> For the complete documentation index, see [llms.txt](https://danfo.jsdata.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://danfo.jsdata.org/api-reference/general-functions/danfo.date_range.md).
# danfo.dateRange
danfo.**dateRange**(options)
| Parameters | Type | Description |
| ----------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **options** | Object | Includes any of the following:
start: Left bound for generating dates.
end: Right bound for generating dates.
period : Number of periods to generate.
offSet: Date range offset
freq: Date range frequency. One of \["M","D","s","H","m","Y"]
|
## **Examples**
{% tabs %}
{% tab title="Node" %}
```javascript
const dfd = require("danfojs-node")
let data = new dfd.dateRange({"start":'1/1/2018', period:5, freq:'M'})
console.log(data);
```
{% endtab %}
{% tab title="Browser" %}
```markup
Document
```
{% endtab %}
{% endtabs %}
{% tabs %}
{% tab title="Output" %}
```
[
'1/1/2018, 12:00:00 AM',
'2/1/2018, 12:00:00 AM',
'3/1/2018, 12:00:00 AM',
'4/1/2018, 12:00:00 AM',
'5/1/2018, 12:00:00 AM'
]
```
{% endtab %}
{% endtabs %}
{% tabs %}
{% tab title="Node" %}
```javascript
const dfd = require("danfojs-node")
let data = new dfd.dateRange({ "start": '1/1/2018', period: 12, freq: 'Y' })
console.log(data);
```
{% endtab %}
{% tab title="Browser" %}
```
```
{% endtab %}
{% endtabs %}
{% tabs %}
{% tab title="Output" %}
```
[
'1/1/2018, 12:00:00 AM',
'1/1/2019, 12:00:00 AM',
'1/1/2020, 12:00:00 AM',
'1/1/2021, 12:00:00 AM',
'1/1/2022, 12:00:00 AM',
'1/1/2023, 12:00:00 AM',
'1/1/2024, 12:00:00 AM',
'1/1/2025, 12:00:00 AM',
'1/1/2026, 12:00:00 AM',
'1/1/2027, 12:00:00 AM',
'1/1/2028, 12:00:00 AM',
'1/1/2029, 12:00:00 AM'
]
```
{% endtab %}
{% endtabs %}
{% hint style="info" %}
Datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
{% endhint %}
---
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