<jupyter_start><jupyter_text>Group objects<jupyter_code>import k3d

positions=[[0,0,0], [0,1,3], [2,2,1]]

group = k3d.points(positions, point_size=0.2, shader='mesh') + \
    k3d.line(positions, shader='mesh', width=0.05)
group 
group + k3d.mesh(positions, [0,1,2], color=0xff70ca)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1955128205128205, 'fraction_numerical': 0.07692307692307693, 'mean_word_length': 7.942857142857143, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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': '322920', 'license': 'MIT', 'n_tokens_mistral': 149, 'n_tokens_neox': 139, 'n_words': 18, 'path': 'docs/source/basic_functionality/Group.ipynb', 'repo_name': 'pevers/K3D-jupyter', 'size': '312'}