{"id":5346,"date":"2021-08-19T13:54:51","date_gmt":"2021-08-19T08:24:51","guid":{"rendered":"https:\/\/python-programs.com\/?p=5346"},"modified":"2021-11-22T18:39:34","modified_gmt":"2021-11-22T13:09:34","slug":"pandas-skip-rows-while-reading-csv-file-to-a-dataframe-using-read_csv-in-python","status":"publish","type":"post","link":"https:\/\/python-programs.com\/pandas-skip-rows-while-reading-csv-file-to-a-dataframe-using-read_csv-in-python\/","title":{"rendered":"Pandas: skip rows while reading csv file to a Dataframe using read_csv() in Python"},"content":{"rendered":"<p>In this tutorial, we will discuss how to skip rows while reading a csv file to a Dataframe using a<code>read_csv()<\/code>method of Pandas library in Python. If you want you can learn more about the read_csv() method along with syntax, parameters, and various methods to skip rows while reading specific rows from csv in python pandas<\/p>\n<ul>\n<li><a href=\"#How_to_skip_rows_while_reading_CSV_file_using_Pandas?\">How to skip rows while reading CSV file using Pandas?<\/a><\/li>\n<li><a href=\"#Method_1:_Skipping_N_rows_from_the_starting_while_reading_a_csv_file\">Method 1: Skipping N rows from the starting while reading a csv file<\/a><\/li>\n<li><a href=\"#Method_2:_Skipping_rows_at_specific_index_positions_while_reading_a_csv_file_to_Dataframe\">Method 2: Skipping rows at specific index positions while reading a csv file to Dataframe<\/a><\/li>\n<li><a href=\"#Skipping_N_rows_from_top_except_header_while_reading_a_csv_file_to_Dataframe\">Skipping N rows from top except header while reading a csv file to Dataframe<\/a><\/li>\n<li><a href=\"#Skip_rows_from_based_on_condition_while_reading_a_csv_file_to_Dataframe\">Skip rows from based on condition while reading a csv file to Dataframe<\/a><\/li>\n<li><a href=\"#Skip_N_rows_from_bottom\/footer_while_reading_a_csv_file_to_Dataframe\">Skip N rows from bottom\/footer while reading a csv file to Dataframe<\/a><\/li>\n<\/ul>\n<h2><a id=\"How_to_skip_rows_while_reading_CSV_file_using_Pandas?\"><\/a>How to skip rows while reading CSV file using Pandas?<\/h2>\n<p>Python is a very useful language in today&#8217;s time, its also very useful for data analysis because of the different python packages. Python panda\u2019s library implements a function to read a csv file and load data to dataframe quickly and also skip specified lines from csv file. Here we will use the<code>read_csv()<\/code>method of Pandas to skip n rows. i.e.,<\/p>\n<p><code class=\"EnlighterJSRAW\" data-enlighter-language=\"python\">pandas.read_csv(filepath_or_buffer, skiprows=N, ....)<\/code><\/p>\n<h3>Parameters:<\/h3>\n<table border=\"1\">\n<thead>\n<tr>\n<th>Parameter<\/th>\n<th>Use<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>filepath_or_buffer<\/td>\n<td>URL or Dir location of file<\/td>\n<\/tr>\n<tr>\n<td>sep<\/td>\n<td>Stands for separator, default is \u2018, \u2018 as in csv(comma separated values)<\/td>\n<\/tr>\n<tr>\n<td>index_col<\/td>\n<td>This parameter is used to make the passed column as index instead of 0, 1, 2, 3\u2026r<\/td>\n<\/tr>\n<tr>\n<td>header<\/td>\n<td>This parameter is use to make passed row\/s[int\/int list] as header<\/td>\n<\/tr>\n<tr>\n<td>use_cols<\/td>\n<td>This parameter is only used the passed col[string list] to make a data frame<\/td>\n<\/tr>\n<tr>\n<td>squeeze<\/td>\n<td>If True and only one column is passed then returns pandas series<\/td>\n<\/tr>\n<tr>\n<td>skiprows<\/td>\n<td>This parameter is used to skip passed rows in a new data frame<\/td>\n<\/tr>\n<tr>\n<td>skipfooter<\/td>\n<td>This parameter is used to skip the Number of lines at bottom of the file<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Let&#8217;s, import the pandas&#8217; module in python first:<\/p>\n<p><code class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">Import pandas as pd<\/code><\/p>\n<p>Let&#8217;s see the examples mentioned below and learn the process of Pandas: skip rows while reading csv file to a Dataframe using read_csv() in Python. Now, create one simple CSV file instru.csv<\/p>\n<pre>Name,Age,City\r\nTara,34,Agra\r\nRekha,31,Delhi\r\nAavi,16,Varanasi\r\nSarita,32,Lucknow\r\nMira,33,Punjab\r\nSuri,35,Patna\r\n<\/pre>\n<p><span style=\"color: #ff6600;\">Also Check:<\/span><\/p>\n<ul>\n<li><a href=\"https:\/\/python-programs.com\/pandas-convert-a-dataframe-column-into-a-list-using-series-to_list-or-numpy-ndarray-tolist-in-python\/\">Pandas: Convert a dataframe