python - 在python中连接多个数组

Question

我有这个代码用于连接两个数组。

import numpy as np
from hmmlearn import hmm
model = hmm.MultinomialHMM(n_components=3, n_iter=10,algorithm='map',tol=0.00001)
sequence3 = np.array([[2, 1, 0, 1]]).T
sequence4 = np.array([[2, 1, 0, 1, 1]]).T
sample = np.concatenate([sequence3, sequence4])
lengths = [len(sequence3), len(sequence4)]
model.fit(sample,lengths)

并且它工作正常。但现在如果我有两个以上的数组。假设我有 10 个数组。我怎样才能完成相同的过程？

import numpy as np
from hmmlearn import hmm
model = hmm.MultinomialHMM(n_components=3, n_iter=10,algorithm='map',tol=0.00001)
sample = np.array([])
lengths = []
for i in range(1:10)
    ?????????????
model.fit(sample,lengths)

Answer 1

为了连接多个数组，只需将该数组与所有先前数组的连接连接起来即可。

# Create arrays
arrays=[
    np.array([1,2,3]),
    np.array([4,5,6]),
    np.array([7,8,9])
]

# Create an array to return to
sample = np.array([])

for array in arrays:
    sample = np.concatenate([sample, array])

# Print results
print('sample', sample)
print('length', len(sample))