Plotly Choropleth Map 未绘制

Question

我正在尝试在 Jupyter 笔记本中使用 Plotly 可视化一些数据，但未显示等值线图，正如您在 this image 中看到的那样。

我正在处理的数据集来自https://csbh-dashboard.mckinsey.com/#/data-insights?chart=SP&geo=County&lob=All&metric1=covid_case_count&metric2=covid_death_count_per_100k_pop&tab=Map

我已尝试从这里跟踪过去的一些提交，但我没有取得任何进展。我将不胜感激这方面的任何帮助，谢谢。这是到目前为止的代码

import pandas as pd
import plotly.graph_objs as go
from plotly.offline import init_notebook_mode, iplot
init_notebook_mode(connected = True)

df = pd.read_csv('State-level-data_31_07_2021.csv')
df.head()

data = dict(type='choropleth',
        locations = df['State'],
        locationmode = 'USA-states',
        colorscale = 'Greens',
        text = df['State Code'],
        z = df['Cases of COVID-19'],
        colorbar = {'title':"Cases of COVID-19"}
        )
       
layout = dict(title = 'Cases of COVID-19 in USA Map',
          geo = dict(scope='usa')
         )

choromap = go.Figure(data = [data],layout = layout)
iplot(choromap)

Answer 1

我没有使用您提供的数据，因为它需要注册。相反，我根据官方reference 中的示例修改了您的代码。我不确定数据格式是什么，但它必须是要在 Locations 中指定的状态代码。代码样式已更改为官方参考中使用的格式。此外，这不是问题的原因。

import pandas as pd
import plotly.graph_objs as go

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2011_us_ag_exports.csv')

df.head()

	code	state	category	total exports	beef	pork	poultry	dairy	fruits fresh	fruits proc	total fruits	veggies fresh	veggies proc	total veggies	corn	wheat	cotton
0	AL	Alabama	state	1390.63	34.4	10.6	481	4.06	8	17.1	25.11	5.5	8.9	14.33	34.9	70	317.61
1	AK	Alaska	state	13.31	0.2	0.1	0	0.19	0	0	0	0.6	1	1.56	0	0	0
2	AZ	Arizona	state	1463.17	71.3	17.9	0	105.48	19.3	41	60.27	147.5	239.4	386.91	7.3	48.7	423.95
3	AR	Arkansas	state	3586.02	53.2	29.4	562.9	3.53	2.2	4.7	6.88	4.4	7.1	11.45	69.5	114.5	665.44
4	CA	California	state	16472.9	228.7	11.1	225.4	929.95	2791.8	5944.6	8736.4	803.2	1303.5	2106.79	34.6	249.3	1064.95

fig = go.Figure(data = go.Choropleth(
    locations = df['code'],
    locationmode = 'USA-states',
    colorscale = 'Greens',
    text = df['code'],
    z = df['total exports'].astype(float),
    colorbar_title = "Total Exports"
))
       
fig.update_layout(
    title_text = 'Total Exports in USA Map',
    geo_scope = 'usa'
)

fig.show()