<jupyter_start><jupyter_text>Loading an Rdata file into a pandas dataframe<jupyter_code>from rpy2.robjects import pandas2ri
pandas2ri.activate()

import rpy2.robjects as robjects
import pandas.rpy.common as com
print(robjects.r.load("/Users/olga/workspace-git/HSMMSingleCell/data/HSMM_expr_matrix.rda"))

trapnell2014_expression = com.load_data('HSMM_expr_matrix')
trapnell2014_expression.head()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.0988235294117647, 'fraction_numerical': 0.02823529411764706, 'mean_word_length': 8.681818181818182, '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': '297968', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 171, 'n_tokens_neox': 163, 'n_words': 24, 'path': 'notebooks/1.X_unused_code.ipynb', 'repo_name': 'YeoLab/single-cell-bioinformatics', 'size': '425'}