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from pyecharts.charts import Map
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from pyecharts import options as opts
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import pandas as pd
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from getData import getData
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def map():
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getData()
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data = pd.read_csv('北京市区房价.csv',encoding='utf-8')
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info = data[['行政区','均价(元/㎡)']].copy()
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# 移除千分号，转换为浮点数，然后四舍五入到最接近的整数（或者直接使用astype(int)向下取整）
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info['均价(元/㎡)'] = info['均价(元/㎡)'].str.replace(',', '').astype(float).round().astype(int)
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info_list = info.values.tolist()
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print(info_list)
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map=Map(
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init_opts=opts.InitOpts(
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page_title="地图"
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)
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)
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map.add(
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series_name="平均房价",
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data_pair=info_list,
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maptype="北京",
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zoom=1,
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)
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map.set_global_opts(
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title_opts=opts.TitleOpts(
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title="北京市市区",
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pos_left='center',
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),
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legend_opts=opts.LegendOpts(
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pos_left="left", # 图例在左边
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orient="vertical" # 垂直排列图例
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),
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visualmap_opts=opts.VisualMapOpts(
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max_=130000,
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min_=19000,
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range_color=['#1E9600','#fff200','#ff0000']
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)
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)
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map.render('map.html')
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