File size: 1,538 Bytes
1e321b4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | import pandas as pd
import os
import sys
def export_all_sheets_to_csv(ods_file_path, output_directory="."):
"""
Export all sheets from an ODS file to separate CSV files
"""
try:
# Read all sheets from ODS file
all_sheets = pd.read_excel(ods_file_path, sheet_name=None, engine='odf')
# Get base filename without extension
base_name = os.path.splitext(os.path.basename(ods_file_path))[0]
print(f"Found {len(all_sheets)} sheets in {ods_file_path}")
# Export each sheet to CSV
for sheet_name, df in all_sheets.items():
# Create filename: basename_sheetname.csv
csv_filename = f"{base_name}_{sheet_name}.csv"
csv_path = os.path.join(output_directory, csv_filename)
# Export to CSV with UTF-8 encoding (important for multilingual content)
df.to_csv(csv_path, index=False, encoding='utf-8')
print(f"✓ Exported: '{sheet_name}' -> {csv_filename} ({len(df)} rows)")
print(f"\nAll sheets exported to: {os.path.abspath(output_directory)}")
except Exception as e:
print(f"Error: {e}")
return False
return True
if __name__ == "__main__":
if len(sys.argv) < 2:
print("Usage: python export_sheets.py <ods_file> [output_directory]")
sys.exit(1)
ods_file = sys.argv[1]
output_dir = sys.argv[2] if len(sys.argv) > 2 else "."
export_all_sheets_to_csv(ods_file, output_dir)
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