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<title data-rh="true">DataFrame Operations | Langflow Documentation</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.langflow.org/dataframe-operations"><meta data-rh="true" property="og:locale" content="en"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="DataFrame Operations | Langflow Documentation"><meta data-rh="true" name="description" content="The DataFrame Operations component performs operations on DataFrame (table) rows and columns, including schema changes, record changes, sorting, and filtering."><meta data-rh="true" property="og:description" content="The DataFrame Operations component performs operations on DataFrame (table) rows and columns, including schema changes, record changes, sorting, and filtering."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.langflow.org/dataframe-operations"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/dataframe-operations" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/dataframe-operations" hreflang="x-default"><link data-rh="true" rel="preconnect" href="https://UZK6BDPCVY-dsn.algolia.net" crossorigin="anonymous"><script data-rh="true" type="application/ld+json">{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"DataFrame Operations","item":"https://docs.langflow.org/dataframe-operations"}]}</script><link rel="preconnect" href="https://www.google-analytics.com">
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</li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Components reference</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Core components</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Processing</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">DataFrame Operations</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>DataFrame Operations</h1></header><p>The <strong>DataFrame Operations</strong> component performs operations on <a href="/data-types#dataframe"><code>DataFrame</code></a> (table) rows and columns, including schema changes, record changes, sorting, and filtering.
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For all options, see <a href="#dataframe-operations-parameters">DataFrame Operations parameters</a>.</p>
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<p>The output is a new <code>DataFrame</code> containing the modified data after running the selected operation.</p>
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<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="use-the-dataframe-operations-component-in-a-flow">Use the DataFrame Operations component in a flow<a href="#use-the-dataframe-operations-component-in-a-flow" class="hash-link" aria-label="Direct link to Use the DataFrame Operations component in a flow" title="Direct link to Use the DataFrame Operations component in a flow"></a></h2>
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<p>The following steps explain how to configure a <strong>DataFrame Operations</strong> component in a flow.
|
||
You can follow along with an example or use your own flow.
|
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The only requirement is that the preceding component must create <code>DataFrame</code> output that you can pass to the <strong>DataFrame Operations</strong> component.</p>
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<ol>
|
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<li>
|
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<p>Create a new flow or use an existing flow.</p>
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<details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Example: API response extraction flow</summary><div><div class="collapsibleContent_i85q"><p>The following example flow uses five components to extract <code>Data</code> from an API response, transform it to a <code>DataFrame</code>, and then perform further processing on the tabular data using a <strong>DataFrame Operations</strong> component.
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The sixth component, <strong>Chat Output</strong>, is optional in this example.
|
||
It only serves as a convenient way for you to view the final output in the <strong>Playground</strong>, rather than inspecting the component logs.</p><p><img decoding="async" loading="lazy" alt="A flow that ingests an API response, extracts it to a DataFrame with a Smart Transform component, and the processes it through a DataFrame Operations component" src="/assets/images/component-dataframe-operations-031488ccf4e3d3378f8842f0ea10682c.png" width="4000" height="2120" class="img_ev3q"></p><p>If you want to use this example to test the <strong>DataFrame Operations</strong> component, do the following:</p><ol>
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<li>
|
||
<p>Create a flow with the following components:</p>
|
||
<ul>
|
||
<li><strong>API Request</strong></li>
|
||
<li><strong>Language Model</strong></li>
|
||
<li><strong>Smart Transform</strong></li>
|
||
<li><strong>Type Convert</strong></li>
|
||
</ul>
|
||
</li>
|
||
<li>
|
||
<p>Configure the <a href="/smart-transform"><strong>Smart Transform</strong> component</a> and its dependencies:</p>
|
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<ul>
|
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<li><strong>API Request</strong>: Configure the <a href="/api-request"><strong>API Request</strong> component</a> to get JSON data from an endpoint of your choice, and then connect the <strong>API Response</strong> output to the <strong>Smart Transform</strong> component's <strong>Data</strong> input.</li>
|
||
<li><strong>Language Model</strong>: Select your preferred provider and model, and then enter a valid API key.
