使用plotly对美国疫情地图可视化

心已赠人 2023-02-15 05:26 21阅读 0赞

代码如下：

import plotly.graph_objects as go
 import pandas as pd
 from plotly.offline import plot
 
 codes = ['MA', 'WA', 'CA', 'OR', 'WI', 'ME', 'MI', 'NV', 'NM', 'CO', 'WY', 'KS', 'NE', 'OK', 'MO', 'IL', 'IN', 'VT',
 'AR', 'TX', 'RI', 'AL', 'MS', 'NC', 'VA', 'IA', 'MD', 'DE', 'PA', 'NJ', 'NY', 'ID', 'SD', 'CT', 'NH', 'KY',
 'OH', 'TN', 'WV', 'DC', 'LA', 'FL', 'GA', 'SC', 'MN', 'MT', 'ND', 'AZ', 'UT', 'HI', 'AK']
 confirmed = []
 ma_num = 130
 other_num = 0
 for i in codes:
 if i == 'MA':
 confirmed.append(ma_num)
 else:
 confirmed.append(other_num)
 df = pd.DataFrame({ 'codes': codes, 'confirmed': confirmed})
 
 fig = go.Figure(data=go.Choropleth(
 locations=df['codes'], # 设置位置，各州的编号（缩写）
 z=df['confirmed'].astype(float), # 设置填充色数据
 locationmode='USA-states', # 设置国家名称
 hovertext=df['codes'],
 colorscale='Reds', # 图例颜色
 colorbar_title="Confirmed Number", # 图例标题
 ))
 
 fig.update_layout(
 title_text='American Convid-9 Counts', # 地图标题
 geo_scope='usa', # 设置地图的范围为美国
 # scope可选有"world"，"usa"，"europe"，"asia"，"africa"，"north america"，"south america"
 )
 fig.data[0].hovertemplate = 'City: %{hovertext}' + \
 ' Confirmed Number : %{z}'
 plot(fig, filename='MA.html')

可视化结果：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM1MjAzNDI1_size_16_color_FFFFFF_t_70]

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM1MjAzNDI1_size_16_color_FFFFFF_t_70]: https://img-blog.csdnimg.cn/20200604170825420.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM1MjAzNDI1,size_16,color_FFFFFF,t_70