<jupyter_start><jupyter_text>Pattern mining with afdataBelow I've outlined a couple of examples of pattern mining with afdata.You can download the data from the [Bay Area Bike Share's website](http://www.bayareabikeshare.com/open-data).<jupyter_code>import pandas as pd

df = pd.read_csv('../datasets/babs_open_data_year_1/201402_babs_open_data/201402_trip_data.csv')
df
from afdata import pattern_mining
journeys = df[['Start Station', 'End Station']]
pattern_mining.get_frequent_itemsets(journeys, 0.2)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.09925093632958802, 'fraction_numerical': 0.028089887640449437, 'mean_word_length': 7.359375, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 1, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '384487', 'license': 'MIT', 'n_tokens_mistral': 200, 'n_tokens_neox': 180, 'n_words': 43, 'path': 'examples/pattern-mining.ipynb', 'repo_name': 'aaronfalloon/afdata', 'size': '534'}