def DrawGeo(city_names):
data = []
for cn in city_names:
temp = qr.get_data(cn)
data.append((cn, temp['pm25']))
geo = Geo('全国部分城市空气质量', 'pm2.5',
title_color='#fff',
title_pos='center',
width=1200,
height=600,
background_color='#404a59')
attr, value = geo.cast(data)
geo.add('', attr, value, visual_range=[0, 200], visual_text_color='#fff', symbol_size=15, is_visualmap=True, type='effectScatter')
geo.render('weatherGeo.html')
def geo(self, title=None, data=None):
"""
地图
:param title: 数据可视化的标题(字符串)
:param data: {地名:value} 字典{'宿迁市': 89, '安康市': 46, '佳木斯市': 50,}
:return:地图
"""
data = data
geo = Geo(title, 'data from AQI', title_color='#fff', \
title_pos='center', width=1200, height=600, background_color='#404a59')
attr, value = geo.cast(data) # data is not.0
geo.add('',
attr,
value,
visual_range=[0, 200],
visual_text_color='#fff',
symbol_size=15,
is_visualmap=True,
is_piecewise=True,
visual_split_number=6)
self.page.add(geo)
self.page.render()
"林芝市", "临夏州", "甘南州", "海北州", "黄南州", "海南州", "果洛州", "玉树州", "海西州",
"昌吉州", "博州", "克州", "伊犁哈萨克州"]
data = []
for index, row in df_aqi.iterrows():
city = row['city']
aqi = row['aqi']
if city in echart_unsupported_city:
continue
data.append( (city, aqi) )
geo = Geo("全国主要城市空气质量（AQI) - 2018-05-27", "数据来源于环保部网站",
title_color="#fff",
title_pos="center", width=1000,
height=600, background_color='#404a59')
attr, value = geo.cast(data)
geo.add("", attr, value,
visual_range=[0, 200], maptype='china',visual_text_color="#fff",
symbol_size=10, is_visualmap=True,
label_formatter='{b}', # 指定 label 只显示城市名
tooltip_formatter='{c}', # 格式：经度、纬度、值
label_emphasis_textsize=15, # 指定标签选中高亮时字体大小
label_emphasis_pos='right' # 指定标签选中高亮时字体位置
)
geo.render("aqi.html")
geo
def createCharts(self):
"""生成图表"""
# 读取数据,格式：[{"北京", 10}, {"上海",10}]
data = self.readCityNum()
# 1 热点图
geo1 = Geo("观众位置分布热点图",
"数据来源：猫眼，Fly采集",
page_title="#FFF",
title_pos="center",
width="100%",
height=600,
bg_color="#404A59")
attr1, value1 = geo1.cast(data)
geo1.add("",
attr1,
value1,
type="heatmap",
visual_range=[0, 1000],
visual_text_color="#FFF",
symbol_size=15,
is_visualmap=True,
is_piecewise=False,
visual_split_number=10)
geo1.render("files/观众位置热点图.html")
# 2 位置图
geo2 = Geo("观众位置分布",
"数据来源：猫眼，Fly采集",
title_color="#FFF",
title_pos="center",
width="100%",
height=600,
background_color="#404A59")
attr2, value2 = geo1.cast(data)
geo2.add("",
attr2,
value2,
visual_range=[0, 1000],
visual_text_color="#FFF",
symbol_size=15,
is_visualmap=True,
is_piecewise=False,
visual_split_number=10)
geo2.render("files/无名之辈-观众位置图.html")
# 3、top20 柱状图
data_top20 = data[:20]
bar = Bar("《无名之辈》观众来源排行 TOP20",
"数据来源：猫眼，Fly采集",
title_pos="center",
width="100%",
height=600)
attr, value = bar.cast(data_top20)
bar.add('',
attr,
value,
is_visualmap=True,
visual_range=[0, 3500],
visual_text_color="#FFF",
is_more_utils=True,
is_label_show=True)
bar.render("files/无名之辈-观众来源top20.html")
print("图表生成完成")
