Exemple #1
0
def get_eventbmap(pos) -> BMap:
    #[(lo,la),(lo,la)]这种格式即可
    BAIDU_AK = "HOTBRAfU1jGcQKHBX15ucKsfZO722eyN"
    center = (117.20, 39.12)
    c = BMap()
    c.add_schema(
        baidu_ak=BAIDU_AK,
        center=[117.20, 39.12],
        zoom=10,
        is_roam=False,
    )
    sequence = []
    for i in range(len(pos)):
        c.add_coordinate(str(i), pos[i][0], pos[i][1])  #[(posindex,lo,la)]
        sequence.append((str(i), 0.1))  #这里名字和pos要对应
    c.add(
        "投诉坐标",  #系列名称
        sequence,
        type_="scatter",  #"heatmap" 可以切换显示的类型热力图或散点图
        label_opts=opts.LabelOpts(formatter="{b}"),
        symbol_size=5)
    c.set_series_opts(effect_opts=opts.EffectOpts(is_show=True),
                      label_opts=opts.LabelOpts(is_show=False))
    c.add_control_panel(
        scale_control_opts=opts.BMapScaleControlOpts(),
        navigation_control_opts=opts.BMapNavigationControlOpts(),
        maptype_control_opts=opts.BMapTypeControlOpts())
    #c.set_global_opts(visualmap_opts=opts.VisualMapOpts())
    return c
Exemple #2
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def test_bmap():
    b = BMap()
    b.add_schema(baidu_ak='iMplFNfYyAf4e7EleegtObtcOZdliriG',center=[116.395645,39.929986],zoom=9)
    
    # 定义坐标对应的名称,添加到坐标库中 add_coordinate(name, lng, lat)
    engine = create_engine('mysql+pymysql://root:123456@localhost:3306/house')

    # 查询语句,选出employee表中的所有数据
    sql = '''select * from 4sstore_beijing;'''
    # read_sql_query的两个参数: sql语句, 数据库连接
    df = pd.read_sql_query(sql, engine)
    data_pair=[]
    for index,row in df.iterrows():
        b.add_coordinate(row['name'], float(row['lng']),float(row['lat']))
        data_pair.append((row['name'], None))
       
    # Geo 图类型,有 scatter, effectScatter, heatmap, lines 4 种,建议使用
    # from pyecharts.globals import GeoType
    # GeoType.GeoType.EFFECT_SCATTER,GeoType.HEATMAP,GeoType.LINES
    
     # 将数据添加到地图上
    b.add('bmap', data_pair, "scatter" ,symbol_size=5)
    # 设置样式
    b.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
    b.set_global_opts(
            visualmap_opts=opts.VisualMapOpts(is_piecewise=False),
            title_opts=opts.TitleOpts(title="北京4s店分布")
            )
    return b
Exemple #3
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def get_bmap(pos) -> BMap:
    BAIDU_AK = "HOTBRAfU1jGcQKHBX15ucKsfZO722eyN"
    #center = (117.20, 39.12)
    c = BMap()
    c.add_schema(baidu_ak=BAIDU_AK,
                 center=[117.20, 39.12],
                 zoom=10,
                 is_roam=False)
    sequence = []
    for i in range(len(pos)):
        #print(pos[i])
        c.add_coordinate(pos[i][0], pos[i][2], pos[i][1])
        sequence.append((str(i), 5))
    c.add(
        "投诉坐标",  #系列名称
        sequence,
        type_="scatter",  #"heatmap" 可以切换显示的类型热力图或散点图
        label_opts=opts.LabelOpts(formatter="{b}"),
        symbol_size=4  #scatter大小
    )
    #.add("bmap",
    #[{"coord":[117.21, 39.13],"sim":10},{"coord":[117.20, 39.13],"sim":20},{"coord":[117.21, 39.12],"sim":5}],
    #[list(z) for z in zip(Faker.provinces, Faker.values())],#zip将迭代对像打包成元组最后的结果是[['浙江',v1],['广东',v2]]
    #[[117.21, 39.13],[117.20, 39.12],[117.22, 39.10],[117.25, 39.11],[117.19, 39.02],[117.20, 39.12]],
    #type_="heatmap",
    #label_opts=opts.LabelOpts(formatter="{b}"))
    c.set_series_opts(
        effect_opts=opts.EffectOpts(is_show=True),
        label_opts=opts.LabelOpts(is_show=False),
    )
    c.add_control_panel(
        scale_control_opts=opts.BMapScaleControlOpts(),
        navigation_control_opts=opts.BMapNavigationControlOpts(),
        maptype_control_opts=opts.BMapTypeControlOpts())
    #copyright_control_opts=opts.BMapCopyrightTypeOpts(copyright_="我的")
    #geo_location_control_opts=opts.BMapGeoLocationControlOpts()
    #overview_map_opts=opts.BMapOverviewMapControlOpts(is_open=True),
    #c.set_global_opts(visualmap_opts=opts.VisualMapOpts(pos_left="right"))
    return c
Exemple #4
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output = 'json'
ak = 'Z2hzbMkqq4hgAS0IPHgRYPoRfjP9QBee'
url = 'http://api.map.baidu.com/place/v2/search?q=华中科技大学食堂&region=武汉&output=' + output + '&ak=' + ak
r = requests.get(url)
r_js = r.json()
for i in range(0, 9):
    names = r_js['results'][i]['name']
    lng_ = r_js['results'][i]['location']['lng']
    lat_ = r_js['results'][i]['location']['lat']
    print(names, lng_, lat_)

c = BMap()
c.width = "1000px"
c.height = "800px"
c.add_schema(baidu_ak='Z2hzbMkqq4hgAS0IPHgRYPoRfjP9QBee',
             center=[114.421214, 30.519139],
             zoom=17)
for i in range(0, 9):
    c.add_coordinate(r_js['results'][i]['name'],
                     r_js['results'][i]['location']['lng'],
                     r_js['results'][i]['location']['lat'])
    c.add("华中科技大学食堂", [(r_js['results'][i]['name'], "#404a59")],
          color="#404a59")
c.set_global_opts(title_opts=opts.TitleOpts(title="BMap-基本示例"),
                  visualmap_opts=opts.VisualMapOpts(is_piecewise=True))
c.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
c.render()
'''driver = webdriver.Chrome()
driver.get("F:///pyecharts/untitled/html/road.html")
driver.get("http://127.0.0.1:8848/untitled/road.html")'''