by default value of astype() was True, so it returns a copy of passed series with changed Data type which will be assigned to <code>studObj['Height'].<\/code><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as sc\r\n# List of Tuples\r\nstudents = [('Rohit', 34, 'Swimming', 155) ,\r\n        ('Ritik', 25, 'Cricket' , 179) ,\r\n        ('Salim', 26, 'Music', 187) ,\r\n        ('Rani', 29,'Sleeping' , 154) ,\r\n        ('Sonu', 17, 'Singing' , 184) ,\r\n        ('Madhu', 20, 'Travelling', 165 ),\r\n        ('Devi', 22, 'Art', 141)\r\n        ]\r\nstudObj = sc.DataFrame(students, columns=['Name', 'Age', 'Hobby', 'Height'])\r\n# Change data type of column 'Marks' from int64 to float64\r\nstudObj['Age'] = studObj['Age'].astype('float64')\r\n# Change data type of column 'Marks' from int64 to Object type or string\r\nstudObj['Height'] = studObj['Height'].astype('object')\r\nprint(studObj)\r\nprint(studObj.dtypes)\r\n<\/pre>\n<pre>Output :\r\nName\u00a0\u00a0 Age\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Hobby Height\r\n0\u00a0 Rohit\u00a0 34.0\u00a0\u00a0\u00a0 Swimming\u00a0\u00a0\u00a0 155\r\n1\u00a0 Ritik\u00a0 25.0\u00a0\u00a0\u00a0\u00a0 Cricket\u00a0\u00a0\u00a0 179\r\n2\u00a0 Salim\u00a0 26.0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Music\u00a0\u00a0\u00a0 187\r\n3\u00a0\u00a0 Rani\u00a0 29.0\u00a0\u00a0\u00a0 Sleeping\u00a0\u00a0\u00a0 154\r\n4\u00a0\u00a0 Sonu\u00a0 17.0\u00a0\u00a0\u00a0\u00a0 Singing\u00a0\u00a0\u00a0 184\r\n5\u00a0 Madhu\u00a0 20.0\u00a0 Travelling\u00a0\u00a0\u00a0 165\r\n6\u00a0\u00a0 Devi\u00a0 22.0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Art\u00a0\u00a0\u00a0 141\r\nName\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 object\r\nAge\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0     float64\r\nHobby\u00a0\u00a0\u00a0\u00a0\u00a0 object\r\nHeight\u00a0\u00a0\u00a0\u00a0 object\r\ndtype: object<\/pre>\n<h3>Change Data Type of Multiple Columns in Dataframe :<\/h3>\n<p>To change the datatype of multiple column in Dataframe we will use <code>DataFeame.astype()<\/code> which can be applied for whole dataframe or selected columns.<\/p>\n<pre>Synatx:- DataFrame.astype(self, dtype, copy=True, errors='raise', **kwargs)<\/pre>\n<p>Arguments:<\/p>\n<ul>\n<li><strong>dtype<\/strong> : It is python type to which whole series object will get converted. (Dictionary of column names and data types where given colum will be converted to corrresponding types.)<\/li>\n<li><strong>errors<\/strong> : It is a way of handling errors, which can be ignore\/ raise and default value is &#8216;raised&#8217;.<\/li>\n<li><strong>raise<\/strong> : Raise exception in case of invalid parsing<\/li>\n<li><strong>ignore<\/strong> : Return the input as original in case of invalid parsing<\/li>\n<li><strong>copy<\/strong> : bool (Default value is True) (<strong>If False-<\/strong> Will make change in current object , <strong>If True-<\/strong> Return a copy)<\/li>\n<\/ul>\n<p><strong>Returns:<\/strong> If copy argument is true, new Series object with updated type is returned.<\/p>\n<h3>Change Data Type of two Columns at same time :<\/h3>\n<p>Let&#8217;s try to convert columns &#8216;Age&#8217; &amp; &#8216;Height of int64 data type to float64 &amp; string respectively. We will pass a Dictionary to <code>Dataframe.astype()<\/code> where it contain column name as keys and new data type as values.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as sc\r\n# List of Tuples\r\nstudents = [('Rohit', 34, 'Swimming', 155) ,\r\n        ('Ritik', 25, 'Cricket' , 179) ,\r\n        ('Salim', 26, 'Music', 187) ,\r\n        ('Rani', 29,'Sleeping' , 154) ,\r\n        ('Sonu', 17, 'Singing' , 184) ,\r\n        ('Madhu', 20, 'Travelling', 165 ),\r\n        ('Devi', 22, 'Art', 141)\r\n        ]\r\n# Create a DataFrame object with different datatype of column\r\nstudObj = sc.DataFrame(students, columns=['Name', 'Age', 'Hobby', 'Height'])\r\n# Convert the data type of column Age to float64 &amp; column Marks to string\r\nstudObj = studObj.astype({'Age': 'float64', 'Height': 'object'})\r\nprint(studObj)\r\nprint(studObj.dtypes)\r\n<\/pre>\n<pre>Output :\r\nName\u00a0\u00a0 Age\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Hobby Height\r\n0\u00a0 Rohit\u00a0 34.0\u00a0\u00a0\u00a0 Swimming\u00a0\u00a0\u00a0 155\r\n1\u00a0 Ritik\u00a0 25.0\u00a0\u00a0\u00a0\u00a0 Cricket\u00a0\u00a0\u00a0 179\r\n2\u00a0 Salim\u00a0 26.0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Music\u00a0\u00a0\u00a0 187\r\n3\u00a0\u00a0 Rani\u00a0 29.0\u00a0\u00a0\u00a0 Sleeping\u00a0\u00a0\u00a0 154\r\n4\u00a0\u00a0 