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| import pyspark.pandas as ps | |
| # data path in HDFS | |
| loans_filename = '/FileStore/tables/loans.csv' | |
| loans_df = ps.read_csv( | |
| loans_filename, | |
| header=None, | |
| names=['loan_amount', 'address', 'created_at', 'funded_at'], | |
| infer_datetime_format=True, | |
| parse_dates=['created_at', 'funded_at'] | |
| ) |
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