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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 This page provides comprehensive documentation on the 'combine' function, including its usage with Python, parameters, and clear, practical examples. Combine is essential when dealing with datasets, particularly when you need to add specific columns.
combine
datasets
columns
parameters
add columns

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

The columns you want to add to a dataset. The first argument is the dataset to add columns inand the remaining could be: datasetX.column2,datasetY.column3

Usage

combine [-d {}] [-c COLUMNS]

Parameters

Name Description Default Optional Choices
dataset Dataset to add columns to None True None
columns The columns we want to add dataset.column,dataset.column2 None True None

Examples

2022 May 31, 04:54 (🦋) /econometrics/ $ load nile

2022 May 31, 04:54 (🦋) /econometrics/ $ load nile -a nile_2

2022 May 31, 04:54 (🦋) /econometrics/ $ combine nile -c nile_2.volume

2022 May 31, 04:55 (🦋) /econometrics/ $ show nile

  Dataset nile | Showing 10 of 100 rows
┏━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━┓
┃   ┃ year    ┃ volume  ┃ nile_2_volume ┃
┡━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━┩
│ 0 │ 1871.00 │ 1120.00 │ 1120.00       │
├───┼─────────┼─────────┼───────────────┤
│ 1 │ 1872.00 │ 1160.00 │ 1160.00       │
├───┼─────────┼─────────┼───────────────┤
│ 2 │ 1873.00 │ 963.00  │ 963.00        │
├───┼─────────┼─────────┼───────────────┤
│ 3 │ 1874.00 │ 1210.00 │ 1210.00       │
├───┼─────────┼─────────┼───────────────┤
│ 4 │ 1875.00 │ 1160.00 │ 1160.00       │
├───┼─────────┼─────────┼───────────────┤
│ 5 │ 1876.00 │ 1160.00 │ 1160.00       │
├───┼─────────┼─────────┼───────────────┤
│ 6 │ 1877.00 │ 813.00  │ 813.00        │
├───┼─────────┼─────────┼───────────────┤
│ 7 │ 1878.00 │ 1230.00 │ 1230.00       │
├───┼─────────┼─────────┼───────────────┤
│ 8 │ 1879.00 │ 1370.00 │ 1370.00       │
├───┼─────────┼─────────┼───────────────┤
│ 9 │ 1880.00 │ 1140.00 │ 1140.00       │
└───┴─────────┴─────────┴───────────────┘