Table Export

for table_ix, table in enumerate(conv_res.document.tables):
    # Convert to pandas DataFrame
    table_df: pd.DataFrame = table.export_to_dataframe(doc=conv_res.document)
    
    # Print as Markdown (requires tabulate: pip install tabulate)
    print(f"## Table {table_ix}")
    print(table_df.to_markdown())
    
    # Save as CSV
    csv_filename = output_dir / f"{doc_filename}-table-{table_ix + 1}.csv"
    print(f"Saving CSV table to {csv_filename}")
    table_df.to_csv(csv_filename)
    
    # Save as HTML
    html_filename = output_dir / f"{doc_filename}-table-{table_ix + 1}.html"
    print(f"Saving HTML table to {html_filename}")
    with html_filename.open("w") as fp:
        fp.write(table.export_to_html(doc=conv_res.document))

table_df = table.export_to_dataframe(doc=conv_res.document)

# Filter rows
filtered = table_df[table_df['column_name'] > 100]

# Group and aggregate
grouped = table_df.groupby('category').sum()

# Export to Excel
table_df.to_excel("table.xlsx", index=False)

# Convert to JSON
json_str = table_df.to_json(orient='records')

from pathlib import Path
import pandas as pd
from docling.document_converter import DocumentConverter

input_doc_path = Path("document.pdf")
output_dir = Path("scratch")
output_dir.mkdir(parents=True, exist_ok=True)

doc_converter = DocumentConverter()
conv_res = doc_converter.convert(input_doc_path)

doc_filename = conv_res.input.file.stem

for table_ix, table in enumerate(conv_res.document.tables):
    # Convert to DataFrame
    table_df = table.export_to_dataframe(doc=conv_res.document)
    
    # Print summary
    print(f"\n=== Table {table_ix + 1} ===")
    print(f"Shape: {table_df.shape}")
    print(f"Columns: {list(table_df.columns)}")
    
    # Save as CSV
    csv_path = output_dir / f"{doc_filename}-table-{table_ix + 1}.csv"
    table_df.to_csv(csv_path, index=False)
    print(f"Saved CSV: {csv_path}")
    
    # Save as HTML
    html_path = output_dir / f"{doc_filename}-table-{table_ix + 1}.html"
    with html_path.open("w") as fp:
        fp.write(table.export_to_html(doc=conv_res.document))
    print(f"Saved HTML: {html_path}")