Jun 9, 2019 — which also supports regex pattern = r"[a-zA-Z0-9] " df_filtered_regex = df.filter([df_filtered.c.rlike(pattern) for c in df.columns]).collect()`.
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regex-on-column-pyspark
939c2ea5af
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