How to implement guide with csv file writing in python using pandas - unexpected empty rows
I'm confused about I'm trying to debug I'm a bit lost with I'm currently working with an scenario while trying to write a DataFrame to a CSV file using the `pandas` library (version 1.3.3). After executing my code, the resulting CSV file contains unexpected empty rows, which isn't what I intended. I've ensured that my DataFrame is populated correctly before writing it to the CSV. Here's the code snippet I've used: ```python import pandas as pd data = { 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35], } df = pd.DataFrame(data) # This is the line that writes to CSV # Note: I want to append to the file if it already exists # since later I might add more data try: df.to_csv('output.csv', mode='a', header=False, index=False) except Exception as e: print(f'behavior: {e}') ``` I've double-checked that I'm writing without headers and the index is set to False, which should prevent any extra columns. However, when I check the `output.csv` file, I see extra empty lines in between the rows. Upon further inspection, I realized that when I append to the file, it's adding extra newline characters, which might be causing the empty rows. This doesn't happen when I write to a new file. I've tried setting `line_terminator` in the `to_csv` function: ```python df.to_csv('output.csv', mode='a', header=False, index=False, line_terminator='\n') ``` But this hasn't resolved the scenario. I've also verified that my DataFrame does not include any NaN or empty string entries. Does anyone have any insight into why this might be happening and how I can avoid these empty rows when appending to the CSV? My development environment is Linux. Has anyone else encountered this? This is for a CLI tool running on Linux. I'd be grateful for any help. I'm on Ubuntu 20.04 using the latest version of Python. Thanks for any help you can provide!