How to remove array rows that contain only 0 using NumPy?

import numpy as np
# take data
data = np.array([[1, 2, 3], [0, 0, 0], [4, 5, 6],
                 [0, 0, 0], [7, 8, 9], [0, 0, 0]])
# print original data having rows with all zeroes
print("Original Dataset")
print(data)
# remove rows having all zeroes
data = data[~np.all(data == 0, axis=1)]
# data after removing rows having all zeroes
print("After removing rows")
print(data)

import numpy as np
# take random data
# random.choice(x,y) will pick y elements from range (0,(x-1))
data = np.random.choice(10, 20)
# specify the dimensions of data i.e (rows,columns)
data = data.reshape(5, 4)
# print original data having rows with all zeroes
print("Original Dataset")
print(data)
# make some rows entirely zero
data[1, :] = 0  # making 2nd row entirely 0
data[4, :] = 0  # making last row entirely 0
# after making 2nd and 5th row as 0
print("After making some rows as entirely 0")
print(data)
data = data[~np.all(data == 0, axis=1)]
# data after removing rows having all zeroes
print("After removing rows")
print(data)