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In this short how-to article, we will learn how to select multiple columns in Pandas and PySpark DataFrames.
We can select multiple columns by writing them in a list.
cols = ["f2", "f4"] df[cols]
The iloc method can be used for selecting columns based on their indices. Consider you have a DataFrame with 30 columns and you want to select the first 10. You can perform this task as follows:
# Select the first 10 columns df.iloc[:,:10] # Select from the second to fifth df.iloc[:,2:5]
The select function can be used for selecting multiple columns from a PySpark DataFrame.
# first method df.select("f1", "f2") # second method df.select(df.f1, df.f2)
