Python数据分析之Matplotlib绘制柱状图

一： 柱状图的示例：

import numpy as np
import 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)
'''