Get rows of 2D array that match a given other row

check_row.py

import numpy as np

foo = np.array([
  [1, 2, 3],
  [1, 2, 3],
  [1, 2, 9],
])

bar = [1, 2, 3]

# Exact match
idx_all = np.apply_along_axis(
  func1d=lambda x: np.equal(x, bar).all(),      # use .all() for perfect match
  axis=1, 
  arr=foo
)

print(foo[idx_all])

# OPTIONAL: partial match
idx_any = np.apply_along_axis(
  func1d=lambda x: np.equal(x, bar).any(),      # use .any() for partial match
  axis=1, 
  arr=foo
)

print(foo[idx_any])