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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))
