This function opens a Jupyter notebook file and searches for a specific pattern in the outputs of the code cells. If the pattern is found, it returns the first group of the match as a float.

grab value from notebook.py

import codecs
import nbformat
import re

def grab_value_from_notebook(file_path, pattern):
    """
    This function opens a Jupyter notebook file and searches for a specific pattern in the outputs of the code cells.
    If the pattern is found, it returns the first group of the match as a float.
    """
    
    # Open the notebook file
    with codecs.open(file_path, 'r', encoding='utf-8') as file:
        notebook = nbformat.read(file, as_version=4)

    # Iterate over the cells in the notebook
    for cell in notebook.cells:
        # Check if the cell is a code cell
        if cell.cell_type == "code":
            # Check if the cell has outputs
            if cell.outputs:
                # Parse the outputs of the cell
                for output in cell.outputs:
                    if output.output_type == "display_data":
                        for data_type, data_value in output.data.items():
                            if data_type == "text/html":
                                # Search for the pattern in the output data
                                match = re.search(pattern, data_value)
                                if match:
                                    # The first group contains the value of Re
                                    grab_res = match.group(1)

                                    # Return the value as a float
                                    return float(grab_res)

def grab_str_from_notebook(file_path, pattern):
    with codecs.open(file_path, 'r', encoding='utf-8') as file:
        notebook = nbformat.read(file, as_version=4)

    # Iterate over the cells
    for cell in notebook.cells:
        # Check if the cell is a code cell
        if cell.cell_type == "code":
            # Check if the cell has outputs
            if cell.outputs:
                # Parse the outputs
                for output in cell.outputs:
                    if output.output_type == "display_data":
                        for data_type, data_value in output.data.items():
                            if data_type == "text/html":
                                # Search for the pattern
                                match = re.search(pattern, data_value)
                                if match:
                                    # The first group contains the value of Re
                                    grab_res = match.group(1)

                                    return str(grab_res)