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81 lines
5.9 KiB
Markdown
Vendored
81 lines
5.9 KiB
Markdown
Vendored
---
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title: combine
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description: The page provides detailed instruction on how to use the 'combine' function
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which is used to combine datasets or add specific columns to a dataset. This function
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is used to streamline data analysis.
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keywords:
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- combine function
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- data analysis
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- combine datasets
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- add columns
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- dataset usage
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- TSLA.csv
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- MSFT.csv
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- parameter usage
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- docusaurus page
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- dataset combination instructions
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---
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import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
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<HeadTitle title="forecast /combine - Reference | OpenBB Terminal Docs" />
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Combine two entire datasets, or add specific columns. Add specificcolumns with the syntax: datasetX.column2,datasetY.column3
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### Usage
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```python
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combine [--dataset {--dataset,--columns,-c,--help,-h}] [-c COLUMNS]
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```
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---
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## Parameters
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| Name | Description | Default | Optional | Choices |
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| ---- | ----------- | ------- | -------- | ------- |
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| dataset | Dataset to add columns to | None | True | --dataset, --columns, -c, --help, -h |
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| columns | The columns we want to add dataset.column,datasetb.column2 | None | True | None |
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---
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## Examples
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```python
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(🦋) /forecast/ $ load TSLA.csv
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(🦋) /forecast/ $ load MSFT.csv
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(🦋) /forecast/ $ combine --dataset TSLA --columns MSFT.volume
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(🦋) /forecast/ $ show TSLA
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TSLA dataset has shape (row, column): (611, 8)
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Dataset TSLA | Showing 10 of 611 rows
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┏━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓
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┃ ┃ date ┃ open ┃ high ┃ low ┃ close ┃ adj_close ┃ volume ┃ MSFT_volume ┃
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┡━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩
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│ 0 │ 2020-01-02 │ 84.90 │ 86.14 │ 84.34 │ 86.05 │ 86.05 │ 47660500 │ 1359650900.00 │
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├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
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│ 1 │ 2020-01-03 │ 88.10 │ 90.80 │ 87.38 │ 88.60 │ 88.60 │ 88892500 │ 1074643300.00 │
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├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
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│ 2 │ 2020-01-06 │ 88.09 │ 90.31 │ 88.00 │ 90.31 │ 90.31 │ 50665000 │ 1110237200.00 │
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├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
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│ 3 │ 2020-01-07 │ 92.28 │ 94.33 │ 90.67 │ 93.81 │ 93.81 │ 89410500 │ 1319029500.00 │
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├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
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│ 4 │ 2020-01-08 │ 94.74 │ 99.70 │ 93.65 │ 98.43 │ 98.43 │ 155721500 │ 1720130200.00 │
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├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
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│ 5 │ 2020-01-09 │ 99.42 │ 99.76 │ 94.57 │ 96.27 │ 96.27 │ 142202000 │ 1671811600.00 │
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├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
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│ 6 │ 2020-01-10 │ 96.36 │ 96.99 │ 94.74 │ 95.63 │ 95.63 │ 64797500 │ 1408590600.00 │
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├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
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│ 7 │ 2020-01-13 │ 98.70 │ 105.13 │ 98.40 │ 104.97 │ 104.97 │ 132588000 │ 1279372100.00 │
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├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
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│ 8 │ 2020-01-14 │ 108.85 │ 109.48 │ 104.98 │ 107.58 │ 107.58 │ 144981000 │ 1273139500.00 │
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├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
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│ 9 │ 2020-01-15 │ 105.95 │ 107.57 │ 103.36 │ 103.70 │ 103.70 │ 86844000 │ 1281432800.00 │
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└───┴────────────┴────────┴────────┴────────┴────────┴───────────┴───────────┴───────────────┘
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```
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---
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