Sonu\u00a0 17.0\u00a0\u00a0\u00a0\u00a0 Singing\u00a0\u00a0\u00a0 184\r\n5  Madhu\u00a0 20.0\u00a0 Travelling\u00a0\u00a0\u00a0 165\r\n6\u00a0\u00a0 Devi\u00a0 22.0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Art\u00a0\u00a0\u00a0 141\r\nName\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 object\r\nAge\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0     float64\r\nHobby\u00a0\u00a0\u00a0\u00a0\u00a0 object\r\nHeight\u00a0\u00a0\u00a0\u00a0 object\r\ndtype: object<\/pre>\n<h3>Handle errors while converting Data Types of Columns :<\/h3>\n<p>Using <code>astype()<\/code> to convert either a column or multiple column we can&#8217;t pass the content which can&#8217;t be typecasted. Otherwise error will be produced.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as sc\r\n# List of Tuples\r\nstudents = [('Rohit', 34, 'Swimming', 155) ,\r\n        ('Ritik', 25, 'Cricket' , 179) ,\r\n        ('Salim', 26, 'Music', 187) ,\r\n        ('Rani', 29,'Sleeping' , 154) ,\r\n        ('Sonu', 17, 'Singing' , 184) ,\r\n        ('Madhu', 20, 'Travelling', 165 ),\r\n        ('Devi', 22, 'Art', 141)\r\n        ]\r\n# Create a DataFrame object with different datatype of column\r\nstudObj = sc.DataFrame(students, columns=['Name', 'Age', 'Hobby', 'Height'])\r\n# Trying to change dataype of a column with unknown dataype\r\ntry:\r\n        studObj['Name'] = studObj['Name'].astype('xyz')\r\nexcept TypeError as ex:\r\n        print(ex)\r\n\r\n<\/pre>\n<pre>Output :\r\ndata type \"xyz\" not understood<\/pre>\n<p>Want to expert in the python programming language? Exploring\u00a0<a href=\"https:\/\/python-programs.com\/python-data-analysis-using-pandas\/\">Python Data Analysis using Pandas<\/a>\u00a0tutorial changes your knowledge from basic to advance level in python concepts.<\/p>\n<p><strong>Read more Articles on Python Data Analysis Using Padas \u2013 Modify a Dataframe<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/python-programs.com\/pandas-apply-apply-a-function-to-each-row-column-in-dataframe\/\">pandas.apply(): Apply a function to each row\/column in Dataframe<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/pandas-sort-rows-or-columns-in-dataframe-based-on-values-using-dataframe-sort_values\/\">Pandas: Sort rows or columns in Dataframe based on values using Dataframe.sort_values()<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/pandas-apply-a-function-to-single-or-selected-columns-or-rows-in-dataframe\/\">Apply a function to single or selected columns or rows in Dataframe<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/pandas-sort-a-dataframe-based-on-column-names-or-row-index-labels-using-dataframe-sort_index\/\">Sort a DataFrame based on column names or row index labels using Dataframe.sort_index() in Pandas<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/python-pandas-replace-or-change-column-row-index-names-in-dataframe\/\">Change Column &amp; Row names in DataFrame<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/how-to-convert-dataframe-column-type-from-string-to-date-time\/\">Convert Dataframe column type from string to date time<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/convert-pandas-dataframe-column-into-an-index-using-set_index-in-python\/\">Convert Dataframe column into to the Index of Dataframe<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/pandas-convert-data-frame-index-into-column-using-dataframe-reset_index-in-python\/\">Convert Dataframe indexes into columns<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Changeing data type of single or multiple columns of Dataframe in Python In this article we will see how we can change the data type of a single or multiple column of Dataframe in Python. Change Data Type of a Single Column : We will use series.astype() to change the data type of columns Syntax:- &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/\"> <span class=\"screen-reader-text\">Pandas : Change data type of single or multiple columns of Dataframe in Python<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":9,"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>Pandas : Change data type of single or multiple columns of Dataframe in Python - 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\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas : Change data type of single or multiple columns of Dataframe in Python - Python Programs\" \/>\n<meta property=\"og:description\" content=\"Changeing data type of single or multiple columns of Dataframe in Python In this article we will see how we can change the data type of a