Camelot-py依赖项咨询：是否需单独安装pandas及完整依赖列表确认

• Q1: What specific role does pandas play in Camelot-py?
  Pandas is core to handling structured tabular data output from Camelot's PDF table extraction. When you pull tables from PDFs using Camelot, you can convert the raw extracted data into a pandas DataFrame via the table.df attribute. This lets you use all of pandas' data manipulation tools—like cleaning messy rows, filtering columns, merging tables, or exporting to CSV/Excel—directly with your extracted content. Camelot also relies on DataFrames under the hood for some internal data structuring when managing table outputs.

• Q2: Is pandas built into Camelot-py, or do I need to install it separately?
  No, pandas is not included with a base Camelot-py installation. The official core dependencies are only Tkinter and Ghostscript. Pandas is treated as an optional dependency because it's only required if you plan to work with DataFrame outputs. If you try to access table.df without pandas installed, you'll run into an import error.

• Q3: If separate installation is needed, should I include pandas in my dependency request list?
  Absolutely. If your project will use any features that rely on pandas (which it sounds like, since you're referencing DataFrames in the docs), you must add pandas to your dependency approval list. The base Camelot-py installation won't automatically install pandas, so you'll need to explicitly request it to avoid runtime errors when working with extracted table data as DataFrames.

内容的提问来源于stack exchange，提问作者Xlite