<jupyter_start><jupyter_text>Note that the below filepath has a different file format from the files returned by NSIDC. I've edited the pattern to match the NSIDC ones that have been subset.<jupyter_code>filepath = '/Users/jessica/computing/icepyx/test_data/ATL06-20181214041627-Sample.h5'
path = '/Users/jessica/computing/icepyx/test_data/'
pattern='processed_ATL{product:2}_{datetime:%Y%m%d%H%M%S}_{rgt:4}{cycle:2}{orbitsegment:2}_{version:3}_{revision:2}.h5'
reader = rdr.Read(filepath, pattern)
reader.build_catalog()
reader.catalog
reader.catalog.gui
reader.catalog["is2_local"].read()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.13548387096774195, 'fraction_numerical': 0.04032258064516129, 'mean_word_length': 8.132352941176471, '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': '253922', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 234, 'n_tokens_neox': 223, 'n_words': 40, 'path': 'notebooks/ICESat-2_to_Xarray_Ex.ipynb', 'repo_name': 'bessoh2/integration_station', 'size': '620'}