aftrekken

Retourneert een nieuw DataFrame met rijen in dit DataFrame, maar niet in een ander DataFrame.

Syntaxis

subtract(other: "DataFrame")

Parameterwaarden

Retouren

DataFrame: DataFrame afgetrokken.

Aantekeningen

Dit komt overeen met EXCEPT DISTINCT in SQL.

Examples

df1 = spark.createDataFrame([("a", 1), ("a", 1), ("b", 3), ("c", 4)], ["C1", "C2"])
df2 = spark.createDataFrame([("a", 1), ("a", 1), ("b", 3)], ["C1", "C2"])
result_df = df1.subtract(df2)
result_df.show()
# +---+---+
# | C1| C2|
# +---+---+
# |  c|  4|
# +---+---+

df1 = spark.createDataFrame([(1, "A"), (2, "B")], ["id", "value"])
df2 = spark.createDataFrame([(2, "B"), (3, "C")], ["id", "value"])
result_df = df1.subtract(df2)
result_df.show()
# +---+-----+
# | id|value|
# +---+-----+
# |  1|    A|
# +---+-----+