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‎api-reference/dataframe/dataframe.to_csv.md

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# DataFrame.toCSV
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DataFrame.toCSV(options) 
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{% hint style="danger" %}
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Deprecated in v1.1.0: Use the [`dfd.toCSV`](../input-output/danfo.to\_csv.md) function directly instead
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{% endhint %}
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| | | | |
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| -------------- | ---------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------ |
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| **Parameters** | Type | Description | Default |
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| **options** | object, optional | <p>Configuration object:</p><p></p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.</p><p><br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p></p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p></p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p></p> | <p>{<br><strong>sep</strong>: ","<br>}</p> |
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DataFrame.toCSV(options)
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| | | | |
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| -------------- | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------ |
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| **Parameters** | Type | Description | Default |
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| **options** | object, optional | <p>Configuration object:</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.</p><p><br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p> | <p>{<br><strong>sep</strong>: ","<br>}</p> |
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The **toCSV** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
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‎api-reference/dataframe/dataframe.to_excel.md

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# DataFrame.toExcel
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> DataFrame.toExcel(options)&#x20;
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{% hint style="danger" %}
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Deprecated in v1.1.0: Use the [`dfd.toExcel`](../input-output/danfo.to\_excel.md) function directly instead
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{% endhint %}
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| **Parameters** | Type | Description | Default |
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| -------------- | ---------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
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| **options** | object, optional | <p>Configuration object:</p><p></p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment.</p><p><br><strong><code>sheetName</code></strong>: Name to call the excel sheet.</p><p></p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
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> DataFrame.toExcel(options)
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| **Parameters** | Type | Description | Default |
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| -------------- | ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
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| **options** | object, optional | <p>Configuration object:</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment.</p><p><br><strong><code>sheetName</code></strong>: Name to call the excel sheet.</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
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The **toExcel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
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‎api-reference/dataframe/dataframe.to_json.md

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# DataFrame.toJSON
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> DataFrame.toJSON(options)&#x20;
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{% hint style="danger" %}
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Deprecated in v1.1.0: Use the [dfd.toJSON](../input-output/danfo.to\_json.md) function directly instead
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{% endhint %}
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| | | | |
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| -------------- | ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
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| **Parameters** | Type | Description | Default |
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| **options** | object, optional | <p>Configuration object:</p><p></p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.</p><p><br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p></p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
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> DataFrame.toJSON(options)
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| | | | |
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| -------------- | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------- |
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| **Parameters** | Type | Description | Default |
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| **options** | object, optional | <p>Configuration object:</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.</p><p><br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
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The **toJSON** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
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‎api-reference/general-functions/danfo.dt.md

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# danfo.Dt
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For example, in the following example, we convert a Series to an `Dt` instance and apply a couple of **DateTime** methods.&#x20;
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For example, in the following example, we convert a Series to an `Dt` instance and apply a couple of **DateTime** methods.
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{% tabs %}
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{% tab title="Node" %}
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```javascript
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import { Dt, Series } from "danfojs-node-nightly"
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import { Dt, Series } from "danfojs-node"
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const sf = new Series(["1/1/2000", "1/2/2000", "2/3/2000", "1/4/2000", "4/5/2000"])
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const dtS = new Dt(sf)
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╟───┼──────────╢
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║ 4 │ April ║
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╚═══╧══════════╝
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```

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