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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.