目录

T1:国际象棋：

​编辑

         官方题解：(采用numpy的切片)

         其他较好题解：

         官方题解：(采用numpy的切片)

import numpy as np
def create_metrix() -> np.ndarray:
    chessBoard = np.zeros((8, 8), dtype=int)
    chessBoard[1::2, ::2] = 1
    chessBoard[::2, 1::2] = 1
    return chessBoard  

关键在于： 维度的理解（第0维表示x轴横向，第1维表示y轴纵向） 

相关切片的讲解文章https://blog.csdn.net/weixin_36670529/article/details/111307004

         其他较好题解：

import numpy as np
def create_metrix() -> np.ndarray:
    metrix = np.zeros((8, 8), dtype=int)
    for x in range(8):
        for y in range(8):
            if (x+y) % 2 != 0:
                metrix[x][y] = 1
    return metrix

T2:subplot绘图

 

 官方题解：

# coding: utf-8
import matplotlib.pyplot as plt


def subplot_image(input_dir: str):
    """
    :param input_dir: The direction of input image, like: '../input/img.png'
    """
    # write your code here
    img=plt.imread(input_dir)
    for i in range(4):
        k=i+1
        plt.subplot(2,2,k)
        plt.imshow(img)

 其他解法：

# coding: utf-8
import matplotlib.pyplot as plt


def subplot_image(input_dir: str):
    """
    :param input_dir: The direction of input image, like: '../input/img.png'
    """
    # write your code here
    data = plt.imread(input_dir)
    
    # way-1
    fig,axs = plt.subplots(2,2)
    axs[0,0].imshow(data)
    axs[0,1].imshow(data)
    axs[1,0].imshow(data)
    axs[1,1].imshow(data)

    #way-2
    # plt.subplot(2,2,1)
    # plt.imshow(data)
    # plt.subplot(2,2,2)
    # plt.imshow(data)
    # plt.subplot(2,2,3)
    # plt.imshow(data)
    # plt.subplot(2,2,4)
    # plt.imshow(data)

    # way-3
    # fig = plt.figure()
    # ax1 = fig.add_subplot(221)
    # ax1.imshow(data)
    # ax2 = fig.add_subplot(222)
    # ax2.imshow(data)
    # ax3 = fig.add_subplot(223)
    # ax3.imshow(data)
    # ax4 = fig.add_subplot(224)
    # ax4.imshow(data)