|
||
Change the output to <strong>Language Model</strong>, and then connect the <code>LanguageModel</code> output to the <strong>Smart Transform</strong> component's <strong>Language Model</strong> input.</li>
|
||
<li><strong>Smart Transform</strong>: In the <strong>Instructions</strong> field, enter natural language instructions to extract data from the API response.
|
||
Your instructions depend on the response content and desired outcome.
|
||
For example, if the response contains a large <code>result</code> field, you might provide instructions like <code>explode the result field out into a Data object</code>.</li>
|
||
</ul>
|
||
</li>
|
||
<li>
|
||
<p>Convert the <strong>Smart Transform</strong> component's <code>Data</code> output to <code>DataFrame</code>:</p>
|
||
<ol>
|
||
<li>Connect the <strong>Filtered Data</strong> output to the <strong>Type Convert</strong> component's <strong>Data</strong> input.</li>
|
||
<li>Set the <strong>Type Convert</strong> component's <strong>Output Type</strong> to <strong>DataFrame</strong>.</li>
|
||
</ol>
|
||
</li>
|
||
</ol><p>Now the flow is ready for you to add the <strong>DataFrame Operations</strong> component.</p></div></div></details>
|
||
</li>
|
||
<li>
|
||
<p>Add a <strong>DataFrame Operations</strong> component to the flow, and then connect <code>DataFrame</code> output from another component to the <strong>DataFrame</strong> input.</p>
|
||
<p>All operations in the <strong>DataFrame Operations</strong> component require at least one <code>DataFrame</code> input from another component.
|
||
If a component doesn't produce <code>DataFrame</code> output, you can use another component, such as the <a href="/type-convert"><strong>Type Convert</strong> component</a>, to reformat the data before passing it to the <strong>DataFrame Operations</strong> component.
|
||
Alternatively, you could consider using a component that is designed to process the original data type, such as the <a href="/parser"><strong>Parser</strong> component</a> or <a href="/data-operations"><strong>Data Operations</strong> component</a>.</p>
|
||
<p>If you are following along with the example flow, connect the <strong>Type Convert</strong> component's <strong>DataFrame Output</strong> port to the <strong>DataFrame</strong> input.</p>
|
||
</li>
|
||
<li>
|
||
<p>In the <strong>Operations</strong> field, select the operation you want to perform on the incoming <code>DataFrame</code>.
|
||
For example, the <strong>Filter</strong> operation filters the rows based on a specified column and value.</p>
|
||
<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>You can select only one operation.
|
||
If you need to perform multiple operations on the data, you can chain multiple <strong>DataFrame Operations</strong> components together to execute each operation in sequence.
|
||
For more complex multi-step operations, like dramatic schema changes or pivots, consider using an LLM-powered component, like the <a href="/structured-output"><strong>Structured Output</strong> component</a> or <a href="/smart-transform"><strong>Smart Transform</strong> component</a>, as a replacement or preparation for the <strong>DataFrame Operations</strong> component.</p></div></div>
|
||
<p>If you're following along with the example flow, select any operation that you want to apply to the data that was extracted by the <strong>Smart Transform</strong> component.
|
||
To view the contents of the incoming <code>DataFrame</code>, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-play" aria-hidden="true"><polygon points="6 3 20 12 6 21 6 3"></polygon></svg> <strong>Run component</strong> on the <strong>Type Convert</strong> component, and then <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-text-search" aria-hidden="true"><path d="M21 6H3"></path><path d="M10 12H3"></path><path d="M10 18H3"></path><circle cx="17" cy="15" r="3"></circle><path d="m21 19-1.9-1.9"></path></svg> <strong>Inspect output</strong>.
|
||
If the <code>DataFrame</code> seems malformed, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-text-search" aria-hidden="true"><path d="M21 6H3"></path><path d="M10 12H3"></path><path d="M10 18H3"></path><circle cx="17" cy="15" r="3"></circle><path d="m21 19-1.9-1.9"></path></svg> <strong>Inspect output</strong> on each upstream component to determine where the error occurs, and then modify your flow's configuration as needed.
