python数据分析matplotlib之折线图

1: matplotlib实现折线图数据展示
2: 简单封装, 没有时间整理, 
3: 字体的创建, 需要按照版本/系统的不同来配置, 大同小.

code:

import random
import matplotlib
from matplotlib import pyplot as plt
from matplotlib import font_manager

class matplotlib_9527():
    def __init__(self):
        self.plt = plt
        self.set_font()
        self.set_canvas_size()
        self.set_grid()
        # plt.plot( 参数
        self.linestyle = "--"  # 线条样式 可以16进制标识
        self.linewidth = 1     # 线条大小
        self.color = 'green'   # 字体颜色 或者颜色
        self.rotation = 45     # 字体角度
        self.loc = 2           # 图例方向

    def __del__(self):
        try:
            self.plt.close()
        except:
            pass

    def set_font(self):
        """设置字体"""
        # font = {'family': 'FZYTK.TTF',
        #         'weight': 'bold',
        #         'size': 'larger'}
        # matplotlib.rc('font', family='FZYTK.TTF', weight='bold', size='larger')  # pass in the font dict as kwargs
        self.my_font = font_manager.FontProperties(fname=r"C:\Windows\Fonts\simsun.ttc", size=18)
        matplotlib.rc('figure', figsize=(14, 7))
        self.plt.rc('font', size=18)
        self.plt.rc('axes', grid=False)
        #设置字体为楷体
        self.plt.rcParams['font.sans-serif'] = ['KaiTi']

    def set_canvas_size(self):
        """设置画布大小"""
        self.plt.figure(figsize=(20, 8), dpi=80)

    def set_grid(self, clarity_value=0.1):
        """设置网格
            clarity_value: 透明度,, 0~1  1 为不透明
        """
        self.plt.grid(clarity_value, linestyle="--")

    def save_draw(self, save_path="123.png"):
        """保存绘制的图"""
        plt.savefig("save_path")

    def auto_data(self):
        """自动生成数据"""
        x = range(0, 120)
        y = [random.randint(20, 35) for i in range(120)]

    def set_xy_tick(self, x_data=None, y_data=None):
        """设置刻度标志"""
        _xtick_labels = ["10点{}分".format(i) for i in range(60)]
        _xtick_labels += ["11点{}分".format(i) for i in range(60)]
        _ytick_labels = ["11点{}分".format(i) for i in range(60)]
        return _xtick_labels, _ytick_labels

    def draw_tick(self, x, y, _xtick_labels, _ytick_labels):
        """画刻度标记"""
        self.plt.xticks(x, _xtick_labels, rotation=45, fontproperties=self.my_font)

    def set_add_legend(self, loc=2):
        """添加图例  loc 为图例位置 int """
        self.plt.legend(loc=loc)

    def _max_min(self):
        """标记最大最小点"""
        pass

    def start_draw(self):
        """开始画图"""
        y_1 = [random.randint(0, 6) for i in range(20)]
        y_2 = [random.randint(0, 6) for i in range(20)]
        # y_3 = [random.randint(0, 6) for i in range(20)]
        x = range(11, 31)

        self.plt.plot(x, y_1, label="大神的数据", color='green', linestyle=":", linewidth=4)
        self.plt.plot(x, y_2, label="屌丝的数据", color='cyan', linestyle="--", linewidth=4)
        # self.plt.plot(x, y_3, label="暖男的数据")

        _xtick_labels = ["{}岁".format(i) for i in x]
        self.plt.xticks(x, _xtick_labels, fontproperties=self.my_font)
        # 添加标签
        self.plt.xlabel("年龄", fontproperties=self.my_font)
        self.plt.ylabel("数量", fontproperties=self.my_font, rotation=45)
        self.plt.title("撩妹大师", fontproperties=self.my_font)
        # 添加图例
        self.set_add_legend(2)
        # 显示图形
        self.plt.show()

if __name__=="__main__":
    plt_obj = matplotlib_9527()
    plt_obj.start_draw()