def bdapi():
friends = bot.friends(update=True)
dd1 = defaultdict(int) # 如果调用字典的key不存在的时候，默认value为0
for hy in friends:
# print(hy.city)
if '\u9fa5' >= hy.city >= '\u4e00': # 如果省份是汉字就保留，否则就舍弃，因为在中国地图上也不会显示
city = hy.city + "市" # 必须要加，不加会名字识别不到
dd1[city] += 1 # 每次进来如果key相同则进行累加
sj = [list(a) for a in zip(dd1.keys(), dd1.values())]
# 地图部分
BD_AK = "xC9wlIKWG31GZwZ87jFBGO6RycDZf7Ue"
MR_ZX = [108.9550557300, 34.3247934100] # 定义地图的默认中心位置
m3 = BMap()
# 进去的地图中心点 可以在网址查询 http://www.gpsspg.com/maps.htm 但是这里有一点需要注意，地图给出来的维度和经度，这里的顺序是经纬度，需要调整下
m3.add_schema(
baidu_ak=BD_AK,
center=MR_ZX,
zoom=8 # 缩放程度
)
m3.add(
series_name="",
data_pair=sj,
label_opts=opts.LabelOpts("{b}"),
)
m3.set_global_opts(
title_opts=opts.TitleOpts("百度API展示微信好友分布"),
visualmap_opts=opts.VisualMapOpts(
is_piecewise=True, max_=180,
pos_bottom=40), # 最后一个是设置提示距离底端的距离，防止百度的log将数据挡住
)
m3.render("./kshwy/map_bdapi.html")
webbrowser.open("E:\study\kshwy\map_bdapi.html", autoraise=True)
def test_bmap_map_control_panel(fake_writer):
bmap = (BMap().add_schema(
baidu_ak=FAKE_API_KEY, center=[
-0.118092, 51.509865
]).add_coordinate("London", -0.118092, 51.509865).add(
"bmap",
[list(z) for z in zip(TEST_LOCATION, TEST_VALUE)],
type_=ChartType.LINES,
label_opts=opts.LabelOpts(formatter="{b}"),
).add_control_panel(
copyright_control_opts=opts.BMapCopyrightTypeOpts(position=3),
maptype_control_opts=opts.BMapTypeControlOpts(
type_=BMapType.MAPTYPE_CONTROL_DROPDOWN),
scale_control_opts=opts.BMapScaleControlOpts(),
overview_map_opts=opts.BMapOverviewMapControlOpts(is_open=True),
navigation_control_opts=opts.BMapNavigationControlOpts(),
geo_location_control_opts=opts.BMapGeoLocationControlOpts(),
))
bmap.render()
content = fake_writer.call_args[0][1]
assert_in("new BMap.CopyrightControl", content)
assert_in("new BMap.MapTypeControl", content)
assert_in("new BMap.ScaleControl", content)
assert_in("new BMap.OverviewMapControl", content)
assert_in("new BMap.NavigationControl", content)
assert_in("new BMap.GeolocationControl", content)
def map_base(self) -> BMap:
start = datetime.datetime.now()
location = []
c = (
BMap()
.add_schema(baidu_ak=BAIDU_MAP_AK, center=[114.34632, 22.69084], zoom=13)
.add(
"bmap",
location,
type_='line',
label_opts=opts.LabelOpts(formatter="{b}"),
)
.set_global_opts(
visualmap_opts=opts.VisualMapOpts(),
)
)
for community in self.community_list:
if community.number:
c.add_coordinate(community.name, community.long, community.lat)
c.add(
"heat",
[(community.name, community.number)],
label_opts=opts.LabelOpts(formatter="{d}"),
color="red",
)
end = datetime.datetime.now()
print("Map: " + str(end - start))
return c.dump_options_with_quotes()
def bmap_route_map() -> BMap:
c = (
BMap().add_schema(baidu_ak=Baidu_AK,
center=[110.3014600000, 20.0132350000],
zoom=13) #缩放比例12-14之间可行
.set_global_opts(
title_opts=opts.TitleOpts(
title="09/20 17:30-17:31"), # 更改title====================
visualmap_opts=opts.VisualMapOpts(is_show=False),
))
# 增加路径线
c.add(
"行车路径模拟",
type_="lines",
is_polyline=True,
data_pair=taix_lines,
linestyle_opts=opts.LineStyleOpts(opacity=0.2, width=0.5),
# 如果不是最新版本的话可以注释下面的参数（效果差距不大）
# progressive=200,
# progressive_threshold=500
)
c.add_control_panel(
navigation_control_opts=opts.BMapNavigationControlOpts(
offset_height=30),
scale_control_opts=opts.BMapScaleControlOpts(),
)
return c
def scattermap(data):
jscode = """
function (val) {
return val[2]/15;
}
"""
bmap = (BMap().add_schema(baidu_ak=BAIDU_AK,
center=[104.114129, 37.550339],
zoom=5,
is_roam=False,
map_style={
'styleJson': MAPTYPE
}).add('城市分布',
[
list(x) for x in zip(
data['content']['name'],
data['content']['item'],
)
],
type_='scatter',
symbol_size=JsCode(jscode)
)
.add('top5',
[list(x) for x in zip(data['content']['name'][:5],data['content']['item'][:5])],
type_='effectScatter',
symbol_size=JsCode(jscode)
).set_global_opts(title_opts=opts.TitleOpts(title='城市分布')).dump_options_with_quotes()
)
return bmap
def test_bmap_ignore_nonexistent_coord_exception():
(BMap(is_ignore_nonexistent_coord=True).add_schema(
