아미(아름다운미소)

cols = ['col1', 'col2', 'col3'] # category로 바꿀 컬럼 리스트df[cols] = df[cols].apply(lambda x: x.astype('category'))import pandas as pdimport numpy as np# 예시 데이터 생성df = pd.DataFrame({ 'col1': np.random.choice(['apple', 'banana', 'cherry'], 1_000_000), 'col2': np.random.choice(['red', 'green', 'blue'], 1_000_000), 'col3': np.random.choice(['small', 'medium', 'large'], 1_000_000)})# 🔍 메모리 사용량..

import pandas as pddf1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]}, index=['x', 'y'])df2 = pd.DataFrame({'A': [5, 6], 'C': [7, 8]}, index=['x', 'y'])# Left join with drop=Falseresult = df1.join(df2.set_index('A', drop=False), how='left', # 명시적으로 left join 지정 lsuffix='_left', rsuffix='_right')print(result)

from concurrent.futures import ThreadPoolExecutorimport numpy as npimport pandas as pddef safe_parallel_merge(df1, df2, left_key, right_key=None, n_partitions=4, how='left'): """ 개선된 병렬 merge 함수 - 안정성 강화 버전 Parameters: - df1: 왼쪽 DataFrame - df2: 오른쪽 DataFrame - left_key: df1의 조인 키 (컬럼명 또는 컬럼 리스트) - right_key: df2의 조인 키 (None이면 left_key와 동일) - n_partitions: 분할 개수 - ..

import polars as pldef process_dataframe_optimized_pl(dict_df_types: dict, df: pl.DataFrame) -> pl.DataFrame: def handle_column(col: str, dtype: str) -> pl.Expr: try: expr = pl.col(col) if dtype == 'int': return expr.cast(pl.Int32).fill_null(0).alias(col) elif dtype == 'float': return expr.cast(pl.Float32).fill_null(0).alia..

import pandas as pddef convert_object_columns_to_str(df: pd.DataFrame) -> pd.DataFrame: """ Pandas DataFrame에서 object 타입 컬럼을 모두 문자열(str)로 변환합니다. Parameters: df (pd.DataFrame): 변환할 DataFrame Returns: pd.DataFrame: 문자열 컬럼이 str 타입으로 변환된 DataFrame """ df = df.copy() for col in df.select_dtypes(include='object').columns: df[col] = df[col].astype(str) ..

import pandas as pd# 샘플 DataFrame 생성df = pd.DataFrame({'A': [1, 2, None, 4], 'B': ['x', None, 'z', 'w']})# 1. len() 함수 사용 (가장 일반적)row_count = len(df)print(f"행 수 (len): {row_count}")# 2. shape 속성 사용row_count = df.shape[0] # shape는 (행수, 열수) 튜플 반환print(f"행 수 (shape): {row_count}")# 3. index 길이 확인row_count = df.index.sizeprint(f"행 수 (index): {row_count}")# 4. 각 열별 결측값(None/NaN) 개수 확인print("\n각 열별 결..

-- 특정 프로시저 내용 확인SELECT text FROM all_source WHERE name = '프로시저명' AND type = 'PROCEDURE' ORDER BY line;-- 모든 프로시저 목록SELECT object_name FROM all_objects WHERE object_type = 'PROCEDURE';

1. 📦 앱 제거sudo rm -rf /Applications/Android\ Studio.app2. 🧹 설정 및 캐시 제거rm -rf ~/Library/Application\ Support/Google/AndroidStudio*rm -rf ~/Library/Preferences/AndroidStudio*rm -rf ~/Library/Logs/AndroidStudio*rm -rf ~/Library/Caches/AndroidStudio*rm -rf ~/.androidrm -rf ~/.gradlerm -rf ~/Library/Android ✅ 삭제 방법 (macOS) : (선택) SDK도 삭제할 경우rm -rf ~/Library/Android/sdk🧹 전체 삭제 명령어 (복사해서 터미널에 붙여 넣기)#..

import sysimport osimport pandas as pdimport pyarrow as paimport pyarrow.parquet as pqimport jsonfrom PyQt5.QtWidgets import ( QApplication, QMainWindow, QTableView, QFileDialog, QVBoxLayout, QWidget, QPushButton, QLabel, QStatusBar, QMessageBox, QLineEdit, QHBoxLayout, QComboBox, QHeaderView, QProgressDialog)from PyQt5.QtCore import ( Qt, QAbstractTableModel, QSortFilterProxyMode..

import sysimport osimport pandas as pdimport pyarrow as paimport pyarrow.parquet as pqimport jsonimport tracebackfrom concurrent.futures import ThreadPoolExecutorfrom PyQt5.QtWidgets import ( QApplication, QMainWindow, QTableView, QFileDialog, QVBoxLayout, QWidget, QPushButton, QLabel, QStatusBar, QMessageBox, QLineEdit, QHBoxLayout, QComboBox, QHeaderView, QProgressDialog, QCheckBox..