| # -*- encoding: UTF-8 -*- | |
| import pandas as pd | |
| # 指定parquet文件的路径 | |
| file_path = '/home/yiyangai/stephenqs/datasets/physics_big/data/combined_images_non_empty.parquet' | |
| # 读取parquet文件 | |
| df = pd.read_parquet(file_path) | |
| # 获取所有的列名（假设这些列名代表子类） | |
| columns = df.columns | |
| # 遍历所有子类并输出前五条消息 | |
| for column in columns: | |
| print(f"--- {column} (前五条消息) ---") | |
| print(df[column].head()) | |
| print("\n") | |
| # | |
| ## Replace 'file_path' with the path to your Parquet file | |
| #file_path = '/home/yiyangai/stephenqs/datasets/physics_big/data/00001.parquet' | |
| # | |
| ## Read the Parquet file | |
| #df = pd.read_parquet(file_path, engine='pyarrow') # or use 'fastparquet' as engine | |
| # | |
| ## Display the entire DataFrame | |
| #print("Full DataFrame:") | |
| #print(df) | |
| # | |
| ## Display the first 5 rows of the DataFrame | |
| #print("\nFirst 5 rows:") | |
| #print(df.head()) | |
| # | |
| ## Display basic information about the DataFrame | |
| #print("\nDataFrame Info:") | |
| #print(df.info()) | |
| # | |
| ## Display summary statistics of the DataFrame | |
| #print("\nSummary Statistics:") | |
| #print(df.describe()) | |