{"id":200644,"date":"2024-02-01T00:18:55","date_gmt":"2024-02-01T00:18:55","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/"},"modified":"2024-02-01T00:18:55","modified_gmt":"2024-02-01T00:18:55","slug":"how-to-filter-by-column-value-in-pandas","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/","title":{"rendered":"How to filter by column value in Pandas?"},"content":{"rendered":"<p>To filter by column value in Pandas, you can use the syntax `df[df[&#8216;column_name&#8217;] == &#8216;value&#8217;]`. This will return a DataFrame with only the rows where the column matches the specified value.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_62 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/#1_How_can_I_filter_a_DataFrame_by_a_specific_value_in_a_column\" title=\"1. How can I filter a DataFrame by a specific value in a column?\">1. How can I filter a DataFrame by a specific value in a column?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/#2_Can_I_filter_a_DataFrame_based_on_multiple_column_values\" title=\"2. Can I filter a DataFrame based on multiple column values?\">2. Can I filter a DataFrame based on multiple column values?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/#3_Is_it_possible_to_filter_a_DataFrame_by_excluding_certain_values\" title=\"3. Is it possible to filter a DataFrame by excluding certain values?\">3. Is it possible to filter a DataFrame by excluding certain values?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/#4_How_can_I_filter_a_DataFrame_by_comparing_column_values\" title=\"4. How can I filter a DataFrame by comparing column values?\">4. How can I filter a DataFrame by comparing column values?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/#5_Can_I_filter_a_DataFrame_based_on_a_list_of_values\" title=\"5. Can I filter a DataFrame based on a list of values?\">5. Can I filter a DataFrame based on a list of values?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/#6_How_can_I_filter_a_DataFrame_based_on_partial_string_matching\" title=\"6. How can I filter a DataFrame based on partial string matching?\">6. How can I filter a DataFrame based on partial string matching?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/#7_Is_it_possible_to_filter_a_DataFrame_based_on_NULL_values\" title=\"7. Is it possible to filter a DataFrame based on NULL values?\">7. Is it possible to filter a DataFrame based on NULL values?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/#8_How_can_I_filter_a_DataFrame_by_combining_multiple_conditions\" title=\"8. How can I filter a DataFrame by combining multiple conditions?\">8. How can I filter a DataFrame by combining multiple conditions?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/#9_Can_I_filter_a_DataFrame_based_on_a_function\" title=\"9. Can I filter a DataFrame based on a function?\">9. Can I filter a DataFrame based on a function?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/#10_How_can_I_filter_a_DataFrame_by_excluding_both_NULL_and_specific_values\" title=\"10. How can I filter a DataFrame by excluding both NULL and specific values?\">10. How can I filter a DataFrame by excluding both NULL and specific values?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/#11_Is_it_possible_to_filter_a_DataFrame_based_on_datetime_values\" title=\"11. Is it possible to filter a DataFrame based on datetime values?\">11. Is it possible to filter a DataFrame based on datetime values?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/#12_How_can_I_filter_a_DataFrame_by_using_regex_patterns\" title=\"12. How can I filter a DataFrame by using regex patterns?\">12. How can I filter a DataFrame by using regex patterns?<\/a><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"1_How_can_I_filter_a_DataFrame_by_a_specific_value_in_a_column\"><\/span>1. How can I filter a DataFrame by a specific value in a column?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYou can filter a DataFrame by a specific value in a column using the syntax `df[df[&#8216;column_name&#8217;] == &#8216;value&#8217;]`.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"2_Can_I_filter_a_DataFrame_based_on_multiple_column_values\"><\/span>2. Can I filter a DataFrame based on multiple column values?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYes, you can filter a DataFrame based on multiple column values by using the `&#038;` operator to combine conditions. For example, `df[(df[&#8216;column1&#8217;] == &#8216;value1&#8217;) &#038; (df[&#8216;column2&#8217;] == &#8216;value2&#8217;)]`.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"3_Is_it_possible_to_filter_a_DataFrame_by_excluding_certain_values\"><\/span>3. Is it possible to filter a DataFrame by excluding certain values?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYes, you can filter a DataFrame by excluding certain values by using the `!=` operator. For example, `df[df[&#8216;column_name&#8217;] != &#8216;value&#8217;]`.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"4_How_can_I_filter_a_DataFrame_by_comparing_column_values\"><\/span>4. How can I filter a DataFrame by comparing column values?