single or multiple column of Dataframe in Python. Change Data Type of a Single Column : We will use series.astype() to change the data type of columns Syntax:- &hellip; Pandas : Change data type of single or multiple columns of Dataframe in Python Read More &raquo;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/\" \/>\n<meta property=\"og:site_name\" content=\"Python Programs\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/btechgeeks\" \/>\n<meta property=\"article:published_time\" content=\"2023-11-01T09:57:04+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-10T06:41:53+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@btech_geeks\" \/>\n<meta name=\"twitter:site\" content=\"@btech_geeks\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Satyabrata Jena\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Organization\",\"@id\":\"https:\/\/python-programs.com\/#organization\",\"name\":\"BTech Geeks\",\"url\":\"https:\/\/python-programs.com\/\",\"sameAs\":[\"https:\/\/www.instagram.com\/btechgeeks\/\",\"https:\/\/www.linkedin.com\/in\/btechgeeks\",\"https:\/\/in.pinterest.com\/btechgeek\/\",\"https:\/\/www.youtube.com\/channel\/UC9MlCqdJ3lKqz2p5114SDIg\",\"https:\/\/www.facebook.com\/btechgeeks\",\"https:\/\/twitter.com\/btech_geeks\"],\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/python-programs.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/python-programs.com\/wp-content\/uploads\/2020\/11\/BTechGeeks.png\",\"contentUrl\":\"https:\/\/python-programs.com\/wp-content\/uploads\/2020\/11\/BTechGeeks.png\",\"width\":350,\"height\":70,\"caption\":\"BTech Geeks\"},\"image\":{\"@id\":\"https:\/\/python-programs.com\/#\/schema\/logo\/image\/\"}},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/python-programs.com\/#website\",\"url\":\"https:\/\/python-programs.com\/\",\"name\":\"Python Programs\",\"description\":\"Python Programs with Examples, How To Guides on Python\",\"publisher\":{\"@id\":\"https:\/\/python-programs.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/python-programs.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#webpage\",\"url\":\"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/\",\"name\":\"Pandas : Change data type of single or multiple columns of Dataframe in Python - Python Programs\",\"isPartOf\":{\"@id\":\"https:\/\/python-programs.com\/#website\"},\"datePublished\":\"2023-11-01T09:57:04+00:00\",\"dateModified\":\"2023-11-10T06:41:53+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/python-programs.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Pandas : Change data type of single or multiple columns of Dataframe in Python\"}]},{\"@type\":\"Article\",\"@id\":\"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#webpage\"},\"author\":{\"@id\":\"https:\/\/python-programs.com\/#\/schema\/person\/0f6d731bda7051ce3586f71299f391cd\"},\"headline\":\"Pandas : Change data type of single or multiple columns of Dataframe in Python\",\"datePublished\":\"2023-11-01T09:57:04+00:00\",\"dateModified\":\"2023-11-10T06:41:53+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#webpage\"},\"wordCount\":579,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/python-programs.com\/#organization\"},\"articleSection\":[\"Python\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#respond\"]}]},{\"@type\":\"Person\",\"@id\":\"https:\/\/python-programs.com\/#\/schema\/person\/0f6d731bda7051ce3586f71299f391cd\",\"name\":\"Satyabrata Jena\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/python-programs.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/c1bf8033ec357d085f41815bee1625cc?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/c1bf8033ec357d085f41815bee1625cc?s=96&d=mm&r=g\",\"caption\":\"Satyabrata Jena\"},\"url\":\"https:\/\/python-programs.com\/author\/satyabrata\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Pandas : Change data type of single or multiple columns of Dataframe in Python - Python Programs","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:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/","og_locale":"en_US","og_type":"article","og_title":"Pandas : Change data type of single or multiple columns of Dataframe in Python - Python Programs","og_description":"Changeing data type of single or multiple columns of Dataframe in Python In this article we will see how we can change the data type of a single or multiple column of Dataframe in Python. Change Data Type of a Single Column : We will use series.astype() to change the data type of columns Syntax:- &hellip; Pandas : Change data type of single or multiple