问题更新 - 请参阅下面的编辑部分！
我正在研究Kaggle Dataset about the recent history of the Olympic Games。
我想在内核中添加一些地图，用图表显示全世界金牌得主的分布情况。
我使用了以下不显示输出的代码，请你帮忙吗？
import plotly.graph_objs as go
from plotly.offline import init_notebook_mode,iplot
init_notebook_mode(connected=True)
data = dict(type = 'choropleth',
locations = goldMedals['region'],
locationmode = 'country names',
colorscale = 'Viridis',
reversescale = True,
text= goldMedals['region'],
z = goldMedals['region'],
colorbar = {'title':'gold medals'})
layout = dict(title = 'gold medals',
geo = dict(showframe = False,projection = {'type':'Mercator'})
)
如果您需要查看所有数据，可以查看the complete Kernel on Kaggle。
编辑1：感谢收到的第一个答案，我添加了以下代码来显示地图但我收到了一个valueError
fig = dict(data=data, layout=layout)
iplot(fig)
错误：
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-11-62ab92846e12> in <module>()
1 fig = dict(data=data, layout=layout)
----> 2 iplot(fig)
/opt/conda/lib/python3.6/site-packages/plotly/offline/offline.py in iplot(figure_or_data, show_link, link_text, validate, image, filename, image_width, image_height, config)
334 config.setdefault('linkText', link_text)
335
--> 336 figure = tools.return_figure_from_figure_or_data(figure_or_data, validate)
337
338 # Though it can add quite a bit to the display-bundle size, we include
/opt/conda/lib/python3.6/site-packages/plotly/tools.py in return_figure_from_figure_or_data(figure_or_data, validate_figure)
1473
1474 try:
-> 1475 figure = Figure(**figure).to_dict()
1476 except exceptions.PlotlyError as err:
1477 raise exceptions.PlotlyError("Invalid 'figure_or_data' argument. "
/opt/conda/lib/python3.6/site-packages/plotly/graph_objs/_figure.py in __init__(self, data, layout, frames)
312 respective traces in the data attribute
313 """
--> 314 super(Figure, self).__init__(data, layout, frames)
315
316 def add_area(
/opt/conda/lib/python3.6/site-packages/plotly/basedatatypes.py in __init__(self, data, layout_plotly, frames)
114
115 # ### Import traces ###
--> 116 data = self._data_validator.validate_coerce(data)
117
118 # ### Save tuple of trace objects ###
/opt/conda/lib/python3.6/site-packages/_plotly_utils/basevalidators.py in validate_coerce(self, v)
1977
1978 else:
-> 1979 self.raise_invalid_val(v)
1980
1981 return v
/opt/conda/lib/python3.6/site-packages/_plotly_utils/basevalidators.py in raise_invalid_val(self, v)
214 typ=type_str(v),
215 v=repr(v),
--> 216 valid_clr_desc=self.description()))
217
218 def raise_invalid_elements(self, invalid_els):
ValueError:
Invalid value of type 'builtins.dict' received for the 'data' property of
Received value: {'type': 'choropleth', 'locations': 3 Denmark
42 Finland
44 Finland
48 Finland
60 Norway
73 Norway
76 Norway
78 Norway
79 Norway
113 Norway
117 Norway
150 France
172 Belarus
173 France
174 France
178 Cameroon
182 Spain
188 Spain
200 France
218 Italy
219 Italy
220 Italy
221 Italy
222 Italy
226 Italy
227 Italy
283 USA
524 Pakistan
550 Russia
587 Uzbekistan
...
270411 Italy
270416 Italy
270431 China
270432 China
270433 China
270434 China
270435 China
270439 China
270440 China
270477 Serbia
270480 Russia
270514 Croatia
270552 Hungary
270588 Russia
270609 Russia
270610 Russia
270641 Russia
270676 Italy
270770 Germany
270773 Russia
270876 Switzerland
270896 Germany
270917 Switzerland
270934 Russia
270970 Belarus
270981 Georgia
271009 Germany
271016 Netherlands
271049 Netherlands
271076 Russia
Name: region, Length: 13224, dtype: object, 'locationmode': 'country names', 'colorscale': 'Viridis', 'reversescale': True, 'text': 3 Denmark
42 Finland
44 Finland
48 Finland
60 Norway
73 Norway
76 Norway
78 Norway
79 Norway
113 Norway
117 Norway
150 France
172 Belarus
173 France
174 France
178 Cameroon
182 Spain
188 Spain
200 France
218 Italy
219 Italy
220 Italy
221 Italy
222 Italy
226 Italy
227 Italy
283 USA
524 Pakistan
550 Russia
587 Uzbekistan
...
270411 Italy
270416 Italy
270431 China
270432 China
270433 China
270434 China
270435 China
270439 China
270440 China
270477 Serbia
270480 Russia
270514 Croatia
270552 Hungary
270588 Russia
270609 Russia
270610 Russia
270641 Russia
270676 Italy
270770 Germany
270773 Russia
270876 Switzerland
270896 Germany
270917 Switzerland
270934 Russia
270970 Belarus
270981 Georgia
271009 Germany
271016 Netherlands
271049 Netherlands
271076 Russia
Name: region, Length: 13224, dtype: object, 'z': 3 Denmark
42 Finland
44 Finland
48 Finland
60 Norway
73 Norway
76 Norway
78 Norway
79 Norway
113 Norway
117 Norway
150 France
172 Belarus
173 France
174 France
178 Cameroon
182 Spain
188 Spain
200 France
218 Italy
219 Italy
220 Italy
221 Italy
222 Italy
226 Italy
227 Italy
283 USA
524 Pakistan
550 Russia
587 Uzbekistan
...
270411 Italy
270416 Italy
270431 China
270432 China
270433 China
270434 China
270435 China
270439 China
270440 China
270477 Serbia
270480 Russia
270514 Croatia
270552 Hungary
270588 Russia
270609 Russia
270610 Russia
270641 Russia
270676 Italy
270770 Germany
270773 Russia
270876 Switzerland
270896 Germany
270917 Switzerland
270934 Russia
270970 Belarus
270981 Georgia
271009 Germany
271016 Netherlands
271049 Netherlands
271076 Russia
Name: region, Length: 13224, dtype: object, 'colorbar': {'title': 'gold medals'}}
The 'data' property is a tuple of trace instances
that may be specified as:
- A list or tuple of trace instances
(e.g. [Scatter(...), Bar(...)])
- A list or tuple of dicts of string/value properties where:
- The 'type' property specifies the trace type
One of: ['area', 'bar', 'box', 'candlestick', 'carpet',
'choropleth', 'cone', 'contour',
'contourcarpet', 'heatmap', 'heatmapgl',
'histogram', 'histogram2d',
'histogram2dcontour', 'mesh3d', 'ohlc',
'parcoords', 'pie', 'pointcloud', 'sankey',
'scatter', 'scatter3d', 'scattercarpet',
'scattergeo', 'scattergl', 'scattermapbox',
'scatterpolar', 'scatterpolargl',
'scatterternary', 'splom', 'streamtube',
'surface', 'table', 'violin']
- All remaining properties are passed to the constructor of
the specified trace type
(e.g. [{'type': 'scatter', ...}, {'type': 'bar, ...}])
要创建输出，您需要使用data和layout变量创建一个数字。然后使用iplot来显示图形。
fig = dict(data=data, layout=layout)
iplot(fig)
根据您尝试制作的地图类型，您可能需要重新格式化data和layout变量。你可以找到不同的地图选项here。