column into a list using Series.to_list() or numpy.ndarray.tolist() in python<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/python-pandas-select-rows-in-dataframe-by-conditions-on-multiple-columns\/\">Python Pandas: Select Rows in DataFrame by conditions on multiple columns<\/a><\/li>\n<\/ul>\n<p>Let\u2019s load this csv file to a dataframe using read_csv() and skip rows in various ways,<\/p>\n<h3><a id=\"Method_1:_Skipping_N_rows_from_the_starting_while_reading_a_csv_file\"><\/a>Method 1: Skipping N rows from the starting while reading a csv file<\/h3>\n<p>When we pass skiprows=2 it means it will skip those rows while reading csv file. For example, if we want to skip 2 lines from the top while reading<code>users.csv<\/code>file and initializing a dataframe.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\n# Skip 2 rows from top in csv and initialize a dataframe\r\nusersDf = pd.read_csv(\"C:\\\\Users\\HP\\Desktop\\instru.csv\", skiprows=2)\r\nprint('Contents of the Dataframe created by skipping top 2 lines from csv file ')\r\nprint(usersDf)<\/pre>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-18079\" src=\"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/05\/Skipping-N-rows-from-the-starting-while-reading-a-csv-file.png\" alt=\"Skipping N rows from the starting while reading a csv file\" width=\"833\" height=\"312\" srcset=\"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/05\/Skipping-N-rows-from-the-starting-while-reading-a-csv-file.png 833w, https:\/\/python-programs.com\/wp-content\/uploads\/2021\/05\/Skipping-N-rows-from-the-starting-while-reading-a-csv-file-300x112.png 300w, https:\/\/python-programs.com\/wp-content\/uploads\/2021\/05\/Skipping-N-rows-from-the-starting-while-reading-a-csv-file-768x288.png 768w\" sizes=\"(max-width: 833px) 100vw, 833px\" \/><\/p>\n<p><strong>Output:<\/strong><\/p>\n<pre>Contents of the Dataframe created by skipping top 2 lines from csv file\r\n  Rekha 31 Delhi\r\n0 Aavi   16 Varanasi\r\n1 Sarita 32 Lucknow\r\n2 Mira   33 Punjab\r\n3 Suri    35 Patna\r\n<\/pre>\n<h3><a id=\"Method_2:_Skipping_rows_at_specific_index_positions_while_reading_a_csv_file_to_Dataframe\"><\/a>Method 2: Skipping rows at specific index positions while reading a csv file to Dataframe<\/h3>\n<p>For skipping rows at specific index positions we have to give index positions like if we want to skip lines at index 0, 2, and 5 in dataframe &#8216;skiprows=[0,2,5]&#8217;.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\n\r\n# Skip  rows at specific index\r\nusersDf = pd.read_csv(\"C:\\\\Users\\HP\\Desktop\\instru.csv\", skiprows=[0,2,5])\r\nprint('Contents of the Dataframe created by skipping specifying lines from csv file ')\r\nprint(usersDf)\r\n<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>Contents of the Dataframe created by skipping specifying lines from csv file\r\n   Tara    34    Agra\r\n0 Aavi   16     Varanasi\r\n1 Sarita 32    Lucknow\r\n2 Suri    35    Patna\r\n<\/pre>\n<p>It skipped all the lines at index positions 0, 2 &amp; 5 from csv and loaded the remaining rows from csv.<\/p>\n<h3><a id=\"Skipping_N_rows_from_top_except_header_while_reading_a_csv_file_to_Dataframe\"><\/a>Skipping N rows from top except header while reading a csv file to Dataframe<\/h3>\n<p>In the earlier example, we have seen that it removes the header also. In this, we want to remove 2 rows from starting but not the header one.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\n# Skip 2 rows from top except header\r\nusersDf = pd.read_csv(\"C:\\\\Users\\HP\\Desktop\\instru.csv\", skiprows=[i for i in range(1,3)])\r\nprint('Contents of the Dataframe created by skipping 2 rows after header row from csv file ')\r\nprint(usersDf)\r\n<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>Contents of the Dataframe created by skipping 2 rows after header row from csv file\r\n     Name Age City\r\n0   Aavi    16   Varanasi\r\n1  Sarita   32   Lucknow\r\n2  Mira     33   Punjab\r\n3  Suri      35   Patna\r\n<\/pre>\n<h3><a id=\"Skip_rows_from_based_on_condition_while_reading_a_csv_file_to_Dataframe\"><\/a>Skip rows from based on condition while reading a csv file to Dataframe<\/h3>\n<p>Here we will give some specific conditions using the lambda function for skipping rows in the dataframe.