Data/Dacon
Dacon ์์ธ ํ์ง ๊ฒฝ์ง๋ํ
Kirok Kim
2021. 12. 6. 23:50
๋ชฉํ : ์์ธ์ ์ฑ๋ถ ํจ๋์ ๋ถ์ํด์ ํด๋น ์์ธ์ ํ์ง์ ๋ถ๋ฅ
๋ฐ์ดํฐ ๋ถ๋ฌ์ค๊ธฐ
import pandas as pd
import matplotlib.oyplot as plt
import seaborn as sns
from matplotlib import patches
%matplotlib inline
train = pd.read_csv('train.csv')
train.head()
๊ฒฐ์ธก์น ํ์ธ
def check_missing_col(dataframe):
counted_missing_col = 0
for i, col in enumerate(dataframe.columns):
missing_values = sum(dataframe[col].isna())
is_missing = True if missing_values >= 1 else False
if is_missing:
counted_missing_col += 1
print(f'๊ฒฐ์ธก์น๊ฐ ์๋ ์ปฌ๋ผ์: {col}์
๋๋ค')
print(f'์ด {missing_values}๊ฐ์ ๊ฒฐ์ธก์น๊ฐ ์กด์ฌํฉ๋๋ค.')
if i == len(dataframe.columns) - 1 and counted_missing_col == 0:
print('๊ฒฐ์ธก์น๊ฐ ์กด์ฌํ์ง ์์ต๋๋ค')
check_missing_col(train)
๋ฐ์ํ