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OpenBB/website/content/terminal/reference/forecast/load.md
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Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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---
title: load
description: This page details how to use the 'load' command to bring custom datasets
into your forecasting tool. It gives usage instructions, parameter descriptions,
and examples.
keywords:
- load command
- custom dataset
- data import
- data forecasting tool
- command usage
- command parameters
- command examples
- data forecasting examples
- custom import
---
import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
<HeadTitle title="forecast /load - Reference | OpenBB Terminal Docs" />
Load custom dataset (from previous export, custom imports).
### Usage
```python
load [-f {}] [-a ALIAS]
```
---
## Parameters
| Name | Description | Default | Optional | Choices |
| ---- | ----------- | ------- | -------- | ------- |
| file | File to load data in (can be custom import, may have been exported before.) | None | True | None |
| alias | Alias name to give to the dataset | None | True | None |
---
## Examples
```python
(🦋) /forecast/ $ load aapl.csv
(🦋) /forecast/ $ show aapl
Dataset aapl | Showing 10 of 759 rows
┏━━━┳━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┓
┃ ┃ date ┃ open ┃ high ┃ low ┃ close ┃ adj_close ┃ volume ┃
┡━━━╇━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━┩
│ 0 │ 2019-06-10 │ 47.95 │ 48.84 │ 47.90 │ 48.15 │ 46.99 │ 104883600 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼───────────┤
│ 1 │ 2019-06-11 │ 48.72 │ 49.00 │ 48.40 │ 48.70 │ 47.53 │ 107731600 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼───────────┤
│ 2 │ 2019-06-12 │ 48.49 │ 48.99 │ 48.35 │ 48.55 │ 47.38 │ 73012800 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼───────────┤
│ 3 │ 2019-06-13 │ 48.67 │ 49.20 │ 48.40 │ 48.54 │ 47.37 │ 86698400 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼───────────┤
│ 4 │ 2019-06-14 │ 47.89 │ 48.40 │ 47.58 │ 48.19 │ 47.03 │ 75046000 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼───────────┤
│ 5 │ 2019-06-17 │ 48.22 │ 48.74 │ 48.04 │ 48.47 │ 47.31 │ 58676400 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼───────────┤
│ 6 │ 2019-06-18 │ 49.01 │ 50.07 │ 48.80 │ 49.61 │ 48.42 │ 106204000 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼───────────┤
│ 7 │ 2019-06-19 │ 49.92 │ 49.97 │ 49.33 │ 49.47 │ 48.28 │ 84496800 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼───────────┤
│ 8 │ 2019-06-20 │ 50.09 │ 50.15 │ 49.51 │ 49.87 │ 48.67 │ 86056000 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼───────────┤
│ 9 │ 2019-06-21 │ 49.70 │ 50.21 │ 49.54 │ 49.69 │ 48.50 │ 191202400 │
└───┴────────────┴───────┴───────┴───────┴───────┴───────────┴───────────┘
```
---