sheet : string, (Optional) Name of the sheet which u want to parse. Default will be the first sheet. method: The HTTP method to use.
headers: Additional headers to send with the request if reading JSON from remote url. Supports all the node-fetch options in Nodejs, and all fetch options in browsers.
frameConfig: Optional arguments passed when creating the DataFrame. e.g column names, index. etc.
parsingOptions: supports all xlsx options. See
}
|
### Example
The **readExcel** method can read excel files saved on a local disk, or over the internet.
{% tabs %}
{% tab title="Node.js" %}
```javascript
const dfd = require("danfojs-node")
const path = require("path")
let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
async function load_process_data() {
let df = await dfd.readExcel(local_xcel)
df.head().print()
}
load_process_data()
```
{% endtab %}
{% tab title="Browser" %}
```markup
Document
```
{% endtab %}
{% endtabs %}
### **Reading an input file object in the browser**
By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load Excel files in the browser in DataFrames/Series
{% tabs %}
{% tab title="Browser" %}
```markup
Document
```
{% endtab %}
{% endtabs %}
---
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Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://danfo.jsdata.org/api-reference/input-output/danfo.read_excel.md?ask=
```
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