如何使用两个随机变量列表在python中创建点列表（二维数组）

Question

I try to train a Perceptron using some random data. It seems my data doesn't match the format of inputs for the Perceptron class:

Here is the way I tray to create my data:

Q1 = 100
X1 = 1 + 0.5*np.random.randn(Q1,1)
X2 = 1 + 0.5*np.random.randn(Q1,1)


my_training_inputs = np.array(list(zip(X1, X2)))
my_labels = np.ones((len(X1),))

Here is the format I must prepare my data above:

training_inputs = []
training_inputs.append(np.array([1, 1]))
training_inputs.append(np.array([1, 0]))
training_inputs.append(np.array([0, 1]))
training_inputs.append(np.array([0, 0]))

labels = np.array([1, 0, 0, 0])

How can I prepare my data in this format?

Answer 1

Use np.concatenate :

Q1 = 100
X1 = 1 + 0.5*np.random.randn(Q1,1)
X2 = 1 + 0.5*np.random.randn(Q1,1)

my_training_inputs = np.concatenate((X1,X2), axis=1)
my_labels = np.ones((len(X1),))   

print(my_labels.shape)
#(100,)

print(my_training_inputs.shape)
#(100, 2)

#print the 4 first samples (inputs)
print(my_training_inputs[0:4])
#array([[0.754558  , 0.76998302],
#       [0.0716354 , 1.34796436],
#       [1.25007314, 1.61079584],
#       [0.74931903, 0.9899375 ]])

Answer 2

You must not add brackets in the definition of X1 and X2 , because np.random.randn(Q1,1) already is an array. Simply replace the definition of X1 and X2 by this:

X1 = 1 + 0.5*np.random.randn(Q1,1)
X2 = 1 + 0.5*np.random.randn(Q1,1)