自学教程：python

import matplotlib.pyplot as plt #plt是引入模块的别名

#生成数据#横坐标数据从2017到2022，第三个参数可控制步长，可写可不写x = range(2017, 2022)#y对应纵坐标的值y1 = [49, 48, 45, 52, 50]y2 = [60, 62, 61, 65, 63]#生成图形plt.title("LMY and her mother's weight")plt.xlabel('year')plt.ylabel('kg')plt.plot(x, y1, color='green', label='LMY')plt.plot(x, y2, color='purple', label='mother')plt.grid(alpha=0.5)plt.legend(loc='upper right')#显示图形plt.show()

from matplotlib import pyplot as pltimport numpy as np# 生成数据# 横坐标数据从2017到2022，第三个参数可控制步长，可写可不写x = range(2017, 2022)# y对应纵坐标的值y1 = [49, 48, 45, 52, 50]y2 = [60, 62, 61, 65, 63]# 生成图形plt.title("LMY and her mother's weight")plt.xlabel('year')plt.ylabel('kg')# 点的大小area = np.pi*4**2plt.scatter(x, y1, s=area, c='yellow', alpha=1)plt.scatter(x, y2, s=area, c='blue', alpha=1)plt.legend()plt.yticks(())plt.show()

from matplotlib import pyplot as pltimport numpy as np# 生成数据# 横坐标数据从2017到2022，第三个参数可控制步长，可写可不写x = [2017, 2018, 2019, 2020, 2021]# y对应纵坐标的值y1 = [49, 48, 45, 52, 50]y2 = [60, 62, 61, 65, 63]# 生成图形plt.title("LMY and her mother's weight")plt.ylabel('frequency')plt.xlabel('kg')# 点的大小plt.hist(y1, bottom=None, color='purple')plt.hist(y2, bottom=None, color='pink')plt.show()# n, bins, patches = plt.hist(arr, bins=50, normed=1, facecolor='green', alpha=0.75)'''arr:需要计算直方图的一维数组bins:直方图的柱数，可选项，默认为10normed:是否将得到的直方图向量归一化，默认为0facecolor:直方图颜色alpha:透明度'''

from matplotlib import pyplot as pltimport numpy as nparr = np.arange(2017, 2022)x = [49, 48, 45, 52, 50]  # x轴y = [2017, 2018, 2019, 2020, 2021]rect = plt.bar(arr, x, width=0.5)plt.title('LMY')plt.xlabel('weight')plt.ylabel('year')plt.legend()plt.show()

from matplotlib import pyplot as pltimport numpy as nparr = np.arange(2017, 2022)x1 = [49, 48, 45, 52, 50]  # x轴x2 = [60, 62, 61, 65, 63]y = [2017, 2018, 2019, 2020, 2021]rects1 = plt.bar(arr, x1, 0.5, color='purple', label='LMY')rects2 = plt.bar(arr, x2, 0.5, color='yellow', label='Mother', alpha=0.3)plt.title("LMY and her mother's weight")plt.xlabel('weight')plt.ylabel('year')plt.legend()plt.show()

from matplotlib import patches, pyplot as pltimport numpy as nplabel_list = ['49', '48', '45', '52', '50']size = [20, 20, 20, 20, 20]# 各部分的颜色color = ['red', 'pink', 'blue', 'green', 'purple']explode = [0, 0, 0.15, 0, 0]patches, l_text, p_text = plt.pie(size, explode=explode, colors=color, labels=label_list,                                  labeldistance=1.2, autopct="%1.2f%%", shadow=False, startangle=90, pctdistance=0.6)plt.axis('equal')plt.title("LMY's weight")plt.legend(loc='upper left')plt.show()