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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

8.6 KiB
Vendored

title, description, keywords
title description keywords
rename The page provides detailed information on the 'rename' function from a Python-based toolset, used for renaming columns in a dataset. It includes how to use the function, its parameters, and relevant examples.
rename tool
dataset
parameter
column rename
dataset modification
data management

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

The column you want to rename from a dataset.

Usage

rename [-d {}] -o OLDCOL -n NEWCOL

Parameters

Name Description Default Optional Choices
dataset Dataset that will get a column renamed None True None
oldcol Old column from dataset to be renamed None False None
newcol New column from dataset to be renamed None False None

Examples

2022 Jul 23, 10:16 (🦋) /forecast/ $ show AAPL
AAPL dataset has shape (row, column): (759, 7)

                  Dataset AAPL | Showing 10 of 759 rows
┏━━━┳━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━┓
┃   ┃ date       ┃ open  ┃ high  ┃ low   ┃ close ┃ adj_close ┃ volume   ┃
┡━━━╇━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━┩
│ 0 │ 2019-07-15 │ 51.02 │ 51.47 │ 51.00 │ 51.30 │ 50.07     │ 67789600 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼──────────┤
│ 1 │ 2019-07-16 │ 51.15 │ 51.53 │ 50.88 │ 51.12 │ 49.90     │ 67467200 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼──────────┤
│ 2 │ 2019-07-17 │ 51.01 │ 51.27 │ 50.82 │ 50.84 │ 49.62     │ 56430000 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼──────────┤
│ 3 │ 2019-07-18 │ 51.00 │ 51.47 │ 50.92 │ 51.42 │ 50.18     │ 74162400 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼──────────┤
│ 4 │ 2019-07-19 │ 51.45 │ 51.62 │ 50.59 │ 50.65 │ 49.43     │ 83717200 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼──────────┤
│ 5 │ 2019-07-22 │ 50.91 │ 51.81 │ 50.90 │ 51.81 │ 50.56     │ 89111600 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼──────────┤
│ 6 │ 2019-07-23 │ 52.12 │ 52.23 │ 51.82 │ 52.21 │ 50.96     │ 73420800 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼──────────┤
│ 7 │ 2019-07-24 │ 51.92 │ 52.29 │ 51.79 │ 52.17 │ 50.92     │ 59966400 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼──────────┤
│ 8 │ 2019-07-25 │ 52.22 │ 52.31 │ 51.68 │ 51.76 │ 50.51     │ 55638400 │
├───┼────────────┼───────┼───────┼───────┼───────┼───────────┼──────────┤
│ 9 │ 2019-07-26 │ 51.87 │ 52.43 │ 51.78 │ 51.94 │ 50.69     │ 70475600 │
└───┴────────────┴───────┴───────┴───────┴───────┴───────────┴──────────┘

2022 Jul 23, 10:16 (🦋) /forecast/ $ rename AAPL -o close -n new_name

2022 Jul 23, 10:16 (🦋) /forecast/ $ show AAPL
AAPL dataset has shape (row, column): (759, 7)

                   Dataset AAPL | Showing 10 of 759 rows
┏━━━┳━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━┓
┃   ┃ date       ┃ open  ┃ high  ┃ low   ┃ new_name ┃ adj_close ┃ volume   ┃
┡━━━╇━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━┩
│ 0 │ 2019-07-15 │ 51.02 │ 51.47 │ 51.00 │ 51.30    │ 50.07     │ 67789600 │
├───┼────────────┼───────┼───────┼───────┼──────────┼───────────┼──────────┤
│ 1 │ 2019-07-16 │ 51.15 │ 51.53 │ 50.88 │ 51.12    │ 49.90     │ 67467200 │
├───┼────────────┼───────┼───────┼───────┼──────────┼───────────┼──────────┤
│ 2 │ 2019-07-17 │ 51.01 │ 51.27 │ 50.82 │ 50.84    │ 49.62     │ 56430000 │
├───┼────────────┼───────┼───────┼───────┼──────────┼───────────┼──────────┤
│ 3 │ 2019-07-18 │ 51.00 │ 51.47 │ 50.92 │ 51.42    │ 50.18     │ 74162400 │
├───┼────────────┼───────┼───────┼───────┼──────────┼───────────┼──────────┤
│ 4 │ 2019-07-19 │ 51.45 │ 51.62 │ 50.59 │ 50.65    │ 49.43     │ 83717200 │
├───┼────────────┼───────┼───────┼───────┼──────────┼───────────┼──────────┤
│ 5 │ 2019-07-22 │ 50.91 │ 51.81 │ 50.90 │ 51.81    │ 50.56     │ 89111600 │
├───┼────────────┼───────┼───────┼───────┼──────────┼───────────┼──────────┤
│ 6 │ 2019-07-23 │ 52.12 │ 52.23 │ 51.82 │ 52.21    │ 50.96     │ 73420800 │
├───┼────────────┼───────┼───────┼───────┼──────────┼───────────┼──────────┤
│ 7 │ 2019-07-24 │ 51.92 │ 52.29 │ 51.79 │ 52.17    │ 50.92     │ 59966400 │
├───┼────────────┼───────┼───────┼───────┼──────────┼───────────┼──────────┤
│ 8 │ 2019-07-25 │ 52.22 │ 52.31 │ 51.68 │ 51.76    │ 50.51     │ 55638400 │
├───┼────────────┼───────┼───────┼───────┼──────────┼───────────┼──────────┤
│ 9 │ 2019-07-26 │ 51.87 │ 52.43 │ 51.78 │ 51.94    │ 50.69     │ 70475600 │
└───┴────────────┴───────┴───────┴───────┴──────────┴───────────┴──────────┘