python_pandas_2 - 8BitsCoding/RobotMentor GitHub Wiki


๋ฐ์ดํ„ฐ ๋ถˆ๋Ÿฌ์˜ค๊ธฐ

import pandas as pd

df = pd.read_csv('<csv file>')
# csv file์ด ์•„๋‹ˆ๋”๋ผ๋„ ๋ฐ์ดํ„ฐ ํ˜•์‹๋งŒ ๊ฐ™๋‹ค๋ฉด ๋™์ผํ•˜๊ฒŒ txtํŒŒ์ผ๋„ ๋ถˆ๋Ÿฌ์˜ฌ ์ˆ˜ ์žˆ์Œ.

๋งŒ์•ฝ ๋ฐ์ดํ„ฐ์˜ ๊ตฌ๋ถ„ ๋‹จ์œ„๊ฐ€ ','๊ฐ€ ์•„๋‹Œ ๋‹ค๋ฅธ ๋ฌธ์ž๋ผ๋ฉด

df = pd.read_csv('<csv file>', delimiter='\t\)
# tab์„ ์˜ˆ์‹ค ๋“ค์—ˆ์Œ.

๋งŒ์•ฝ ๋ฐ์ดํ„ฐ์˜ ํ—ค๋”๊ฐ€ ์—†์œผ๋ฉด ์ฒซ๋ฒˆ์งธ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ์ดํ„ฐ ํ—ค๋”๋กœ ์žก๋Š”๋‹ค

๋ฐฉ์ง€ํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ•

df = pd.read_csv('<csv_file>', header=None)

ํ—ค๋”๋ฅผ ๋„ฃ๋Š” ๋ฐฉ๋ฒ•์€

df.columns = ['<h1>','<h2>','<h3>']
# Or
df = pd.read_csv('<csv_file>', header=None, names=['<h1>','<h2>','<h3>'])
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