python groupby sum single columns
df.groupby(['A','C'], as_index=False)['B'].sum()
python groupby sum single columns
df.groupby(['A','C'], as_index=False)['B'].sum()
Aggregate on the entire DataFrame without group
# Aggregate on the entire DataFrame without group
df.agg({"age": "max"}).collect()
# [Row(max(age)=5)]
from pyspark.sql import functions as F
df.agg(F.min(df.age)).collect()
# [Row(min(age)=2)]
how can i aggregate without group by in pandas
df.groupby(lambda _ : True).agg(new_col_name = ('col_name', 'agg_function'))
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