baidu_ak=FAKE_API_KEY, center=[-0.118092, 51.509865]).add(
"bmap",
[["NonexistentLocation", 123]],
label_opts=opts.LabelOpts(formatter="{b}"),
))
def bmap_heatmap(index_lngLat,
index_value,
title='',
width="1000px",
height="600px") -> BMap:
c = (
BMap(
init_opts=opts.InitOpts(theme="white", width=width, height=height))
# .add_schema(baidu_ak=Baidu_AK, center=[110.3131940000, 20.0274250000], zoom=13, map_style=get_map_style()) #缩放比例12-14之间可行
.add_schema(baidu_ak=Baidu_AK,
center=[110.3131940000, 20.0274250000],
zoom=13).set_global_opts(
title_opts=opts.TitleOpts(title=title),
visualmap_opts=opts.VisualMapOpts(pos_top='5%',
pos_right='5%')))
# 增加坐标点信息
for key, value in index_lngLat.items():
c.add_coordinate(key, value[0], value[1])
# 热力图
c.add(
"出发地热力图",
index_value[0],
type_="heatmap",
label_opts=opts.LabelOpts(formatter="{b}"),
)
# 点图
c.add(
"出发地位置",
index_value[0],
type_="scatter",
symbol_size=3,
# color='rgb(1, 1, 1)',
# itemstyle_opts= opts.ItemStyleOpts(color='rgb(1, 1, 1)'),
label_opts=opts.LabelOpts(is_show=False),
)
# 热力图
c.add(
"到达地热力图",
index_value[1],
type_="heatmap",
label_opts=opts.LabelOpts(formatter="{b}"),
)
# 点图
c.add(
"到达地位置",
index_value[1],
type_="scatter",
symbol_size=3,
label_opts=opts.LabelOpts(is_show=False),
)
c.add_control_panel(
navigation_control_opts=opts.BMapNavigationControlOpts(
offset_height=30),
scale_control_opts=opts.BMapScaleControlOpts(),
)
return c
def bmap_base() -> BMap:
c = (BMap().add_schema(
baidu_ak=BAIDU_MAP_AK, center=[120.13066322374, 30.240018034923]).add(
"bmap",
[list(z) for z in zip(Faker.provinces, Faker.values())],
label_opts=opts.LabelOpts(formatter="{b}"),
).set_global_opts(title_opts=opts.TitleOpts(title="BMap-基本示例")))
return c
def test_bmap_catch_nonexistent_coord_exception():
try:
(BMap().add_schema(baidu_ak=FAKE_API_KEY,
center=[-0.118092, 51.509865]).add(
"bmap",
[["NonexistentLocation", 123]],
label_opts=opts.LabelOpts(formatter="{b}"),
))
except NonexistentCoordinatesException as err:
assert_equal(type(err), NonexistentCoordinatesException)
def bmap_heatmap() -> BMap:
c = (
BMap(init_opts = opts.InitOpts(theme = "white"))
.add_schema(baidu_ak=Baidu_AK, center=[110.3014600000, 20.0132350000], zoom=13) #缩放比例12-14之间可行
.set_global_opts(
title_opts=opts.TitleOpts(title="10/04 中秋节 18:00-22:00"), # 更改title====================
visualmap_opts=opts.VisualMapOpts(pos_top='5%', pos_right='5%'),
)
)
# 增加坐标点信息
for key, value in index_lngLat.items():
c.add_coordinate(key, value[0], value[1])
# 热力图
c.add(
"出发地热力图",
index_value[0],
type_="heatmap",
label_opts=opts.LabelOpts(formatter="{b}"),
)
# 点图
c.add(
"出发地位置",
index_value[0],
type_="scatter",
symbol_size=3,
# color='rgb(1, 1, 1)',
# itemstyle_opts= opts.ItemStyleOpts(color='rgb(1, 1, 1)'),
label_opts=opts.LabelOpts(is_show=False),
)
# 热力图
c.add(
"到达地热力图",
index_value[1],
type_="heatmap",
label_opts=opts.LabelOpts(formatter="{b}"),
)
# 点图
c.add(
"到达地位置",
index_value[1],
type_="scatter",
symbol_size=3,
label_opts=opts.LabelOpts(is_show=False),
)
c.add_control_panel(navigation_control_opts=opts.BMapNavigationControlOpts(offset_height=30),
scale_control_opts=opts.BMapScaleControlOpts(),
)
return c
def test_bmap(fake_writer):
bmap = (BMap().add_schema(
baidu_ak=FAKE_API_KEY,
center=[-0.118092,
51.509865]).add_coordinate("London", -0.118092, 51.509865).add(
"bmap",
[list(z) for z in zip(TEST_LOCATION, TEST_VALUE)],
label_opts=opts.LabelOpts(formatter="{b}"),
))
bmap.render()
content = fake_writer.call_args[0][1]
assert_in(f'src="{BAIDU_MAP_API_PREFIX}&ak={FAKE_API_KEY}"', content)
assert_in('"coordinateSystem": "bmap"', content, "non bmap found")
def test_bmap_heatmap():
bmap = (BMap().add_schema(
baidu_ak=FAKE_API_KEY,
center=[-0.118092,
51.509865]).add_coordinate("London", -0.118092, 51.509865).add(
"bmap",
[list(z) for z in zip(TEST_LOCATION, TEST_VALUE)],
label_opts=opts.LabelOpts(formatter="{b}"),
))
data = bmap.options.get("series")[0]["data"]
for item in data:
assert_in("name", item)
