pyecharts 简单使用

def plotlib_data(self):  # 画图   Type   Proportion(%)
    self.cursor.execute('select video_name from game_fps GROUP BY video_name')
    video_name = [i[0] for i in self.cursor.fetchall()]
    self.cursor.execute('select number from game_fps GROUP BY number')
    x = [i[0] / 50 for i in self.cursor.fetchall()]
    self.cursor.execute('select fps from game_fps where video_name="{}"'.format(video_name[0]))
    y1 = [i[0] for i in self.cursor.fetchall()]
    self.cursor.execute('select fps from game_fps where video_name="{}"'.format(video_name[1]))
    y2 = [i[0] for i in self.cursor.fetchall()]
    line_fps = (
        Line()
            .add_xaxis(xaxis_data=x)
            .add_yaxis(series_name=video_name[0], y_axis=y1, is_smooth=True)
            .add_yaxis(series_name=video_name[1], y_axis=y2, is_smooth=True)
            .set_global_opts(title_opts=opts.TitleOpts(title="fps-ping"), xaxis_opts=opts.AxisOpts(name='fps', name_location='center', name_gap=35, name_textstyle_opts=opts.TextStyleOpts(font_size=25)))
            .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
    )

    self.cursor.execute('select ping from game_fps where video_name="{}"'.format(video_name[0]))
    y1 = [i[0] for i in self.cursor.fetchall()]
    self.cursor.execute('select ping from game_fps where video_name="{}"'.format(video_name[1]))
    y2 = [i[0] for i in self.cursor.fetchall()]
    line_ping = (
        Line()
            .add_xaxis(xaxis_data=x)
            .add_yaxis(series_name=video_name[0], y_axis=y1, is_smooth=True)
            .add_yaxis(series_name=video_name[1], y_axis=y2, is_smooth=True)
            .set_global_opts(title_opts=opts.TitleOpts(title=""), xaxis_opts=opts.AxisOpts(name='ping', name_location='center', name_gap=35, name_textstyle_opts=opts.TextStyleOpts(font_size=25)))
            .set_series_opts(label_opts=opts.LabelOpts(is_show=False))  # 不现实具体数字
    )

    grid = (
        Page(layout=Page.SimplePageLayout)
            .add(line_fps)
            .add(line_ping)
            .render("data.html")
    )