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* Update generate_terminal_markdown.py * updates * update workflows * Automated Change * tests * tests * Automated Change * Update test_generate_docs.py * Automated Change * updates * Automated Change * Update gen-docs.yml * Update test.yml * Automated Change * Update test.yml * Automated Change * Update generate_sdk_markdown.py * Automated Change * test * Automated Change * testtt23 * Automated Change * Update generate_sdk_markdown.py * Automated Change * Automated Change * added empting reference folders before autogen docs * updates * Automated Change * update tests gitactions * Automated Change * up * Automated Change * Automated Change * update pytest * Automated Change * tests * Automated Change * examples update * Automated Change * Update generate_sdk_markdown.py * Automated Change * Update test.yml * Update generate_sdk_markdown.py * strip * Automated Change * Workflow : check test update * Automated Change * Automated Change * Automated Change * Update test.yml * Automated Change * Update test.yml * Automated Change * Automated Change * up * Automated Change * Update generate_sdk_markdown.py * Automated Change * update workflows * fix guides * testing * Update gh-pages.yml * Update gh-pages.yml Co-authored-by: tehcoderer <tehcoderer@users.noreply.github.com> Co-authored-by: Jeroen Bouma <jer.bouma@gmail.com> Co-authored-by: Chavithra PARANA <chavithra@gmail.com> Co-authored-by: Chavithra <Chavithra@users.noreply.github.com> Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com> Co-authored-by: jose-donato <jose-donato@users.noreply.github.com>
4.9 KiB
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4.9 KiB
Vendored
title, description
| title | description |
|---|---|
| clean | OpenBB Terminal Function |
clean
Clean a dataset by filling and dropping NaN values.
Usage
clean [-f {rfill,cfill,rbfill,cbfill,rffill,bffill}] [--drop {rdrop,cdrop}] [-d {}]
Parameters
| Name | Description | Default | Optional | Choices |
|---|---|---|---|---|
| fill | The method of filling NaNs. This has options to fill rows (rfill, rbfill, rffill) or fill columns (cfill, cbfill, cffill). Furthermore, it has the option to forward fill and backward fill (up to --limit) which refer to how many rows/columns can be set equal to the last non-NaN value | True | rfill, cfill, rbfill, cbfill, rffill, bffill | |
| drop | The method of dropping NaNs. This either has the option rdrop (drop rows that contain NaNs) or cdrop (drop columns that contain NaNs) | True | rdrop, cdrop | |
| target_dataset | The name of the dataset you want to select | None | True | None |
Examples
(🦋) /forecast/ $ show TSLA
TSLA dataset has shape (row, column): (611, 7)
Dataset TSLA | Showing 10 of 611 rows
┏━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┓
┃ ┃ date ┃ open ┃ high ┃ low ┃ close ┃ adj_close ┃ volume ┃
┡━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━┩
│ 0 │ 2020-01-02 │ 84.90 │ 86.14 │ 84.34 │ 86.05 │ 86.05 │ 47660500 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┤
│ 1 │ 2020-01-03 │ 88.10 │ 90.80 │ 87.38 │ 88.60 │ 88.60 │ 88892500 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┤
│ 2 │ 2020-01-06 │ 88.09 │ 90.31 │ 88.00 │ 90.31 │ 90.31 │ 50665000 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┤
│ 3 │ 2020-01-07 │ 92.28 │ 94.33 │ 90.67 │ 93.81 │ 93.81 │ 89410500 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┤
│ 4 │ 2020-01-08 │ 94.74 │ 99.70 │ 93.65 │ 98.43 │ 98.43 │ 155721500 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┤
│ 5 │ 2020-01-09 │ 99.42 │ 99.76 │ 94.57 │ 96.27 │ 96.27 │ 142202000 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┤
│ 6 │ 2020-01-10 │ 96.36 │ 96.99 │ 94.74 │ 95.63 │ 95.63 │ 64797500 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┤
│ 7 │ 2020-01-13 │ 98.70 │ 105.13 │ 98.40 │ 104.97 │ 104.97 │ 132588000 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┤
│ 8 │ 2020-01-14 │ 108.85 │ 109.48 │ 104.98 │ 107.58 │ 107.58 │ 144981000 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┤
│ 9 │ 2020-01-15 │ 105.95 │ 107.57 │ 103.36 │ 103.70 │ 103.70 │ 86844000 │
└───┴────────────┴────────┴────────┴────────┴────────┴───────────┴───────────┘