一： 柱状图的示例：

import numpy as npimport matplotlib.pyplot as plt# 折线统计图# ax = [23,26,28,31,32,33]      #随便创建了一个数据# ay = [3.0,3.5,4.0,3.0,3.5,4.0]# plt.plot(ax,ay,color='r',linewidth=1,label=u'1')#color指定线条颜色，labeL标签内容# plt.legend(loc=2)#标签展示位置，数字代表标签具位置# plt.xlabel(u'X/℃')# plt.ylabel(u'Y/')# plt.title(u'2019/06/07')# # 设置每个坐标轴的取值范围（x轴取值，y轴取值）# plt.axis([0,36,0,8])# plt.show()# 柱状统计图# num_list = [1.5, 0.6, 7.8, 6]# plt.bar(range(len(num_list)), num_list,fc='r')# plt.show()# 堆叠柱状图# name_list = ['Monday','Tuesday','Friday','Sunday']# num_list = [1.5,0.6,7.8,6]# num_list1 = [1,2,3,1]# plt.bar(range(len(num_list)), num_list, label='boy',fc='y')# plt.bar(range(len(num_list)), num_list1, bottom=num_list, label='girl',tick_label = name_list,fc ='r')# plt.legend()# plt.show()# 并列柱状图# name_list = ['Monday','Tuesday','Friday','Sunday']# num_list = [1.5, 0.6, 7.8, 6]# num_list1 = [1, 2, 3, 1]# x = list(range(len(num_list)))# total_width, n = 0.8, 2# width = total_width / n## plt.bar(x, num_list, width=width, label='boy', fc ='y')# for i in range(len(x)):#     x[i] = x[i] + width# plt.bar(x, num_list1, width=width, label='girl', tick_label=name_list, fc='r')# plt.legend()# plt.show()# 条形柱状图name_list = ['Monday','Tuesday','Friday','Sunday']num_list = [1.5,0.6,7.8,6]plt.barh(range(len(num_list)), num_list,tick_label = name_list)plt.show()'''设置背景颜色：    1.  fc:设置统一颜色(例：fc='r'统一红色）    2.  color:设置不用颜色(例：color='rgb'，三种颜色循环使用)    3.  设置标签：        name_list = ['Monday','Tuesday','Friday','Sunday']        plt.bar(range(len(num_list)), num_list,fc='r',tick_label=name_list)'''