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I come from pandas background and am used to reading data from CSV files into a dataframe and then simply changing the column names to something useful using the simple command df columns 105 pyspark.sql.functions.when takes a Boolean Column as its condition. When using PySpark, it's often useful to think "Column Expression" when you read "Column". Logical operations on PySpark columns use the bitwise operators: & for and | for or ~ for not When combining these with comparison operators such as <, parenthesis are often needed.
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Pyspark Codedisplay is not a function, PySpark provides functions like head, tail, show to display data frame. Jun 28 2018 nbsp 0183 32 Pyspark explode json in column to multiple columns Asked 7 years 1 month ago Modified 4 months ago Viewed 87k times
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