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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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The DataFrames we work with in real life are quite large and contain lots of columns. In some cases, it is not practical to visually check the column names and we want them in a list.
In this short how-to article, we will learn how to create a list from column names in Pandas and PySpark DataFrames.
The columns method returns an Index object which contains all the column names. It can be converted to a list by using the list constructor or the tolist method.
# with list constructor col_list = list(df.columns) # with tolist method col_list = df.columns.tolist()
The columns method in PySpark returns a list of columns. Thus, we do not need an additional operation.
col_list = df.columns