columns of Dataframe in Python Read More &raquo;","og_url":"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/","og_site_name":"Python Programs","article_publisher":"https:\/\/www.facebook.com\/btechgeeks","article_published_time":"2023-11-01T09:57:04+00:00","article_modified_time":"2023-11-10T06:41:53+00:00","twitter_card":"summary_large_image","twitter_creator":"@btech_geeks","twitter_site":"@btech_geeks","twitter_misc":{"Written by":"Satyabrata Jena","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Organization","@id":"https:\/\/python-programs.com\/#organization","name":"BTech Geeks","url":"https:\/\/python-programs.com\/","sameAs":["https:\/\/www.instagram.com\/btechgeeks\/","https:\/\/www.linkedin.com\/in\/btechgeeks","https:\/\/in.pinterest.com\/btechgeek\/","https:\/\/www.youtube.com\/channel\/UC9MlCqdJ3lKqz2p5114SDIg","https:\/\/www.facebook.com\/btechgeeks","https:\/\/twitter.com\/btech_geeks"],"logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/python-programs.com\/#\/schema\/logo\/image\/","url":"https:\/\/python-programs.com\/wp-content\/uploads\/2020\/11\/BTechGeeks.png","contentUrl":"https:\/\/python-programs.com\/wp-content\/uploads\/2020\/11\/BTechGeeks.png","width":350,"height":70,"caption":"BTech Geeks"},"image":{"@id":"https:\/\/python-programs.com\/#\/schema\/logo\/image\/"}},{"@type":"WebSite","@id":"https:\/\/python-programs.com\/#website","url":"https:\/\/python-programs.com\/","name":"Python Programs","description":"Python Programs with Examples, How To Guides on Python","publisher":{"@id":"https:\/\/python-programs.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/python-programs.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#webpage","url":"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/","name":"Pandas : Change data type of single or multiple columns of Dataframe in Python - Python Programs","isPartOf":{"@id":"https:\/\/python-programs.com\/#website"},"datePublished":"2023-11-01T09:57:04+00:00","dateModified":"2023-11-10T06:41:53+00:00","breadcrumb":{"@id":"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/python-programs.com\/"},{"@type":"ListItem","position":2,"name":"Pandas : Change data type of single or multiple columns of Dataframe in Python"}]},{"@type":"Article","@id":"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#article","isPartOf":{"@id":"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#webpage"},"author":{"@id":"https:\/\/python-programs.com\/#\/schema\/person\/0f6d731bda7051ce3586f71299f391cd"},"headline":"Pandas : Change data type of single or multiple columns of Dataframe in Python","datePublished":"2023-11-01T09:57:04+00:00","dateModified":"2023-11-10T06:41:53+00:00","mainEntityOfPage":{"@id":"https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#webpage"},"wordCount":579,"commentCount":0,"publisher":{"@id":"https:\/\/python-programs.com\/#organization"},"articleSection":["Python"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/python-programs.com\/pandas-change-data-type-of-single-or-multiple-columns-of-dataframe-in-python\/#respond"]}]},{"@type":"Person","@id":"https:\/\/python-programs.com\/#\/schema\/person\/0f6d731bda7051ce3586f71299f391cd","name":"Satyabrata Jena","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/python-programs.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/c1bf8033ec357d085f41815bee1625cc?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/c1bf8033ec357d085f41815bee1625cc?s=96&d=mm&r=g","caption":"Satyabrata Jena"},"url":"https:\/\/python-programs.com\/author\/satyabrata\/"}]}},"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/python-programs.com\/wp-json\/wp\/v2\/posts\/7058"}],"collection":[{"href":"https:\/\/python-programs.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/python-programs.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/python-programs.com\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/python-programs.com\/wp-json\/wp\/v2\/comments?post=7058"}],"version-history":[{"count":3,"href":"https:\/\/python-programs.com\/wp-json\/wp\/v2\/posts\/7058\/revisions"}],"predecessor-version":[{"id":9101,"href":"https:\/\/python-programs.com\/wp-json\/wp\/v2\/posts\/7058\/revisions\/9101"}],"wp:attachment":[{"href":"https:\/\/python-programs.com\/wp-json\/wp\/v2\/media?parent=7058"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/python-programs.com\/wp-json\/wp\/v2\/categories?post=7058"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/python-programs.com\/wp-json\/wp\/v2\/tags?post=7058"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}