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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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We’re excited 😁 to share that Forbes has named Aporia a Next Billion-Dollar Company. This recognition comes on the heels of our recent $25 million Series A funding and is a huge testament that Aporia’s mission and the need for trust in AI are more relevant than ever. We are very proud to be listed […]
A DataFrame might contain hundreds of even thousands of columns. It is not possible to visually check if a column exists in such DataFrames.
In this short how-to article, we will learn a practical way of performing this operation in Pandas and PySpark DataFrames.
We can use the in keyword for this task.
"f128" in df.columns
It returns True if the given column exists in the DataFrame.
The exact same operation works in PySpark as well.