Pyspark: Split And Select Part Of The String Column Values
How can I select the characters or file path after the Dev\” and dev\ from the column in a spark DF? Sample rows of the pyspark column: \\D\Dev\johnny\Desktop\TEST \\D\Dev\matt\
Solution 1:
The following modification [Dd]
matches both upper and lower case d
.
df = df.withColumn(
"sub_path",
F.element_at(F.split(F.col("path"), "[Dd]ev\\\\"), -1)
)
Let me know if this works for you.
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