assert_in("value", item)
def test_bmap_effect_trail_length(fake_writer):
bmap = (BMap().add_schema(
baidu_ak=FAKE_API_KEY,
center=[-0.118092,
51.509865]).add_coordinate("London", -0.118092, 51.509865).add(
"bmap",
[list(z) for z in zip(TEST_LOCATION, TEST_VALUE)],
type_=ChartType.LINES,
effect_opts=opts.EffectOpts(trail_length=0.5),
label_opts=opts.LabelOpts(formatter="{b}"),
))
bmap.render("render.html")
content = fake_writer.call_args[0][1]
assert_in('"trailLength": 0.5', content, "trainLength parameter is error")
def test_bmap_progressive_options(fake_writer):
bmap = (BMap().add_schema(
baidu_ak=FAKE_API_KEY, center=[-0.118092, 51.509865]).add_coordinate(
"London", -0.118092, 51.509865).add(
"bmap",
type_="lines",
data_pair=[list(z) for z in zip(TEST_LOCATION, TEST_VALUE)],
label_opts=opts.LabelOpts(formatter="{b}"),
progressive=200,
progressive_threshold=500,
))
bmap.render()
content = fake_writer.call_args[0][1]
assert_in("progressive", content)
assert_in("progressiveThreshold", content)
def test_bmap_polyline_and_large(fake_writer):
bmap = (BMap().add_schema(
baidu_ak=FAKE_API_KEY,
center=[-0.118092,
51.509865]).add_coordinate("London", -0.118092, 51.509865).add(
"bmap",
[list(z) for z in zip(TEST_LOCATION, TEST_VALUE)],
is_polyline=True,
is_large=True,
type_=ChartType.LINES,
label_opts=opts.LabelOpts(formatter="{b}"),
))
bmap.render()
content = fake_writer.call_args[0][1]
assert_in('"polyline": true', content, "polyline parameter is error")
assert_in('"large": true', content, "large parameter is error")
def test_bmap_heatmap():
provinces = ["London"]
values = [1]
bmap = (BMap().add_schema(
baidu_ak=FAKE_API_KEY,
center=[-0.118092,
51.509865]).add_coordinate("London", -0.118092, 51.509865).add(
"bmap",
[list(z) for z in zip(provinces, values)],
label_opts=opts.LabelOpts(formatter="{b}"),
))
bmap.render()
data = bmap.options.get("series")[0]["data"]
for item in data:
assert_in("name", item)
assert_in("value", item)
def bmap_linemap() -> BMap:
c = (
BMap(init_opts=opts.InitOpts(
theme="white", width="1000px", height="600px")).add_schema(
baidu_ak=Baidu_AK,
center=[110.3131940000, 20.0274250000],
zoom=13) #缩放比例12-14之间可行
.set_global_opts(
title_opts=opts.TitleOpts(
title="10/01 国庆节 机场出发"), # 更改title====================
visualmap_opts=opts.VisualMapOpts(),
))
# 增加坐标点
for key, value in index_lngLat.items():
c.add_coordinate(key, value[0], value[1])
# 增加坐标点的值
c.add(
"",
index_value,
type_=ChartType.EFFECT_SCATTER,
symbol_size=4,
label_opts=opts.LabelOpts(is_show=False),
color="white",
)
# 增加连线图
c.add(
"行程起始-终止位置",
route_pair,
type_=ChartType.LINES,
is_large=True,
large_threshold=100,
effect_opts=opts.EffectOpts(symbol=SymbolType.ARROW,
symbol_size=5,
color="blue"),
linestyle_opts=opts.LineStyleOpts(curve=0.1, opacity=0.7),
)
# c.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
c.add_control_panel(
navigation_control_opts=opts.BMapNavigationControlOpts(
offset_height=30),
scale_control_opts=opts.BMapScaleControlOpts(),
)
return c
def bmap_base(BAIDU_AK, geofile=geofile) -> BMap:
with open(geofile, 'r', encoding='utf-8') as f:
j = json.loads(f.read())
location = [[k, 1] for k in j.keys()]
c = (
BMap().add_schema(
baidu_ak=BAIDU_AK,
center=[121.497739, 31.242029],
zoom=11,
map_style={
"styleJson": [
{
"featureType": "manmade",
"elementType": "all",
"stylers": {
"visibility": "off"
},
},
{
"featureType": "highway",
"elementType": "labels",
"stylers": {
"visibility": "off"
},
},
# {
# "featureType": "label",
# "elementType": "all",
# "stylers": {"visibility": "off"},
# },
{
"featureType": "building",
"elementType": "all",
"stylers": {
"visibility": "off"
},
},
]
}).add_coordinate_json(json_file=geofile).add(
'',
location,
# type_='heatmap',
symbol_size=9,
label_opts=LabelOpts(is_show=False)).set_global_opts(
title_opts=TitleOpts()))
return c
def get_baidu_map_line(new_location_line) -> BMap:
baidu_map_key = config.get('baidu_ak')
c = (
BMap().add_schema(baidu_ak=baidu_map_key,
center=[120.13066322374, 30.240018034923]).
