Social Statistics Seminar ChatGPT said:

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from pathlib import Path

Define the input text

input_text = “”“"""

Split into file sections based on “# File n:” markers

file_sections = input_text.split(“# File “)[1:] # Ignore anything before the first file marker

Create files from the parsed content

base_path = Path(“/mnt/data/split_files”) base_path.mkdir(parents=True, exist_ok=True)

file_paths = []

for section in file_sections: header, content = section.split(“:”, 1) file_number = header.strip() file_name_line, file_content = content.strip().split(“\n”, 1) file_name = file_name_line.strip() file_path = base_path / file_name file_path.write_text(file_content.strip()) file_paths.append(file_path)

import ace_tools as tools; tools.display_dataframe_to_user(name=”Split Files List”, dataframe={“File Name”: [f.name for f in file_paths], “Path”: [str(f) for f in file_paths]})

AttributeError Traceback (most recent call last) Cell In[1], line 24 21 file_path.write_text(file_content.strip()) 22 file_paths.append(file_path) —> 24 import ace_tools as tools; tools.display_dataframe_to_user(name=”Split Files List”, dataframe={“File Name”: [f.name for f in file_paths], “Path”: [str(f) for f in file_paths]})

File ~/.local/lib/python3.11/site-packages/ace_tools/init.py:132, in display_dataframe_to_user(name, dataframe) 127 file_name = re.sub(r”[^a-zA-Z0-9-]”, “”, name) 128 modified_csv_path = f”/mnt/data/{file_name}.csv” –> 132 if isinstance(dataframe.index, pd.RangeIndex): 133 dataframe.to_csv(modified_csv_path, index=False) 134 else:

AttributeError: ‘dict’ object has no attribute ‘index’

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import pandas as pd

Create a DataFrame from the file paths

df = pd.DataFrame({ “File Name”: [f.name for f in file_paths], “Path”: [str(f) for f in file_paths] })

Display the DataFrame to the user

tools.display_dataframe_to_user(name=”Split Files List”, dataframe=df)

Result

Empty DataFrame Columns: [File Name, Path] Index: []

Split Files List Unable to display visualization

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Re-running the splitting logic with correct input text loaded from the user’s message

input_text = “””