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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 […]
DataFrame is a two-dimensional data structure with labeled rows and columns. We can always add new columns or rows to a DataFrame.
In this short how-to article, we will learn how to add a new column of a constant value to Pandas and PySpark DataFrames.
It is a quite simple operation in Pandas.
df["Bonus"] = 100
We can perform this task using the withColumn and lit functions as below:
from pyspark.sql import functions as F df = df.withColumn("Bonus", F.lit(100))