add(
"bmap",
new_location_line,
# [list(z) for z in zip(Faker.provinces, Faker.values())],
# label_opts=opts.LabelOpts(formatter="{b}"),
type_=GeoType.LINES,
effect_opts=opts.EffectOpts(symbol=SymbolType.ARROW,
symbol_size=6,
color="purple"),
linestyle_opts=opts.LineStyleOpts(curve=0.2),
).set_global_opts(title_opts=opts.TitleOpts(title="BMap-网络")))
# return c.render_embed()
return c.dump_options_with_quotes()
def bmap_heatmap() -> BMap:
c = (
BMap(init_opts=opts.InitOpts(
theme="white", width="1000px", height="600px")).add_schema(
baidu_ak=Baidu_AK,
center=[110.3131940000, 20.0274250000],
zoom=13) #缩放比例12-14之间可行
.set_global_opts(
title_opts=opts.TitleOpts(
title="POI分布"), # 更改title====================
visualmap_opts=opts.VisualMapOpts(pos_top='5%',
pos_right='5%')))
# 增加坐标点信息
for key, value in index_lngLat.items():
c.add_coordinate(key, value[0], value[1])
# # 不同类数据的点图
# for label, data in index_value.items():
# c.add(
# label,
# data,
# type_="scatter",
# symbol_size=3,
# # color='rgb(1, 1, 1)',
# # itemstyle_opts= opts.ItemStyleOpts(color='rgb(1, 1, 1)'),
# label_opts=opts.LabelOpts(is_show=False),
# )
# 不同类数据的热力图
for label, data in index_value.items():
c.add(
label,
data,
type_="heatmap",
label_opts=opts.LabelOpts(formatter="{b}"),
)
c.add_control_panel(
navigation_control_opts=opts.BMapNavigationControlOpts(
offset_height=30),
scale_control_opts=opts.BMapScaleControlOpts(),
)
return c
def bmap_heatmap() -> BMap:
c = (
BMap()
.add_schema(baidu_ak=Baidu_AK, center=[110.3014600000, 20.0132350000], zoom=13) #缩放比例12-14之间可行
.set_global_opts(
title_opts=opts.TitleOpts(title="BMap-热力图"),
visualmap_opts=opts.VisualMapOpts(),
)
)
# 增加坐标点
c.add_coordinate("海南海口秀英秀英向荣", 110.263727, 20.001732)
c.add_coordinate("海南海口龙华海垦海秀", 110.328492, 20.031007)
# 增加坐标点之间的值
c.add(
"bmap",
[['海南海口秀英秀英向荣', 100], ['海南海口龙华海垦海秀', 50]],
type_="heatmap",
label_opts=opts.LabelOpts(formatter="{b}"),
)
return c
def get_gridbmap(message) -> BMap:
BAIDU_AK = "HOTBRAfU1jGcQKHBX15ucKsfZO722eyN"
pos = (117.20, 39.12)
#jscode = "console.log('hi hi');"#可嵌入jscode
#jscode = "functions(param){bmap.addEventListener('click', function(e){alert(e.point.lng + ','+ e.point.lat);});}"
#每两个点画一条线
j = [[{
"coord": [117.20, 39.12]
}, {
"coord": [118.21, 41.12]
}], [{
"coord": [119.21, 41.12]
}, {
"coord": [115.21, 41.12]
}]]
c = (
BMap().add_schema(
baidu_ak=BAIDU_AK, center=[117.20, 39.12], zoom=12).add(
"",
type_="lines",
data_pair=j,
is_polyline=True,
is_large=False,
linestyle_opts=opts.LineStyleOpts(color="purple",
opacity=0.6,
width=1),
).set_series_opts(effect_opts=opts.EffectOpts(is_show=False),
label_opts=opts.LabelOpts(is_show=False)).