|
||
For example, if the <strong>Smart Transform</strong> component didn't extract the expected fields, modify your instructions or verify that the given fields are present in the <strong>API Response</strong> output.</p>
|
||
</li>
|
||
<li>
|
||
<p>Configure the operation's parameters.
|
||
The specific parameters depend on the selected operation.
|
||
For example, if you select the <strong>Filter</strong> operation, you must define a filter condition using the <strong>Column Name</strong>, <strong>Filter Value</strong>, and <strong>Filter Operator</strong> parameters.
|
||
For more information, see <a href="#dataframe-operations-parameters">DataFrame Operations parameters</a></p>
|
||
</li>
|
||
<li>
|
||
<p>To test the flow, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-play" aria-hidden="true"><polygon points="6 3 20 12 6 21 6 3"></polygon></svg> <strong>Run component</strong> on the <strong>DataFrame Operations</strong> component, and then click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-text-search" aria-hidden="true"><path d="M21 6H3"></path><path d="M10 12H3"></path><path d="M10 18H3"></path><circle cx="17" cy="15" r="3"></circle><path d="m21 19-1.9-1.9"></path></svg> <strong>Inspect output</strong> to view the new <code>DataFrame</code> created from the <strong>Filter</strong> operation.</p>
|
||
<p>If you want to view the output in the <strong>Playground</strong>, connect the <strong>DataFrame Operations</strong> component's output to a <strong>Chat Output</strong> component, rerun the <strong>DataFrame Operations</strong> component, and then click <strong>Playground</strong>.</p>
|
||
</li>
|
||
</ol>
|
||
<p>For another example, see <a href="/loop#conditional-looping">Conditional looping</a>.</p>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="dataframe-operations-parameters">DataFrame Operations parameters<a href="#dataframe-operations-parameters" class="hash-link" aria-label="Direct link to DataFrame Operations parameters" title="Direct link to DataFrame Operations parameters"></a></h2>
|
||
<p>Most <strong>DataFrame Operations</strong> parameters are conditional because they only apply to specific operations.</p>
|
||
<p>The only permanent parameters are <strong>DataFrame</strong> (<code>df</code>), which is the <code>DataFrame</code> input, and <strong>Operation</strong> (<code>operation</code>), which is the operation to perform on the <code>DataFrame</code>.
|
||
Once you select an operation, the conditional parameters for that operation appear on the <strong>DataFrame Operations</strong> component.</p>
|
||
<div class="tabs-container tabList__CuJ"><ul role="tablist" aria-orientation="horizontal" class="tabs"><li role="tab" tabindex="0" aria-selected="true" class="tabs__item tabItem_LNqP tabs__item--active">Add Column</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Drop Column</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Filter</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Head</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Rename Column</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Replace Value</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Select Columns</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Sort</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Tail</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Drop Duplicates</li></ul><div class="margin-top--md"><div role="tabpanel" class="tabItem_Ymn6"><p>The <strong>Add Column</strong> operation allows you to add a new column to the <code>DataFrame</code> with a constant value.</p><p>The parameters are <strong>New Column Name</strong> (<code>new_column_name</code>) and <strong>New Column Value</strong> (<code>new_column_value</code>).</p></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><p>The <strong>Drop Column</strong> operation allows you to remove a column from the <code>DataFrame</code>, specified by <strong>Column Name</strong> (<code>column_name</code>).</p></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><p>The <strong>Filter</strong> operation allows you to filter the <code>DataFrame</code> based on a specified condition.
