{"id":8493,"date":"2023-05-06T18:29:26","date_gmt":"2023-05-06T18:29:26","guid":{"rendered":"https:\/\/www.jquery-az.com\/?p=8493"},"modified":"2023-05-06T18:29:26","modified_gmt":"2023-05-06T18:29:26","slug":"pandas-data-frame-insert-method","status":"publish","type":"post","link":"https:\/\/www.jquery-az.com\/pandas-data-frame-insert-method\/","title":{"rendered":"Pandas Data Frame Insert Method"},"content":{"rendered":"<h3><strong>Pandas Data Frame Insert method <\/strong><\/h3>\n<p>The data frame insert method is used to add a new column at the specified position in a data frame.<\/p>\n<p>If a newly added column name already exists then an error occurs.<\/p>\n<p>In order to add a duplicate column, you may use the <strong>allow_duplicate= True<\/strong><\/p>\n<h3><strong>Syntax of insert method<\/strong><\/h3>\n<blockquote><p>DataFrame.insert(loc, column, value, allow_duplicates=_NoDefault.no_default)<\/p><\/blockquote>\n<h3><strong>An example of the insert to add a new column<\/strong><\/h3>\n<p>For our examples, we have the following data frame created by using this Python program:<\/p>\n<p><strong>Code:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as pd\r\n\r\ninflation_data = {\r\n\r\n\u00a0 \"Year\": [2015, 2016, 2016, 2017],\r\n\r\n\u00a0 \"Inflation\": ['1.75%', '2%', '3%', '3.5%']\r\n\r\n}\r\n\r\n\r\n#Creating a Data frame with two columns\r\n\r\ndf_inf = pd.DataFrame(inflation_data)\r\n\r\n\r\n#Display Data Frame\r\n\r\nprint(df_inf)<\/pre>\n<p><strong>Data Frame:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"raw\">\u00a0\u00a0 Year Inflation\r\n\r\n0\u00a0 2015\u00a0\u00a0\u00a0\u00a0 1.75%\r\n\r\n1\u00a0 2016\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 2%\r\n\r\n2\u00a0 2016\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 3%\r\n\r\n3\u00a0 2017\u00a0\u00a0\u00a0\u00a0\u00a0 3.5%<\/pre>\n<p>In the example below, we will only use three arguments in the insert method.<\/p>\n<p>The first argument specifies the position \u2013 where to add the column.<\/p>\n<p>It\u2019s a <strong>0-based<\/strong> index, so we provided 2 to add the column after the ID column.<\/p>\n<p>Then we provided the column name and the last argument contains the values for the new column.<\/p>\n<p><strong>Python program:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as pd\r\n\r\ninflation_data = {\r\n\r\n\u00a0 \"Year\": [2015, 2016, 2016, 2017],\r\n\r\n\u00a0 \"Inflation\": ['1.75%', '2%', '3%', '3.5%']\r\n\r\n}\r\n\r\n\r\n#Creating a Data frame with two columns\r\n\r\ndf_inf = pd.DataFrame(inflation_data)\r\n\r\n\r\n#Adding a new column at second number in the DF\r\n\r\ndf_inf.insert(1, \"Difference\", [0.75, 0.25,1,0.5])\r\n\r\n\r\n#Display Data Frame with new column\r\n\r\nprint(df_inf)<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-8495\" src=\"https:\/\/www.jquery-az.com\/wp-content\/uploads\/2023\/05\/103.1-pandas-df-insert.png\" alt=\"Pandas-df-insert\" width=\"417\" height=\"173\" srcset=\"https:\/\/www.jquery-az.com\/wp-content\/uploads\/2023\/05\/103.1-pandas-df-insert.png 417w, https:\/\/www.jquery-az.com\/wp-content\/uploads\/2023\/05\/103.1-pandas-df-insert-300x124.png 300w, https:\/\/www.jquery-az.com\/wp-content\/uploads\/2023\/05\/103.1-pandas-df-insert-415x173.png 415w\" sizes=\"(max-width: 417px) 100vw, 417px\" \/><\/p>\n<p>You can see, the Difference column is added after the first column \u201cYear\u201d.<\/p>\n<h3><strong>The example of adding a duplicate column<\/strong><\/h3>\n<p>As mentioned earlier, Python will generate an error if you try adding a column name that already exists. See below where we used the insert method for adding a column \u201cName\u201d in the above-created data frame.<\/p>\n<p><strong>Code:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as pd\r\n\r\n\r\ninflation_data = {\r\n\r\n\u00a0 \"Year\": [2015, 2016, 2016, 2017],\r\n\r\n\u00a0 \"Inflation\": ['1.75%', '2%', '3%', '3.5%']\r\n\r\n}\r\n\r\n\r\n#Creating a Data frame with two columns\r\n\r\ndf_inf = pd.DataFrame(inflation_data)\r\n\r\n\r\n\r\n#Adding a new column at second number that already exist\r\n\r\ndf_inf.insert(1, \"Year\", [2018,2019,2020,2021])\r\n\r\n#Display Data Frame with new column\r\n\r\nprint(df_inf)<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"raw\">\u00a0\u00a0\u00a0 raise ValueError(f\"cannot insert {column}, already exists\")\r\n\r\nValueError: cannot insert Year, already exists<\/pre>\n<p>So, it generated the ValueError.<\/p>\n<h3><strong>Using allow_duplicates in the insert method<\/strong><\/h3>\n<p>In order to allow adding a duplicate column, you may use the <strong>allow_duplicates<\/strong> argument as follows:<\/p>\n<blockquote><p>allow_duplicates = True<\/p><\/blockquote>\n<p>See the same example as above and the output.<\/p>\n<p><strong>Code:<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">import pandas as pd\r\n\r\ninflation_data = {\r\n\r\n\u00a0 \"Year\": [2015, 2016, 2016, 2017],\r\n\r\n\u00a0 \"Inflation\": ['1.75%', '2%', '3%', '3.5%']\r\n\r\n}\r\n\r\n\r\n#Creating a Data frame with two columns\r\n\r\ndf_inf = pd.DataFrame(inflation_data)\r\n\r\n\r\n#Adding a new column at second number that already exist with allow_duplicates=True\r\n\r\ndf_inf.insert(1, \"Year\", [2018,2019,2020, 2021], allow_duplicates=True)\r\n\r\n\r\n#Display Data Frame with new column\r\n\r\nprint(df_inf)<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-8494\" src=\"https:\/\/www.jquery-az.com\/wp-content\/uploads\/2023\/05\/103.2-pandas-df-insert-allo.png\" alt=\"Pandas-df-insert-allow\" width=\"344\" height=\"133\" srcset=\"https:\/\/www.jquery-az.com\/wp-content\/uploads\/2023\/05\/103.2-pandas-df-insert-allo.png 344w, https:\/\/www.jquery-az.com\/wp-content\/uploads\/2023\/05\/103.2-pandas-df-insert-allo-300x116.png 300w\" sizes=\"(max-width: 344px) 100vw, 344px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The data frame insert method is used to add a new column at the specified position in a data frame. 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