<\/p>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-18080\" src=\"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/05\/Skip-rows-from-based-on-condition-while-reading-a-csv-file-to-Dataframe.png\" alt=\"Skip rows from based on condition while reading a csv file to Dataframe\" width=\"884\" height=\"384\" srcset=\"https:\/\/python-programs.com\/wp-content\/uploads\/2021\/05\/Skip-rows-from-based-on-condition-while-reading-a-csv-file-to-Dataframe.png 884w, https:\/\/python-programs.com\/wp-content\/uploads\/2021\/05\/Skip-rows-from-based-on-condition-while-reading-a-csv-file-to-Dataframe-300x130.png 300w, https:\/\/python-programs.com\/wp-content\/uploads\/2021\/05\/Skip-rows-from-based-on-condition-while-reading-a-csv-file-to-Dataframe-768x334.png 768w\" sizes=\"(max-width: 884px) 100vw, 884px\" \/><\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\n\r\ndef logic(index):\r\n    if index % 3 == 0:\r\n       return True\r\n    return False\r\n# Skip rows from based on condition like skip every 3rd line\r\nusersDf = pd.read_csv(\"C:\\\\Users\\HP\\Desktop\\instru.csv\", skiprows= lambda x: logic(x) )\r\nprint('Contents of the Dataframe created by skipping every 3rd row from csv file ')\r\nprint(usersDf)\r\n<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>Contents of the Dataframe created by skipping every 3rd row from csv file\r\n      Tara    34 Agra\r\n0    Rekha 31 Delhi\r\n1    Sarita 32 Lucknow\r\n2    Mira   33 Punjab\r\n<\/pre>\n<h3><a id=\"Skip_N_rows_from_bottom\/footer_while_reading_a_csv_file_to_Dataframe\"><\/a>Skip N rows from bottom\/footer while reading a csv file to Dataframe<\/h3>\n<p>So here we use skipfooter &amp; engine argument in pd.read_csv() to skip n rows from the bottom.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import pandas as pd\r\n\r\n# Skip 2 rows from bottom\r\nusersDf = pd.read_csv(\"C:\\\\Users\\HP\\Desktop\\instru.csv\", skipfooter=2, engine='python')\r\nprint('Contents of the Dataframe created by skipping bottom 2 rows from csv file ')\r\nprint(usersDf)<\/pre>\n<p><strong>Output:<\/strong><\/p>\n<pre>Contents of the Dataframe created by skipping bottom 2 rows from csv file\r\n   Name Age City\r\n0 Tara    34 Agra\r\n1 Rekha 31 Delhi\r\n2 Aavi    16 Varanasi\r\n3 Sarita  32 Lucknow\r\n<\/pre>\n<h3>Conclusion<\/h3>\n<p>In this article, you have learned different ways of how to skip rows while reading csv file to a Dataframe using the Python pandas read_csv() function.<\/p>\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>Similar Tutorials:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/python-programs.com\/python-pandas-how-to-create-dataframe-from-dictionary\/\">How to create DataFrame from a dictionary?<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/pandas-how-to-create-an-empty-dataframe-and-append-rows-columns-to-it-in-python\/\">How to create an empty DataFrame and add data to it later?<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/python-pandas-how-to-convert-lists-to-a-dataframe\/\">How to convert lists to a dataframe?<\/a><\/li>\n<li><a href=\"https:\/\/python-programs.com\/read-csv-file-to-dataframe-with-custom-delimiter-in-python\/\">How to read a csv file to Dataframe with custom delimiter?<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>In this tutorial, we will discuss how to skip rows while reading a csv file to a Dataframe using aread_csv()method of Pandas library in Python. If you want you can learn more about the read_csv() method along with syntax, parameters, and various methods to skip rows while reading specific rows from csv in python pandas &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/python-programs.com\/pandas-skip-rows-while-reading-csv-file-to-a-dataframe-using-read_csv-in-python\/\"> <span class=\"screen-reader-text\">Pandas: skip rows while reading csv file to a Dataframe using read_csv() in Python<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":4,"featured_media":5797,"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: skip rows while reading csv file to a Dataframe using read_csv() 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-skip-rows-while-reading-csv-file-to-a-dataframe-using-read_csv-in-python\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: skip rows while reading csv file to a Dataframe using read_csv() in Python - Python Programs\" \/>\n<meta property=\"og:description\" content=\"In this tutorial, we will discuss how to skip rows while reading a csv file to a Dataframe using aread_csv()method of Pandas library in Python. 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