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Can one use the actions collect or take to print only a given column of DataFrame?
This
df.col.collect() gives error
TypeError: 'Column' object is not callable
and this:
df[df.col].take(2) gives
pyspark.sql.utils.AnalysisException: u"filter expression 'col' of type string is not a boolean.;"
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PySpark Select Columns From DataFrame 1. Select Single & Multiple Columns From PySpark You can select the single or multiple columns of the DataFrame by... 2. Select All Columns From List Sometimes you may need to select all DataFrame columns from a Python list. In the below... 3. Select Columns by ...
Formatting the data in Pyspark means showing the appropriate data types of the columns present in the dataset. To display all the headers we use the option () function. This function takes two arguments in the form of strings.
where n is the no of rows to be returned from last in the dataframe. This method is used to select a particular row from the dataframe, It can be used with collect () function. Index is the index number of row to be displayed. Example: Python code to select the particular row.
In this article, you have learned select () is a transformation function of the DataFrame and is used to select single, multiple columns, select all columns from the list, select by index, and finally select nested struct columns, you have also learned how to select nested elements from the DataFrame. Happy Learning !!
select and show:
df.select("col").show() or select, flatMap, collect:
df.select("col").rdd.flatMap(list).collect() Bracket notation (df[df.col]) is used only for logical slicing and columns by itself (df.col) are not distributed data structures but SQL expressions and cannot be collected.
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