“Pandas Produk Cartesian” Kode Jawaban

Produk Pandas Cartesian

a = [1, 2, 3]
b = ["a", "b", "c"]

index = pd.MultiIndex.from_product([a, b], names = ["a", "b"])

pd.DataFrame(index = index).reset_index()

Nasty Narwhal

Pandas Produk Cartesian

# In recent versions of Pandas (>= 1.2) this is built into merge so you can do:
from pandas import DataFrame
df1 = DataFrame({'col1':[1,2],'col2':[3,4]})
df2 = DataFrame({'col3':[5,6]})    

df1.merge(df2, how='cross')

Danila

Mengembalikan produk cartesian dengan bangka lain

# Returns the cartesian product with another DataFrame

df.select("age", "name").collect()
# [Row(age=2, name='Alice'), Row(age=5, name='Bob')]
df2.select("name", "height").collect()
# [Row(name='Tom', height=80), Row(name='Bob', height=85)]
df.crossJoin(df2.select("height")).select(
  "age", "name", "height").collect()
# [Row(age=2, name='Alice', height=80), Row(age=2, name='Alice', height=85), Row(age=55, name='Bob', height=80), Row(age=5, name='Bob', height=85)]

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Jawaban yang mirip dengan “Pandas Produk Cartesian”

Produk Pandas Cartesian

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