--- title: combine description: 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. keywords: - 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 ```python 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 ```python 2022 May 31, 04:54 (๐Ÿฆ‹) /econometrics/ $ load nile 2022 May 31, 04:54 (๐Ÿฆ‹) /econometrics/ $ load nile -a nile_2 2022 May 31, 04:54 (๐Ÿฆ‹) /econometrics/ $ combine nile -c nile_2.volume 2022 May 31, 04:55 (๐Ÿฆ‹) /econometrics/ $ show nile Dataset nile | Showing 10 of 100 rows โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ณโ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”“ โ”ƒ โ”ƒ year โ”ƒ volume โ”ƒ nile_2_volume โ”ƒ โ”กโ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ•‡โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”ฉ โ”‚ 0 โ”‚ 1871.00 โ”‚ 1120.00 โ”‚ 1120.00 โ”‚ โ”œโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ 1 โ”‚ 1872.00 โ”‚ 1160.00 โ”‚ 1160.00 โ”‚ โ”œโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ 2 โ”‚ 1873.00 โ”‚ 963.00 โ”‚ 963.00 โ”‚ โ”œโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ 3 โ”‚ 1874.00 โ”‚ 1210.00 โ”‚ 1210.00 โ”‚ โ”œโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ 4 โ”‚ 1875.00 โ”‚ 1160.00 โ”‚ 1160.00 โ”‚ โ”œโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ 5 โ”‚ 1876.00 โ”‚ 1160.00 โ”‚ 1160.00 โ”‚ โ”œโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ 6 โ”‚ 1877.00 โ”‚ 813.00 โ”‚ 813.00 โ”‚ โ”œโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ 7 โ”‚ 1878.00 โ”‚ 1230.00 โ”‚ 1230.00 โ”‚ โ”œโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ 8 โ”‚ 1879.00 โ”‚ 1370.00 โ”‚ 1370.00 โ”‚ โ”œโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚ 9 โ”‚ 1880.00 โ”‚ 1140.00 โ”‚ 1140.00 โ”‚ โ””โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ ``` ---