def get_pie(regions, region_count, category, count, mean, size, colors):    

    num= len(size) 
    width = 2 * np.pi / num 
    rad = np.cumsum([width] * num) 
    plt.figure(figsize=(8, 8),dpi=500) 
    
    ax = plt.subplot(projection='polar')
    ax.set_ylim(-1, np.ceil(max(size) + 1)) 
    ax.set_theta_zero_location('N',-5.0) 
    ax.set_theta_direction(1) 
    ax.grid(False) 
    ax.spines['polar'].set_visible(False) 
    ax.set_yticks([]) 
    ax.set_thetagrids([]) 
    
    ax.bar(rad, size, width=width, color=colors, alpha=1)
    ax.bar(rad, 1, width=width, color='white', alpha=0.15) 
    ax.bar(rad, 3, width=width, color='white', alpha=0.1) 
    ax.bar(rad, 5, width=width, color='white', alpha=0.05) 
    ax.bar(rad, 7, width=width, color='white', alpha=0.03) 

    # 设置text
    for i in np.arange(num):
        if i < 8:
            ax.text(rad[i], size[i]-0.2, f'{category[i]}\n{count[i]}家\n({mean[i]})', rotation=rad[i] * 180 / np.pi -5,
                    rotation_mode='anchor', fontstyle='normal', fontweight='black', color='white', size=size[i]/2.2, 
                    ha="center", va="top" )
        elif i < 15:
            ax.text(rad[i]+0.02, size[i]-0.7, f'{category[i]}\n{count[i]}家\n({mean[i]})', fontstyle='normal',
                    fontweight='black', color='white', size=size[i] / 1.6, ha="center" )
        else:
            ax.text(rad[i], size[i]+0.1, f'{category[i]} {count[i]}家 ({mean[i]})', rotation=rad[i] * 180 / np.pi + 85,
                    rotation_mode='anchor', fontstyle='normal', fontweight='black', color='black', size=4,
                    ha="left", va="bottom" ) 

    
    cell_width = 20  
    cell_height = 5
    axins1=inset_axes(ax,width=3.05, height=cell_height-0.6, loc=1)
    regions_len = len(regions)
    ncols = 2
    nrows = regions_len // ncols + int(regions_len % ncols > 0) 
    axins1.set_xlim(0,cell_width*3.5)
    axins1.set_ylim(cell_height* (nrows-0.5),1-cell_height/2.)
    axins1.yaxis.set_visible(False)
    axins1.xaxis.set_visible(False)
    axins1.set_axis_off()
    
    for i in range(regions_len): 
        row = i % nrows
        col = i // nrows
        y = row*2
        text_pos_x = cell_width * col + 10
        axins1.text(text_pos_x-5, y, str(region_count[i]), fontsize=4,color='#FAFAFA',fontweight='bold',
                    horizontalalignment='left',verticalalignment='center',backgroundcolor="#EC407A"
                   )
        axins1.text(text_pos_x, y, regions[i], fontsize=4,color='#3F51B5',fontweight='bold',
                    horizontalalignment='left',verticalalignment='center'
                   )
    plt.show()

bar = (
    Bar(init_opts=opts.InitOpts(theme='dark', width='1000px', height='1000px',bg_color='#0d0735'))
    .add_xaxis(df_category_mean_tmp['类别'].tolist())
    .add_yaxis("", df_category_mean_tmp['人均消费'].tolist())
    .set_series_opts(label_opts=opts.LabelOpts(position="right",
                                              font_size=12,
                                              font_weight='bold',
                                              formatter='{c} 元'),
                    )
    .set_global_opts(
                    xaxis_opts=opts.AxisOpts(is_show=False,),
                    yaxis_opts=opts.AxisOpts(
                        axislabel_opts=opts.LabelOpts(font_size=13,color='#fff200'),
                        axistick_opts=opts.AxisTickOpts(is_show=False),
                        axisline_opts=opts.AxisLineOpts(is_show=False)
                    ),
                    title_opts=opts.TitleOpts(title="各餐饮类型人均消费",pos_left='center',pos_top='1%',
                              title_textstyle_opts=opts.TextStyleOpts(font_size=22,color="#38d9a9")),
                    visualmap_opts=opts.VisualMapOpts(is_show=False, 
                                      min_=5,
                                      max_=140,
                                      is_piecewise=False,
                                      dimension=0,),
                    )
    .reversal_axis())

m0 = (
        Map(init_opts=opts.InitOpts(width='1000px', height='800px',bg_color='#0d0735')) 
        .add('', 
             [list(z) for z in zip(regions, region_count)], 
             '上海',
             is_map_symbol_show=False,
            )
        .set_global_opts(
            title_opts=opts.TitleOpts(
                  title="上海各区餐饮店数量分布", pos_left="center", pos_top='1%',
                  subtitle='<制图@公众号：Python当打之年>', item_gap=5, 
                  title_textstyle_opts=opts.TextStyleOpts(
                      font_size=24, font_weight="bold", 
                      color="#DC143C", 
                  ),
                  subtitle_textstyle_opts=opts.TextStyleOpts(color="#94d82d", font_size=14, font_weight="bold")
            ),
            visualmap_opts=opts.VisualMapOpts(
                max_= 13000,
                is_piecewise=True,
                is_show=True,
                split_number = 10,
                pos_top='40%',
                pos_left='10%',
            ),
        )
    )

bar = (
    Bar(init_opts=opts.InitOpts(theme='dark', width='1000px', height='300px',bg_color='#0d0735' ))
    .add_xaxis(regions)
    .add_yaxis("", region_count)
    .set_series_opts(label_opts=opts.LabelOpts(position="insideBottom",
                                              font_size=10,
                                              rotate='90',
                                              vertical_align='middle',
                                              horizontal_align='left',
                                              font_weight='bold',
                                              color='#e7298a',
                                              formatter='{b}: {c} 家'),
                    markline_opts=opts.MarkLineOpts(
                        data=[opts.MarkLineItem(name="平均：",
                                                type_ = 'average',)],
                        label_opts=opts.LabelOpts(is_show=False))
    )
    .set_global_opts(
        xaxis_opts=opts.AxisOpts(is_show=False, boundary_gap=False),
        yaxis_opts=opts.AxisOpts(is_show=False),
        visualmap_opts=opts.VisualMapOpts(
            is_piecewise=True,
            split_number = 10,
            is_show=False,
            max_=13000,),
        title_opts=opts.TitleOpts(
            title=f"各区平均店铺：{df_region['数量'].mean().round(2)}家",
            pos_right="10%",
            pos_top='45%',
            title_textstyle_opts=opts.TextStyleOpts(font_size=13)
        ),
        tooltip_opts=opts.TooltipOpts(
            is_show=True),
    ) )