sort_info = df.sort_values(by='销量', ascending=True)
b1 = (
    Bar()
    .add_xaxis(list(sort_info['名称'])[-20:])
    .add_yaxis('热门景点销量', sort_info['销量'].values.tolist()[-20:],itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_js)))
    .reversal_axis()
    .set_global_opts(
        title_opts=opts.TitleOpts(title='热门景点销量数据'),
        yaxis_opts=opts.AxisOpts(name='景点名称'),
        xaxis_opts=opts.AxisOpts(name='销量'),
        )
    .set_series_opts(label_opts=opts.LabelOpts(position="right"))

)
# 将图形整体右移
g1 = (
    Grid()
        .add(b1, grid_opts=opts.GridOpts(pos_left='20%', pos_right='5%')) 
)

df_tmp1 = df[['城市','销量']]
df_counts = df_tmp1.groupby('城市').sum()
m1 = (
        Map()
        .add('假期出行分布', [list(z) for z in zip(df_counts.index.values.tolist(), df_counts.values.tolist())], 'china')
        .set_global_opts(
            title_opts=opts.TitleOpts(title='假期出行数据地图分布'),
            visualmap_opts=opts.VisualMapOpts(max_=100000, is_piecewise=False,range_color=colors), 
        )
    )

df_tmp2 = df[df['星级'].isin(['4A', '5A'])]
df_counts = df_tmp2.groupby('城市').count()['星级']
b2 = (
        Bar()
            .add_xaxis(df_counts.index.values.tolist())
            .add_yaxis('4A-5A景区数量', df_counts.values.tolist(),itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_js)))
            .set_global_opts(
            title_opts=opts.TitleOpts(title='各省市4A-5A景区数量'),
            datazoom_opts=[opts.DataZoomOpts(), opts.DataZoomOpts(type_='inside')],
        )
    )

df0 = df_counts.copy()
df0.sort_values(ascending=False, inplace=True)
c1 = (
    Pie()
    .add('', [list(z) for z in zip(df0.index.values.tolist(), df0.values.tolist())],
         radius=['30%', '100%'],
         center=['50%', '60%'],
         rosetype='area',
         )
    .set_global_opts(title_opts=opts.TitleOpts(title='地区景点数量'),
                     legend_opts=opts.LegendOpts(is_show=False),
                     toolbox_opts=opts.ToolboxOpts())
    .set_series_opts(label_opts=opts.LabelOpts(is_show=True, position='inside', font_size=12,
                                               formatter='{b}: {c}', font_style='italic',
                                               font_weight='bold', font_family='Microsoft YaHei'
                                               ))
)

item_style = {'normal': {'shadowColor': '#000000', 
                         'shadowBlur': 20,
                         'shadowOffsetX':5, 
                         'shadowOffsetY':15
                         }
              }
s1 = (
        Scatter()
        .add_xaxis(df_counts.index.values.tolist())
        .add_yaxis('4A-5A景区数量', df_counts.values.tolist(),symbol_size=50,itemstyle_opts=item_style)
        .set_global_opts(visualmap_opts=opts.VisualMapOpts(is_show=False, 
                                              type_='size',
                                              range_size=[5,50]))
)

df_tmp3 = df[df['星级'].isin(['4A', '5A'])]
df_counts = df_tmp3.groupby('城市').count()['星级']
m2 = (
    Map()
    .add('4A-5A景区分布', [list(z) for z in zip(df_counts.index.values.tolist(), df_counts.values.tolist())], 'china')
    .set_global_opts(
    title_opts=opts.TitleOpts(title='地图数据分布'),
    visualmap_opts=opts.VisualMapOpts(max_=50, is_piecewise=True),
    )
)

price_level = [0, 50, 100, 150, 200, 250, 300, 350, 400, 500] 
label_level = ['0-50', '50-100', '100-150', '150-200', '200-250', '250-300', '300-350', '350-400', '400-500'] 
jzmj_cut = pd.cut(df['价格'], price_level, labels=label_level) 
df_price = jzmj_cut.value_counts()
p1 = (
    Pie(init_opts=opts.InitOpts(
            width='800px', height='600px',
            )
       )
        .add(
        '',
        [list(z) for z in zip(df_price.index.tolist(), df_price.values.tolist())],
        radius=['20%', '60%'],
        center=['40%', '50%'],
        rosetype='radius',
        label_opts=opts.LabelOpts(is_show=True),
        ) 
        .set_global_opts(title_opts=opts.TitleOpts(title='门票价格占比',pos_left='33%',pos_top="5%"),
                        legend_opts=opts.LegendOpts(type_='scroll', pos_left="80%",pos_top="25%",orient="vertical")
                        )
        .set_series_opts(label_opts=opts.LabelOpts(formatter='{b}: {c} ({d}%)'),position='outside')
    )

s2 = (
        Scatter()
        .add_xaxis(df_price.index.tolist())
        .add_yaxis('门票价格区间', df_price.values.tolist(),symbol_size=50,itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_js))) 
        .set_global_opts(
            yaxis_opts=opts.AxisOpts(name='数量'),
            xaxis_opts=opts.AxisOpts(name='价格区间(元)'))
        .set_global_opts(visualmap_opts=opts.VisualMapOpts(is_show=False, 
                                              # 设置通过图形大小来表现数据
                                              type_='size',
                                              # 图形大小映射范围
                                              range_size=[5,50]))
)

w2 = (
    WordCloud()
    .add(
        "", 
        ac.most_common(200), 
        word_size_range=[5, 80], 
        textstyle_opts=opts.TextStyleOpts(font_family="cursive"),
        mask_image='1.jpg'
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(title="自定义样式词云图"),
    )
)