Extracting the n-th value of lists in PySpark DataFrame
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Consider the following PySpark DataFrame:
my_col contains some lists.
Extracting a single value from arrays in PySpark Column
To extract the second value of each list in
Here, we are assigning a label to the
Column returned by
Equivalently, we can use the
element_at(~) method instead of using the
element_at(~) does not use index-based positioning - the second value in a list is denoted by position 2.
Extracting values from the back
This is not possible using the
[~] syntax or the
In case of out-of-bound indexes
Specifying out-of-bound indexes will return
Extracting multiple values from arrays in PySpark Column
To extract multiple values from arrays in a PySpark Column:
Here, we are extracting the first as well as second values of each list.
Equivalently, we could use
element_at(~) once again:
Again, you can provide an alias for each column by using the
element_at(~)method is used to extract values from lists or maps in a PySpark Column.
getItem(~)method extracts a value from the lists or dictionaries in a PySpark Column.