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),
)
#.add_js_funcs(jscode)
#.set_global_opts(title_opts=opts.TitleOpts(title="BMap-基本示例"))
)
return c
def timeline_bmap() -> Timeline:
tl = Timeline()
tl.add_schema(pos_left="50%", pos_right="10px", pos_bottom="15px")
for i in range(2015, 2020):
bmap = (
BMap()
.add_schema(baidu_ak="FAKE_AK", center=[120.13066322374, 30.240018034923])
.add(
"bmap",
[list(z) for z in zip(Faker.provinces, Faker.values())],
type_="heatmap",
)
.set_global_opts(
title_opts=opts.TitleOpts(title="Timeline-BMap-热力图-{}年".format(i)),
visualmap_opts=opts.VisualMapOpts(
pos_bottom="center", pos_right="10px"
),
tooltip_opts=opts.TooltipOpts(formatter=None),
)
)
tl.add(bmap, "{}年".format(i))
return tl
def bmap_custom() -> BMap:
with open(
os.path.join("fixtures", "bmap-custom-data.json"), "r", encoding="utf-8"
) as f:
j = json.load(f)
color_list = ["#070093", "#1c3fbf", "#1482e5", "#70b4eb", "#b4e0f3", "#ffffff"]
c = (
BMap()
.add_schema(
baidu_ak=BAIDU_MAP_AK,
center=[116.46, 39.92],
zoom=11.8,
is_roam=True,
map_style={
"styleJson": [
{
"featureType": "water",
"elementType": "all",
"stylers": {"color": "#d1d1d1"},
},
{
"featureType": "land",
"elementType": "all",
"stylers": {"color": "#f3f3f3"},
},
{
"featureType": "railway",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "highway",
"elementType": "all",
"stylers": {"color": "#999999"},
},
{
"featureType": "highway",
"elementType": "labels",
"stylers": {"visibility": "off"},
},
{
"featureType": "arterial",
"elementType": "geometry",
"stylers": {"color": "#fefefe"},
},
{
"featureType": "arterial",
"elementType": "geometry.fill",
"stylers": {"color": "#fefefe"},
},
{
"featureType": "poi",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "green",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "subway",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "manmade",
"elementType": "all",
"stylers": {"color": "#d1d1d1"},
},
{
"featureType": "local",
"elementType": "all",
"stylers": {"color": "#d1d1d1"},
},
{
"featureType": "arterial",
"elementType": "labels",
"stylers": {"visibility": "off"},
},
{
"featureType": "boundary",
"elementType": "all",
"stylers": {"color": "#fefefe"},
},
{
"featureType": "building",
"elementType": "all",
"stylers": {"color": "#d1d1d1"},
},
{
"featureType": "label",
"elementType": "labels.text.fill",
"stylers": {"color": "rgba(0,0,0,0)"},
},
]
},
)
.add_js_funcs(
"""
var lngExtent = [39.5, 40.6];
var latExtent = [115.9, 116.8];
var cellCount = [50, 50];
var cellSizeCoord = [
(lngExtent[1] - lngExtent[0]) / cellCount[0],
(latExtent[1] - latExtent[0]) / cellCount[1]
];
var gapSize = 0;
function renderItem(params, api) {
var lngIndex = api.value(0);
var latIndex = api.value(1);
var pointLeftTop = getCoord(params, api, lngIndex, latIndex);
var pointRightBottom = getCoord(params, api, lngIndex + 1, latIndex + 1);
return {
type: 'rect',
shape: {
x: pointLeftTop[0],
y: pointLeftTop[1],
width: pointRightBottom[0] - pointLeftTop[0],
height: pointRightBottom[1] - pointLeftTop[1]
},
style: api.style({
stroke: 'rgba(0,0,0,0.1)'
}),
styleEmphasis: api.styleEmphasis()
};
}
function getCoord(params, api, lngIndex, latIndex) {
var coords = params.context.coords || (params.context.coords = []);
var key = lngIndex + '-' + latIndex;
return coords[key] || (coords[key] = api.coord([
+(latExtent[0] + lngIndex * cellSizeCoord[0]).toFixed(6),
+(lngExtent[0] + latIndex * cellSizeCoord[1]).toFixed(6)
]));
}
"""
)
.add(
series_name="",
data_pair=j["data"],
type_=ChartType.CUSTOM,
render_item=JsCode("renderItem"),
itemstyle_opts=opts.ItemStyleOpts(color="yellow"),
encode={"tooltip": 2},
)
.set_global_opts(
title_opts=opts.TitleOpts(title="BMap-Custom 图"),
tooltip_opts=opts.TooltipOpts(is_show=True, formatter=None),
visualmap_opts=opts.VisualMapOpts(
is_piecewise=True,
pos_top="10",
pos_left="10",
