1-8-plot.py

def plot(loss_list, predictions_series, batchX, batchY):
    plt.subplot(2, 3, 1)
    plt.cla()
    plt.plot(loss_list)

    for batch_series_idx in range(5):
        one_hot_output_series = np.array(predictions_series)[:, batch_series_idx, :]
        single_output_series = np.array([(1 if out[0] < 0.5 else 0) for out in one_hot_output_series])

        plt.subplot(2, 3, batch_series_idx + 2)
        plt.cla()
        plt.axis([0, truncated_backprop_length, 0, 2])
        left_offset = range(truncated_backprop_length)
        plt.bar(left_offset, batchX[batch_series_idx, :], width=1, color="blue")
        plt.bar(left_offset, batchY[batch_series_idx, :] * 0.5, width=1, color="red")
        plt.bar(left_offset, single_output_series * 0.3, width=1, color="green")

    plt.draw()
    plt.pause(0.0001)