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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, description, keywords
title description keywords
combine The page provides detailed instruction on how to use the 'combine' function which is used to combine datasets or add specific columns to a dataset. This function is used to streamline data analysis.
combine function
data analysis
combine datasets
add columns
dataset usage
TSLA.csv
MSFT.csv
parameter usage
docusaurus page
dataset combination instructions

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

Combine two entire datasets, or add specific columns. Add specificcolumns with the syntax: datasetX.column2,datasetY.column3

Usage

combine [--dataset {--dataset,--columns,-c,--help,-h}] [-c COLUMNS]

Parameters

Name Description Default Optional Choices
dataset Dataset to add columns to None True --dataset, --columns, -c, --help, -h
columns The columns we want to add dataset.column,datasetb.column2 None True None

Examples

(🦋) /forecast/ $ load TSLA.csv

(🦋) /forecast/ $ load MSFT.csv

(🦋) /forecast/ $ combine --dataset TSLA --columns MSFT.volume

(🦋) /forecast/ $ show TSLA
TSLA dataset has shape (row, column): (611, 8)

                            Dataset TSLA | Showing 10 of 611 rows
┏━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓
┃   ┃ date       ┃ open   ┃ high   ┃ low    ┃ close  ┃ adj_close ┃ volume    ┃ MSFT_volume   ┃
┡━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩
│ 0 │ 2020-01-02 │ 84.90  │ 86.14  │ 84.34  │ 86.05  │ 86.05     │ 47660500  │ 1359650900.00 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
│ 1 │ 2020-01-03 │ 88.10  │ 90.80  │ 87.38  │ 88.60  │ 88.60     │ 88892500  │ 1074643300.00 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
│ 2 │ 2020-01-06 │ 88.09  │ 90.31  │ 88.00  │ 90.31  │ 90.31     │ 50665000  │ 1110237200.00 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
│ 3 │ 2020-01-07 │ 92.28  │ 94.33  │ 90.67  │ 93.81  │ 93.81     │ 89410500  │ 1319029500.00 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
│ 4 │ 2020-01-08 │ 94.74  │ 99.70  │ 93.65  │ 98.43  │ 98.43     │ 155721500 │ 1720130200.00 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
│ 5 │ 2020-01-09 │ 99.42  │ 99.76  │ 94.57  │ 96.27  │ 96.27     │ 142202000 │ 1671811600.00 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
│ 6 │ 2020-01-10 │ 96.36  │ 96.99  │ 94.74  │ 95.63  │ 95.63     │ 64797500  │ 1408590600.00 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
│ 7 │ 2020-01-13 │ 98.70  │ 105.13 │ 98.40  │ 104.97 │ 104.97    │ 132588000 │ 1279372100.00 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
│ 8 │ 2020-01-14 │ 108.85 │ 109.48 │ 104.98 │ 107.58 │ 107.58    │ 144981000 │ 1273139500.00 │
├───┼────────────┼────────┼────────┼────────┼────────┼───────────┼───────────┼───────────────┤
│ 9 │ 2020-01-15 │ 105.95 │ 107.57 │ 103.36 │ 103.70 │ 103.70    │ 86844000  │ 1281432800.00 │
└───┴────────────┴────────┴────────┴────────┴────────┴───────────┴───────────┴───────────────┘