is_inverse=True,
pieces=[
{"value": i, "color": color_list[i]} for i in range(len(color_list))
],
dimension=2,
border_color="#ccc",
border_width=2,
background_color="#eee",
range_opacity=0.7,
),
graphic_opts=[
opts.GraphicGroup(
graphic_item=opts.GraphicItem(
rotation=JsCode("Math.PI / 4"),
bounding="raw",
right=110,
bottom=110,
z=100,
),
children=[
opts.GraphicRect(
graphic_item=opts.GraphicItem(
left="center", top="center", z=100
),
graphic_shape_opts=opts.GraphicShapeOpts(
width=400, height=50
),
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="rgba(0,0,0,0.3)"
),
),
opts.GraphicText(
graphic_item=opts.GraphicItem(
left="center", top="center", z=100
),
graphic_textstyle_opts=opts.GraphicTextStyleOpts(
text="Made by pyecharts",
font="bold 26px Microsoft YaHei",
graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
fill="#fff"
),
),
),
],
)
],
)
)
return c
(BMap(init_opts=opts.InitOpts(width="1600px", height="800px")).add_schema(
baidu_ak="Uf1rIjuIVVXxDwEy0iEU0tApwdoqGeGn",
center=[120.13066322374, 30.240018034923],
zoom=14,
is_roam=True,
map_style={
"styleJson": [{
"featureType": "water",
"elementType": "all",
"stylers": {
"color": "#d1d1d1"
}
}, {
"featureType": "land",
"elementType": "all",
"stylers": {
"color": "#f3f3f3"
}
}, {
"featureType": "railway",
"elementType": "all",
"stylers": {
"visibility": "off"
}
}, {
"featureType": "highway",
"elementType": "all",
"stylers": {
"color": "#fdfdfd"
}
}, {
"featureType": "highway",
"elementType": "labels",
"stylers": {
"visibility": "off"
}
}, {
"featureType": "arterial",
"elementType": "geometry",
"stylers": {
"color": "#fefefe"
}
}, {
"featureType": "arterial",
"elementType": "geometry.fill",
"stylers": {
"color": "#fefefe"
}
}, {
"featureType": "poi",
"elementType": "all",
"stylers": {
"visibility": "off"
}
}, {
"featureType": "green",
"elementType": "all",
"stylers": {
"visibility": "off"
}
}, {
"featureType": "subway",
"elementType": "all",
"stylers": {
"visibility": "off"
}
}, {
"featureType": "manmade",
"elementType": "all",
"stylers": {
"color": "#d1d1d1"
}
}, {
"featureType": "local",
"elementType": "all",
"stylers": {
"color": "#d1d1d1"
}
}, {
"featureType": "arterial",
"elementType": "labels",
"stylers": {
"visibility": "off"
}
}, {
"featureType": "boundary",
"elementType": "all",
"stylers": {
"color": "#fefefe"
}
}, {
"featureType": "building",
"elementType": "all",
"stylers": {
"color": "#d1d1d1"
}
}, {
"featureType": "label",
"elementType": "labels.text.fill",
"stylers": {
"color": "#999999"
}
}]
}).add(series_name="",
type_=ChartType.LINES,
data_pair=map_data,
is_polyline=True,
is_large=True,
linestyle_opts=opts.LineStyleOpts(color="purple",
opacity=0.6,
width=1),
effect_opts=opts.EffectOpts(trail_length=0.5)).add_control_panel(
copyright_control_opts=opts.BMapCopyrightType(position=3),
maptype_control_opts=opts.BMapTypeControl(
type_=BMapType.MAPTYPE_CONTROL_DROPDOWN),
scale_control_opts=opts.BMapScaleControlOpts(),
overview_map_opts=opts.BMapOverviewMapControlOpts(is_open=True),
navigation_control_opts=opts.BMapNavigationControlOpts(),
geo_location_control_opts=opts.BMapGeoLocationControlOpts(),
).render("hiking_trail_in_hangzhou.html"))
def bmap_lines() -> BMap:
with open(
os.path.join("fixtures", "hangzhou-tracks.json"), "r", encoding="utf-8"
) as f:
j = json.load(f)
c = (
BMap()
.add_schema(
baidu_ak=BAIDU_MAP_AK,
center=[120.13066322374, 30.240018034923],
zoom=14,
is_roam=True,
map_style={
"styleJson": [
{
"featureType": "water",
"elementType": "all",
"stylers": {"color": "#d1d1d1"},
},
{
"featureType": "land",
"elementType": "all",
"stylers": {"color": "#f3f3f3"},
},
{
"featureType": "railway",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "highway",
"elementType": "all",
"stylers": {"color": "#fdfdfd"},
},
{
"featureType": "highway",
"elementType": "labels",
"stylers": {"visibility": "off"},
},
{
