# 데이터 정제와 결손값의 처리# how -> any, all# weather.dropna(axis=0, how='any', inplace=True)pure_weather = weather.dropna(axis=0, how='any', inplace=False)print(pure_weather)print(pure_weather.shape)missing_data = weather[weather['평균풍속'].isna()]print(missing_data)print(weather[weather.isnull().any(axis=1)])print(weather.describe())print(pure_weather.describe())d_df = pd.DataFrame(data = [[10,20,30,40], ..