|
||
The output is a <code>DataFrame</code> containing only the rows that matched the filter condition.</p><p>Provide the following parameters:</p><ul>
|
||
<li><strong>Column Name</strong> (<code>column_name</code>): The name of the column to filter on.</li>
|
||
<li><strong>Filter Value</strong> (<code>filter_value</code>): The value to filter on.</li>
|
||
<li><strong>Filter Operator</strong> (<code>filter_operator</code>): The operator to use for filtering, one of <code>equals</code> (default), <code>not equals</code>, <code>contains</code>, <code>not contains</code>, <code>starts with</code>, <code>ends with</code>, <code>greater than</code>, or <code>less than</code>.</li>
|
||
</ul></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><p>The <strong>Head</strong> operation allows you to retrieve the first <code>n</code> rows of the <code>DataFrame</code>, where <code>n</code> is set in <strong>Number of Rows</strong> (<code>num_rows</code>).
|
||
The default is <code>5</code>.</p><p>The output is a <code>DataFrame</code> containing only the selected rows.</p></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><p>The <strong>Rename Column</strong> operation allows you to rename an existing column in the <code>DataFrame</code>.</p><p>The parameters are <strong>Column Name</strong> (<code>column_name</code>), which is the current name, and <strong>New Column Name</strong> (<code>new_column_name</code>).</p></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><p>The <strong>Replace Value</strong> operation allows you to replace values in a specific column of the <code>DataFrame</code>.
|
||
This operation replaces a target value with a new value.
|
||
All cells matching the target value are replaced with the new value in the new <code>DataFrame</code> output.</p><p>Provide the following parameters:</p><ul>
|
||
<li><strong>Column Name</strong> (<code>column_name</code>): The name of the column to modify.</li>
|
||
<li><strong>Value to Replace</strong> (<code>replace_value</code>): The value that you want to replace.</li>
|
||
<li><strong>Replacement Value</strong> (<code>replacement_value</code>): The new value to use.</li>
|
||
</ul></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><p>The <strong>Select Columns</strong> operation allows you to select one or more specific columns from the <code>DataFrame</code>.</p><p>Provide a list of column names in <strong>Columns to Select</strong> (<code>columns_to_select</code>).
|
||
In the visual editor, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-plus" aria-hidden="true"><path d="M5 12h14"></path><path d="M12 5v14"></path></svg> <strong>Add More</strong> to add multiple fields, and then enter one column name in each field.</p><p>The output is a <code>DataFrame</code> containing only the specified columns.</p></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><p>The <strong>Sort</strong> operation allows you to sort the <code>DataFrame</code> on a specific column in ascending or descending order.</p><p>Provide the following parameters:</p><ul>
|
||
<li><strong>Column Name</strong> (<code>column_name</code>): The name of the column to sort on.</li>
|
||
<li><strong>Sort Ascending</strong> (<code>ascending</code>): Whether to sort in ascending or descending order. If enabled (<code>true</code>), sorts in ascending order; if disabled (<code>false</code>), sorts in descending order. Default: Enabled (<code>true</code>)</li>
|
||
</ul></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><p>The <strong>Tail</strong> operation allows you to retrieve the last <code>n</code> rows of the <code>DataFrame</code>, where <code>n</code> is set in <strong>Number of Rows</strong> (<code>num_rows</code>).
|
||
The default is <code>5</code>.</p><p>The output is a <code>DataFrame</code> containing only the selected rows.</p></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><p>The <strong>Drop Duplicates</strong> operation removes rows from the <code>DataFrame</code> by identifying all duplicate values within a single column.</p><p>The only parameter is the <strong>Column Name</strong> (<code>column_name</code>).</p><p>When the flow runs, all rows with duplicate values in the given column are removed.
|
||
The output is a <code>DataFrame</code> containing all columns from the original <code>DataFrame</code>, but only rows with non-duplicate values.</p></div></div></div></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/data-operations"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Data Operations</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/dynamic-create-data"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Dynamic Create Data</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#use-the-dataframe-operations-component-in-a-flow" class="table-of-contents__link toc-highlight">Use the DataFrame Operations component in a flow</a></li><li><a href="#dataframe-operations-parameters" class="table-of-contents__link toc-highlight">DataFrame Operations parameters</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
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