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We’re super excited to share that Aporia is now the first ML observability offering integration to the Databricks Lakehouse Platform. This partnership means that you can now effortlessly automate your data pipelines, monitor, visualize, and explain your ML models in production. Aporia and Databricks: A Match Made in Data Heaven One key benefit of this […]
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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"]
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
# Select from the second to fifth
The select function can be used for selecting multiple columns from a PySpark DataFrame.
# first method
# second method