Everything you need for AI Performance in one platform.
We decided that Docs should have prime location.
Fundamentals of ML observability
Metrics, feature importance and more
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 […]
An empty DataFrame is one that does not contain any data points (i.e., rows). In this short how-to article, we will learn how to check if a Pandas or PySpark DataFrame is empty.
We can use the empty method which returns True if the DataFrame is empty.
We can also check the number of rows in a DataFrame using the len function or the shape method. If they return 0, then the DataFrame is empty.
len(df) == 0
df.shape == 0
We can count the number of rows using the count method and check if it equals to zero.
df.count() == 0
Another way of checking if a DataFrame is empty is the isEmpty method.