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYou can filter a DataFrame by comparing column values using comparison operators such as `>`, `<`, `>=`, `<=`. For example, `df[df['column_name'] > 10]` will return rows where the column value is greater than 10.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"5_Can_I_filter_a_DataFrame_based_on_a_list_of_values\"><\/span>5. Can I filter a DataFrame based on a list of values?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYes, you can filter a DataFrame based on a list of values by using the `isin()` method. For example, `df[df[&#8216;column_name&#8217;].isin([&#8216;value1&#8217;, &#8216;value2&#8217;])]`.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"6_How_can_I_filter_a_DataFrame_based_on_partial_string_matching\"><\/span>6. How can I filter a DataFrame based on partial string matching?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYou can filter a DataFrame based on partial string matching using the `str.contains()` method. For example, `df[df[&#8216;column_name&#8217;].str.contains(&#8216;partial_string&#8217;)]`.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"7_Is_it_possible_to_filter_a_DataFrame_based_on_NULL_values\"><\/span>7. Is it possible to filter a DataFrame based on NULL values?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYes, you can filter a DataFrame based on NULL values using the `isnull()` method. For example, `df[df[&#8216;column_name&#8217;].isnull()]`.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"8_How_can_I_filter_a_DataFrame_by_combining_multiple_conditions\"><\/span>8. How can I filter a DataFrame by combining multiple conditions?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYou can filter a DataFrame by combining multiple conditions using the `&#038;` and `|` operators for `and` and `or` conditions, respectively. For example, `df[(df[&#8216;column1&#8217;] == &#8216;value1&#8217;) &#038; (df[&#8216;column2&#8217;] > 10)]`.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"9_Can_I_filter_a_DataFrame_based_on_a_function\"><\/span>9. Can I filter a DataFrame based on a function?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYes, you can filter a DataFrame based on a function by using the `apply()` method with a lambda function. For example, `df[df[&#8216;column_name&#8217;].apply(lambda x: x.startswith(&#8216;prefix&#8217;))]`.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"10_How_can_I_filter_a_DataFrame_by_excluding_both_NULL_and_specific_values\"><\/span>10. How can I filter a DataFrame by excluding both NULL and specific values?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYou can filter a DataFrame by excluding both NULL and specific values by using the `notnull()` method along with the `!=` operator. For example, `df[df[&#8216;column_name&#8217;].notnull() &#038; (df[&#8216;column_name&#8217;] != &#8216;value&#8217;)]`.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"11_Is_it_possible_to_filter_a_DataFrame_based_on_datetime_values\"><\/span>11. Is it possible to filter a DataFrame based on datetime values?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYes, you can filter a DataFrame based on datetime values by converting the column to datetime format and then applying comparison operators. For example, `df[df[&#8216;date_column&#8217;] > pd.to_datetime(&#8216;2022-01-01&#8217;)]`.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"12_How_can_I_filter_a_DataFrame_by_using_regex_patterns\"><\/span>12. How can I filter a DataFrame by using regex patterns?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\nYou can filter a DataFrame by using regex patterns with the `str.contains()` method. For example, `df[df[&#8216;column_name&#8217;].str.contains(r&#8217;regex_pattern&#8217;)]`.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>To filter by column value in Pandas, you can use the syntax `df[df[&#8216;column_name&#8217;] == &#8216;value&#8217;]`. This will return a DataFrame with only the rows where the column matches the specified value. 1. How can I filter a DataFrame by a specific value in a column? You can filter a DataFrame by a specific value in &#8230; <\/p>\n<p class=\"read-more-container\"><a title=\"How to filter by column value in Pandas?\" class=\"read-more button\" href=\"https:\/\/namso-gen.co\/blog\/how-to-filter-by-column-value-in-pandas\/#more-200644\">Read more<span class=\"screen-reader-text\">How to filter by column value in Pandas?<\/span><\/a><\/p>\n","protected":false},"author":51,"featured_media":107420,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[86279],"tags":[],"class_list":["post-200644","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-learn","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to filter by column value in Pandas?<\/title>\n<meta name=\"description\" content=\"To filter by column value in Pandas, you can use the syntax `df == &#039;value&#039;]`. 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