<jupyter_start><jupyter_text>Figure 5h<jupyter_code>path_to_excelfile_model = os.path.join(
    path_to_all_source_data,
    "Source_Data_Figure_5",
    "SourceData_Fig5b.xlsx"
)
excelfile = pd.ExcelFile(path_to_excelfile_model)
excelfile.sheet_names
data_model = pd.read_excel(
    excelfile, 
    sheet_name=excelfile.sheet_names[0]
)
path_to_excelfile_tumours = os.path.join(
    path_to_all_source_data,
    "Source_Data_Figure_5",
    "SourceData_Fig5h.xlsx"
)
excelfile = pd.ExcelFile(path_to_excelfile_tumours)
excelfile.sheet_names
data_tumours = pd.read_excel(
    excelfile, 
    sheet_name=excelfile.sheet_names[0]
)
plot_data(
    data_model,
    data_tumours
)<jupyter_output>No handles with labels found to put in legend.
{'fraction_non_alphanumeric': 0.08707482993197278, 'fraction_numerical': 0.009523809523809525, 'mean_word_length': 5.571428571428571, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '46529', 'license': 'MIT', 'n_tokens_mistral': 315, 'n_tokens_neox': 304, 'n_words': 37, 'path': 'Scripts for making figures/scatterCloneDiversityTumourSize.ipynb', 'repo_name': 'iamfuxiao/tumour-growth-patterns-impact-evolution', 'size': '735'}