isEmpty

Checks if the DataFrame is empty and returns a boolean value.

Syntax

isEmpty()

Returns

bool: Returns True if the DataFrame is empty, False otherwise.

Notes

An empty DataFrame has no rows. It may have columns, but no data.

Examples

df_empty = spark.createDataFrame([], 'a STRING')
df_empty.isEmpty()
# True

df_non_empty = spark.createDataFrame(["a"], 'STRING')
df_non_empty.isEmpty()
# False

df_nulls = spark.createDataFrame([(None, None)], 'a STRING, b INT')
df_nulls.isEmpty()
# False

df_no_rows = spark.createDataFrame([], 'id INT, value STRING')
df_no_rows.isEmpty()
# True