全国各大景点，Python实用数据分析哪些地方值得一去！

for i in s: 
    inf = {} 
    try: 
        inf['level'] = i.find('span', class_='level').text[0] 
    except Exception as e: 
        inf['level'] = '0' 
    try: 
        inf['price'] = i.find('span', class_='sight_item_price').find('em').text 
    except Exception as e: 
        inf['price'] = '' 
    try: 
        inf['name'] = i.find('a', class_='name').text 
    except Exception as e: 
        inf['name'] = '' 
    try: 
        inf['num'] = i.find('span', class_='hot_num').text 
    except Exception as e: 
        inf['num'] = '' 
    try: 
        inf['add_pro'] = i.find('span', class_='area').find('a').text.split('·')[0] 
        inf['add_city'] = i.find('span', class_='area').find('a').text.split('·')[1] 
    except  Exception as e: 
        inf['add_pro'] = i.find('span', class_='area').find('a').text 
        inf['add_city'] = i.find('span', class_='area').find('a').text 
    try: 
        inf['hot'] = i.find('span', class_='product_star_level').find('em').get('title').split(':')[1] 
    except  Exception as e: 
        inf['hot'] = '' 
    try: 
        inf['descri'] = i.find('div', class_='intro color999').text 
    except Exception as e: 
        inf['descri'] = '' 

def huati(name,num,k): 
    kk=[] 
    for i in range(len(name)): 
        if not numpy.isnan(num[i]): 
            q = [] 
            q.append(name[i]) 
            q.append(num[i]) 
            kk.append(q) 
    hh=sorted(kk,key=lambda i:i[1],reverse=True) 
    page=Page() 
    att,val=[],[] 
    for i in hh[:20]: 
        att.append(i[0]) 
        val.append(i[1]) 
    bar1 = Bar("", k+"A景区销量排行", title_pos="center", width=1200, height=600) 
    bar1.add("",att,val, is_visualmap=True, visual_text_color='#fff', mark_point=["average"], 
            mark_line=["average"], 
            is_more_utils=True, is_label_show=True, is_datazoom_show=True, xaxis_rotate=45) 
    page.add_chart(bar1) 
    att, val = [], [] 
    for i in hh[-20:]: 
        att.append(i[0]) 
        val.append(i[1]) 
    bar2 = Bar("", k+"A景区销量排行", title_pos="center", width=1200, height=600) 
    bar2.add("", att, val, is_visualmap=True, visual_text_color='#fff', mark_point=["average"], 
             mark_line=["average"], 
             is_more_utils=True, is_label_show=True, is_datazoom_show=True, xaxis_rotate=45) 
    page.add_chart(bar2) 
    page.render(k+"A景区销量bar.html") 
def sum_pro(pro,k):#每个省有多少个景点 
    p=[] 
    c=[] 
    for i in set(pro): 
        ''' 
        q={} 
        q[i]=pro.count(i) 
        p.append(q)''' 
        p.append(i) 
        c.append(pro.count(i)) 
    map= Map('各省'+k+'A景点分布', width=1200, height=600) 
    map.add("", p,c, is_visualmap=True, visual_range=[min(c), max(c)], 
              visual_text_color='#000', is_map_symbol_show=True, is_label_show=True) 
    map.render( '各省'+k+'A景点分布.html') 

def hottt(fivhot,fouhot,thrhot): 
    fiv, fou, th = [], [], [] 
    atts = ['0', '0.7', '0.8', '0.9', '1'] 
    for i in zip(fivhot,fouhot,thrhot): 
        fiv.append(round(i[0], 1)) 
        fou.append(round(i[1], 1)) 
        th.append(round(i[2], 1)) 
    levels = ['5A', '4A', '3A'] 
    data = {} 
    data['att'] = atts 
    data['5A'], data['4A'], data['3A'] = [], [], [] 
    for i in range(len(atts)): 
        data['5A'].append(round(fiv.count(float(atts[i])) / len(fiv) * 100, 3)) 
        data['4A'].append(round(fou.count(float(atts[i])) / len(fou) * 100, 3)) 
        data['3A'].append(round(th.count(float(atts[i])) / len(th) * 100, 3)) 
    print(data) 
    output_file("bars.html")  # 输出文件名 
    x = [(att, level) for att in atts for level in levels] 
    counts = sum(zip(data['5A'], data['4A'], data['3A']), ()) 
    source = ColumnDataSource(data=dict(x=x, counts=counts)) 
    p = figure(x_range=FactorRange(*x), plot_height=250, title="各等级景区人气值占比", 
               toolbar_location=None, tools="") 
    p.vbar(x='x', top='counts', width=0.9, source=source) 
    show(p) 

def box(q,w,e,l): 
    a = go.Box(y=q, name='5A景区') 
    b = go.Box(y=w, name='4A景区') 
    c = go.Box(y=e, name='3A景区') 
    g = go.Box(y=l, name='所有景区') 
    data = [a, b, c,g] 
    layout = go.Layout(legend=dict(font=dict(size=16)), orientation=270) 
    fig = go.Figure(data=data, layout=layout) 
    plotly.offline.plot(data) 

def trans(city,name,pro,level): 
    for i in range(len(name)): 
        x = pandas.DataFrame() 
        t={} 
        add = name[i] 
        chengshi=city[i] 
        parameters = { 'address': add, 'key': '','city':chengshi } 
        html = requests.get('https://restapi.amap.com/v3/geocode/geo', 
params=parameters).json() 
        try: 
            t['jingwei'] = html['geocodes'][0]['location'] 
        except IndexError: 
            t['jingwei']='0,0' 
        finally: 
            t['n'] = name[i] 
            t['level']=level[i] 
            t['pro']=pro[i] 
            t['city']=city[i] 
            x = x.append(t, ignore_index=True) 
            x.to_csv('55543.csv', encoding='utf-8', index=False, mode='a', header=False)