"featureType": "arterial",
"elementType": "geometry",
"stylers": {"color": "#fefefe"},
},
{
"featureType": "arterial",
"elementType": "geometry.fill",
"stylers": {"color": "#fefefe"},
},
{
"featureType": "poi",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "green",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "subway",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "manmade",
"elementType": "all",
"stylers": {"color": "#d1d1d1"},
},
{
"featureType": "local",
"elementType": "all",
"stylers": {"color": "#d1d1d1"},
},
{
"featureType": "arterial",
"elementType": "labels",
"stylers": {"visibility": "off"},
},
{
"featureType": "boundary",
"elementType": "all",
"stylers": {"color": "#fefefe"},
},
{
"featureType": "building",
"elementType": "all",
"stylers": {"color": "#d1d1d1"},
},
{
"featureType": "label",
"elementType": "labels.text.fill",
"stylers": {"color": "#999999"},
},
]
},
)
.add(
"",
type_="lines",
data_pair=j,
is_polyline=True,
is_large=True,
linestyle_opts=opts.LineStyleOpts(color="purple", opacity=0.6, width=1),
)
.add_control_panel(
maptype_control_opts=opts.BMapTypeControlOpts(
type_=BMapType.MAPTYPE_CONTROL_DROPDOWN
),
scale_control_opts=opts.BMapScaleControlOpts(),
overview_map_opts=opts.BMapOverviewMapControlOpts(is_open=True),
)
.set_global_opts(title_opts=opts.TitleOpts(title="BMap-杭州热门步行路线"))
)
return c
BMap(
init_opts=opts.InitOpts(
width="1400px",
height="800px"),
is_ignore_nonexistent_coord=True, # 是否忽略不存在的坐标，默认值为 False，即不忽略
)
.add(
series_name="pm2.5", # 系列名称，用于 tooltip 的显示，legend 的图例筛选。
data_pair=convert_data(), # 坐标点经纬度以及数值数据
type_="effectScatter", # 图类型————————散射效应图
is_selected=True, # 是否选中图例
# symbol = "roundRect", # 标记类型包括 ‘circle’, ‘rect’, ‘roundRect’, ‘triangle’,‘diamond’, ‘pin’, ‘arrow’, ‘none’,
symbol_size=5, # 散点大小
color="red", # 系列label的颜色
is_polyline=False, # 是否是多段线，在画 lines 图情况下
is_large=True, # 是否启用大规模线图的优化，在数据图形特别多的时候（>=5k）可以开启
large_threshold=2000, # 开启绘制优化的阈值
# label_opts=opts.LabelOpts(formatter="{b}:{c}\n({d}%)", position="left", is_show=True), # a/b/c,分别显示pm25/城市名/经纬度/
label_opts=opts.LabelOpts(is_show=False), # 还没搞懂formatter
effect_opts=opts.EffectOpts(False), # 涟漪特效功能
linestyle_opts=opts.LineStyleOpts(is_show=True), # 线样式配置项
tooltip_opts=opts.TooltipOpts(is_show=True,trigger="item",trigger_on="mousemove|click"),
itemstyle_opts=opts.ItemStyleOpts(color="yellow"), # 图元样式配置项
)
.add_schema(
baidu_ak="TV72R1obhPKWvnWvrlpclPYdlFExbCb1", # 百度申请，打开最后保存的网页会提示你如何申请，这里我申请的是浏览器端地图的使用权限，“”内为百度AK码
center=[107.114129, 33.550339], # 不进行任何移动缩放之前的视角的中心点，用经纬度表示
zoom=5, # 不进行任何缩放之前能看到的网页面积，越小看到区域越大（远超过中国区域），越大看到区域越小（可能进显示一个城市），貌似仅能为整数,如5.5相当于5
is_roam=True, # True，网页可用鼠标滚轮缩放，False则不行
map_style={
"styleJson": [
{
"featureType": "water", # 这块儿里面的所有color建议都默认
"elementType": "all",
"stylers": {"color": "#044161"}, # stylers 网页有底色，styles网页没有底色（例图如直接百度地图）
}, # 建议有底色 414行设置为黄色，没有底色的409设为红色
{
"featureType": "land",
"elementType": "all",
"stylers": {"color": "#004981"}, # python控制台设置颜色
},
{
"featureType": "boundary",
"elementType": "geometry",
"stylers": {"color": "#064f85"},
},
{
"featureType": "railway",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "highway",
"elementType": "geometry",
"stylers": {"color": "#004981"},
},
{
"featureType": "highway",
"elementType": "geometry.fill",
"stylers": {"color": "#005b96", "lightness": 1},
},
{
"featureType": "highway",
"elementType": "labels",
"stylers": {"visibility": "off"},
},
{
"featureType": "arterial", # 城市主干道
"elementType": "geometry",
"stylers": {"color": "#004981"},
},
{
"featureType": "arterial",
"elementType": "geometry.fill",
"stylers": {"color": "#00508b"},
},
{
"featureType": "poi", # 某个地理位置周边的信息
"elementType": "all",
"stylers": {"visibility": "on"},
},
{
"featureType": "green", # 绿色下垫面
"elementType": "all",
"stylers": {"color": "#056197", "visibility": "off"},
},
{
