您可以从列表中创建sparkDataframe，然后执行左联接：

import pyspark.sql.functions as F

times = [['a', 2, 3], ['a', 5, 6], ['b', 2, 4]]
times_df = spark.createDataFrame(times, ['G', 'T0', 'T1'])

result = df.join(
    times_df,
    (df['G'] == times_df['G']) & 
    df['T'].between(times_df['T0'], times_df['T1']),
    'left'
).select(
    df['*'],
    F.when(times_df['G'].isNotNull(), F.lit(True)).alias('need')
)

result.show()
+---+---+----+
|  G|  T|need|
+---+---+----+
|  b|  1|null|
|  b|  2|true|
|  b|  3|true|
|  b|  4|true|
|  a|  1|null|
|  a|  2|true|
|  a|  3|true|
|  a|  4|null|
|  a|  5|true|
|  a|  6|true|
|  a|  7|null|
+---+---+----+