python中matplotlib绘图封装类之折线图、条状图、圆饼图

DrawHelper.py封装类源码：

 import matplotlib
 import matplotlib.pyplot as plt
 import numpy as np

 class DrawHelper:
     def __init__(self):
         # 指定默认字体 下面三条代码用来解决绘图中出现的乱码
         matplotlib.rcParams['font.sans-serif'] = ['SimHei']
         matplotlib.rcParams['font.family'] = 'sans-serif'
         # 解决负号'-'显示为方块的问题
         matplotlib.rcParams['axes.unicode_minus'] = False

     # 绘制饼状图清除type值为零，同时设置颜色（相同的类型相同的颜色）
     def clear_zeroData(self, keys, values):
         colors = ['yellow', 'green', 'red', 'blue', 'black', 'purple', 'pink', 'brown', 'grey', 'yellow', 'green', 'red', 'blue', 'black', 'purple', 'pink', 'brown', 'grey', 'yellow', 'green', 'red', 'blue', 'black', 'purple', 'pink', 'brown', 'grey']
         keys_list = []
         values_list = []
         colors_list = []
         for i in range(0, len(keys)):
             if values[i] != 0:
                 keys_list.append(keys[i])
                 values_list.append(values[i])
                 colors_list.append(colors[i])
         return (keys_list,values_list,colors_list)

     # 绘制折线图
     def get_plot(self, key_list, value_list, actor):
         index = np.arange(len(key_list))
         # 设置画板大小
         plt.figure(figsize=(9,9))
         # 设置条状图标题
         plt.title(actor+'电影类型分布折线图')
         plt.xticks(index, key_list)
         plt.grid(True)
         plt.plot(index,value_list)
         # 保存成图片
         plt.savefig('images/plot/' + actor + '.png')
         plt.close()

     # 绘制条状图
     def get_bar(self, key_list, value_list, actor):
         index = np.arange(len(key_list))
         # 设置画板大小
         plt.figure(figsize=(9,9))
         # 设置条状图标题
         plt.title(actor + '电影类型分布直方图')
         plt.bar(index, value_list, 0.5)
         plt.xticks(index, key_list)
         plt.grid(True)
         plt.savefig('images/bar/' + actor + '.png')
         # 关闭图
         plt.close()

     # 绘制饼状图
     def get_pie(self, key_list, value_list, actor):
         # 调用绘制饼状图清除type值为零，同时设置颜色函数
         types_no_zero = self.clear_zeroData(key_list,value_list)
         keys = types_no_zero[0]
         values = types_no_zero[1]
         colors = types_no_zero[2]
         # 设置标题
         plt.title(actor + '电影类型分布饼状图')
         plt.pie(values, labels=keys, colors=colors,shadow=True, autopct='%1.1f%%')
         plt.axis('equal')
         plt.savefig('images/pie/' + actor + '.png')
         # 关闭图
         plt.close()

test.py测试：

 from DrawHelper import DrawHelper

 types = (['剧情', '喜剧', '爱情', '动作', '犯罪', '武侠', '悬疑', '古装', '科幻', '惊悚', '奇幻', '恐怖', '鬼怪', '冒险', '家庭', '运动', '西部', '传记', '歌舞', '历史', '同性'], [11, 2, 3, 8, 10, 0, 2, 0, 0, 2, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0])
 keys = types[0]
 values = types[1]
 actor = '刘德华'
 DrawHelper().get_bar(keys,values,actor)
 DrawHelper().get_pie(keys,values,actor)
 DrawHelper().get_plot(keys,values,actor)
 print("OK")

截图：