๋ณธ๋ฌธ ๋ฐ”๋กœ๊ฐ€๊ธฐ
- ๐Ÿ“•PYTHON

5-2. ๊ธฐ์กด ์ปฌ๋Ÿผ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์ƒˆ๋กœ์šด ์ปฌ๋Ÿผ ๋งŒ๋“ค๊ธฐ (rename)

by shoo. 2023. 7. 25.

3) ์ปฌ๋Ÿผ๋ช… ๋ณ€๊ฒฝํ•˜๊ธฐ   (rename)

ex) OpenAQ์—์„œ ์‚ฌ์šฉํ•˜๋Š” ํ•ด๋‹น ์—ญ ์‹๋ณ„์ž๋กœ ๋ฐ์ดํ„ฐ ์ปฌ๋Ÿผ์˜ ์ด๋ฆ„์„ ๋ณ€๊ฒฝํ•˜๊ธฐ

In [8]: air_quality_renamed = air_quality.rename(
   ...:     columns={
   ...:         "station_antwerp": "BETR801",
   ...:         "station_paris": "FR04014",
   ...:         "station_london": "London Westminster",
   ...:     }
   ...: )
   ...:
In [9]: air_quality_renamed.head()
Out[9]: 
                     BETR801  FR04014  ...  london_mg_per_cubic  ratio_paris_antwerp
datetime                               ...                                          
2019-05-07 02:00:00      NaN      NaN  ...               43.286                  NaN
2019-05-07 03:00:00     50.5     25.0  ...               35.758             0.495050
2019-05-07 04:00:00     45.0     27.7  ...               35.758             0.615556
2019-05-07 05:00:00      NaN     50.4  ...               30.112                  NaN
2019-05-07 06:00:00      NaN     61.9  ...                  NaN                  NaN

[5 rows x 5 columns]

rename()

  : ํ–‰ ๋ ˆ์ด๋ธ”๊ณผ ์—ด ๋ ˆ์ด๋ธ” ๋ชจ๋‘์— ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋‹ค.

    ํ˜„์žฌ ์ด๋ฆ„๊ณผ ์ƒˆ ์ด๋ฆ„์„ ๊ฐ–๋Š” ๋”•์…”๋„ˆ๋ฆฌ๋ฅผ ์ œ๊ณตํ•˜์—ฌ ํ•ด๋‹น ์ด๋ฆ„์„ ์—…๋ฐ์ดํŠธํ•œ๋‹ค.

 

 

๋งคํ•‘์€ ๊ณ ์ •๋œ ์ด๋ฆ„์—๋งŒ ์ œํ•œ๋˜์–ด์„œ๋Š” ์•ˆ ๋˜๋ฉฐ, ๋งคํ•‘ ํ•จ์ˆ˜์ผ ์ˆ˜๋„ ์žˆ๋‹ค.

์˜ˆ๋ฅผ ๋“ค์–ด, ์—ด ์ด๋ฆ„์„ ์†Œ๋ฌธ์ž๋กœ ๋ณ€ํ™˜ํ•˜๋Š” ๊ฒƒ๋„ ํ•จ์ˆ˜๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ๋‹ค

In [10]: air_quality_renamed = air_quality_renamed.rename(columns=str.lower)

In [11]: air_quality_renamed.head()
Out[11]: 
                     betr801  fr04014  ...  london_mg_per_cubic  ratio_paris_antwerp
datetime                               ...                                          
2019-05-07 02:00:00      NaN      NaN  ...               43.286                  NaN
2019-05-07 03:00:00     50.5     25.0  ...               35.758             0.495050
2019-05-07 04:00:00     45.0     27.7  ...               35.758             0.615556
2019-05-07 05:00:00      NaN     50.4  ...               30.112                  NaN
2019-05-07 06:00:00      NaN     61.9  ...                  NaN                  NaN

[5 rows x 5 columns]

 

 

์ •๋ฆฌ

๋Œ€๊ด„ํ˜ธ([]) ์‚ฌ์ด์˜ ์ƒˆ ์—ด ์ด๋ฆ„์œผ๋กœ DataFrame์— ๊ฒฐ๊ณผ๋ฅผ ํ• ๋‹นํ•จ์œผ๋กœ์จ ์ƒˆ ์—ด์„ ์ƒ์„ฑํ•œ๋‹ค
์—ฐ์‚ฐ์€ ์š”์†Œ๋ณ„๋กœ ์ด๋ฃจ์–ด์ง€๋ฏ€๋กœ, ํ–‰์„ ๋ฐ˜๋ณตํ•  ํ•„์š”๊ฐ€ ์—†์Œ
๋”•์…”๋„ˆ๋ฆฌ๋‚˜ ํ•จ์ˆ˜๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ rename ํ•จ์ˆ˜๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ–‰ ๋ ˆ์ด๋ธ” ๋˜๋Š” ์—ด ์ด๋ฆ„์„ ๋ณ€๊ฒฝํ•œ๋‹ค

 

 

 

๋ณธ ๋‚ด์šฉ์€ ๊ณต๋ถ€ ๊ธฐ๋ก์šฉ์œผ๋กœ ์ถœ์ฒ˜๋Š” ํŒ๋‹ค์Šค์˜ ๊ณต์‹๋ฌธ์„œ(How to create new columns derived from existing columns) ์ž…๋‹ˆ๋‹ค