"featureType": "subway",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "manmade", # 人造的，不知道是啥？？？
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "local",
"elementType": "all",
"stylers": {"visibility": "off"},
},
{
"featureType": "arterial",
"elementType": "labels",
"stylers": {"visibility": "off"},
},
{
"featureType": "boundary",
"elementType": "geometry.fill",
"stylers": {"color": "#029fd4"},
},
{
"featureType": "building",
"elementType": "all",
"stylers": {"color": "#1a5787"},
},
{
"featureType": "label",
"elementType": "all",
"stylers": {"visibility": "off"},
},
]
},
)
.set_global_opts(
title_opts=opts.TitleOpts(
title="全国主要城市空气质量",
subtitle="df from PM25.in",
subtitle_link="http://www.pm25.in", # 点击网页subtitle，可以进这个网站
pos_left="left", # 主副标题位置，最开始为center，会挡住PM25开关，改为左更好
title_textstyle_opts=opts.TextStyleOpts(color="yellow"), # 最开始颜色为#fff，但改为黄色更好看
)
)
.add_control_panel(
# navigation_control_opts=opts.BMapNavigationControlOpts(position=BMapType.ANCHOR_TOP_RIGHT),
opts.BMapNavigationControlOpts( # 地图的平移缩放控件
position=0, # 等同于anchor_top_left，1、2、3分别为右上，左下，右下
offset_height=50, # 距离上部偏移量
offset_width=10, # 距离左右偏移量
type_=0, # 0-4表示NAVIGATION_CONTROL_LARGE/SMALL/PAN/ZOOM,又标准平移缩放滑块/平移缩放/仅平移/仅缩放
is_show_zoom_info=True, # 是否显示级别提示信息
is_enable_geo_location=True, # 控件是否集成定位功能
), # 若下面还有add_contorl_panel里面的空间调整，这里必须有“，”，若没有，可以没有逗号
opts.BMapOverviewMapControlOpts( # 缩略地图控件
# position=0, # 等同于anchor_top_left，1、2、3分别为右上，左下，右下
# offset_height=50, # 距离上部偏移量
# offset_width=10, # 距离左右偏移量
is_open=True,
),
opts.BMapScaleControlOpts( # 比例尺控件
# position=0, # 等同于anchor_top_left，1、2、3分别为右上，左下，右下
# offset_height=50, # 距离上部偏移量
# offset_width=10, # 距离左右偏移量
),
opts.BMapTypeControlOpts( # 切换地图类型的控件
# position=0,
type_=2, # MAPTYPE_CONTROL_HORIZONTAL/DROPDOWN/MAP，按钮水平方式展示为0,下拉列表为1，图片方式为2（设置该类型后无法指定 maptypes 属性）
),
opts.BMapCopyrightTypeOpts( # 版权控件，您可以在地图上添加自己的版权信息
# position=0,
# offset_height=50, # 距离上部偏移量
# offset_width=10, # 距离左右偏移量
copyright_="made by shh", # Copyright 的文本内容, 可以放入 HTML 标签
),
opts.BMapGeoLocationControlOpts( # 地图定位的控件，使用 HTML5 浏览器定位功能
# position=0,
# offset_height=50, # 距离上部偏移量
# offset_width=10, # 距离左右偏移量
is_show_address_bar=True, # 是否显示定位信息面板。默认显示定位信息面板
is_enable_auto_location=True, # 添加控件时是否进行定位。默认添加控件时不进行定位
)
)
.render("e:/python_out/air_quality_baidu_map.html")
from pywebio.output import put_html
from pyecharts import options as opts
from pyecharts.charts import BMap
from pyecharts.faker import Faker
c = (
BMap()
.add_schema(baidu_ak="FAKE_AK", center=[120.13066322374, 30.240018034923])
.add(
"bmap",
[list(z) for z in zip(Faker.provinces, Faker.values())],
type_="heatmap",
label_opts=opts.LabelOpts(formatter="{b}"),
)
.set_global_opts(
title_opts=opts.TitleOpts(title="BMap-热力图"), visualmap_opts=opts.VisualMapOpts()
)
)
c.width = "100%"
put_html(c.render_notebook())
return coord
def get_data_pair(speed, n):
data = []
for street in speed:
spd = speed[street][n]
if isnan(spd):
spd = 0
data.append([street, spd])
return data
if __name__ == '__main__':
info = load_street_pickle()
m = BMap(init_opts=opts.InitOpts(width="1600px", height="800px"))
m.add_schema(baidu_ak="Uf1rIjuIVVXxDwEy0iEU0tApwdoqGeGn",
center=[108.953457, 34.26949],
zoom=15,
is_roam=True,
map_style={
"styleJson": [{
"featureType": "water",
"elementType": "all",
"stylers": {
"color": "#d1d1d1"
}
}, {
"featureType": "land",
"elementType": "all",
"stylers": {
from pyecharts import options as opts
from pyecharts.charts import BMap
from pyecharts.faker import Faker
(BMap(init_opts=opts.InitOpts(width='900px', height='600px')).add(
series_name='虚假数据',
data_pair=[list(z) for z in zip(Faker.provinces, Faker.values())],
label_opts=opts.LabelOpts(formatter='{b}')).add_schema(
baidu_ak='P7TXy8G74PrSxmfq0L0DQ6raaN38yOWG',
center=[120.13066322374, 30.240018034923]).set_global_opts(
title_opts=opts.TitleOpts(title='例子')).render('my_base.html'))
