Python 为什么子地块不显示在子地块中？

我想创建一个只有3个子地块的2x2地块。1个条形图和2个柱状图。见代码：

import plotly.graph_objs as go 
from plotly.subplots import make_subplots

years = [1980, 1980, 1982, 1983, 1984, 1985, 1986, 1987, 1988,
         1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997,
         1998, 1999 ,2000 ,2001, 2002, 2003, 2004, 2005, 2006, 
         2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015,
         2016, 2017, 2018, 2019, 2020]
freq = [173,1368,2238,4135,5455,6280,7470,6580,7537,8781,10894,14788,20562,27637,
        32446,32665,30374,28234,24235,22312,16817,20222,24080,30398,30230,27462,
        33582,28908,31648,26579,29121,31216,34574,34271,32570,32531,43390,46761,
        55920,34675,0]

values_in = [872641, 13994, 39055, 8985]
labels_in = ['Company', 'Goverment (NGO)', 'Individual', 'University']

values_cty = [297286, 175039, 170002, 66060, 35678, 31959, 26268, 24724, 22058, 17902],
labels_cty = ['Japan', 'Germany', 'USA', 'France' ,'Italy' ,'Switzerland' , 'Korea',
          'Great Brtian', 'Netherlands', 'China(PRC)']

fig = make_subplots(
    rows=2, cols=2,
    specs=[[{"colspan": 2}, None],[{'type':'pie'}, {'type':'pie'}]],
    subplot_titles=("Patents","Countries", "Institutions"))

fig.add_trace(go.Bar(x=years, y=freq),row=1,col=1)

fig.add_trace(go.Pie(labels=labels_cty, values=values_cty),
                 row=2, col=1)
fig.add_trace(go.Pie(labels=labels_in, values=values_in),
                 row=2, col=2)

我不明白为什么不显示图表。没有错误代码。

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我遗漏了什么吗？

在我看来，您只遗漏了一些子包所需的域属性，例如

go.Pie（）

：

绘图：

代码：

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谢谢你详细的回答。@Epimetheus不客气！谢谢你接受并投票支持我的建议！关于我如何处理子图2中的重叠问题（direction='synchronous'不起作用）以及如何增加饼图的大小，您可能有一些建议？@Epimetheus-可能是的。如果你花时间把它作为一个新问题发布，那么我会确保在有时间的时候看一看。

domain=dict(x=[0, 0.5]

from plotly.subplots import make_subplots
import plotly.graph_objects as go

years = [1980, 1980, 1982, 1983, 1984, 1985, 1986, 1987, 1988,
         1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997,
         1998, 1999 ,2000 ,2001, 2002, 2003, 2004, 2005, 2006, 
         2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015,
         2016, 2017, 2018, 2019, 2020]
freq = [173,1368,2238,4135,5455,6280,7470,6580,7537,8781,10894,14788,20562,27637,
        32446,32665,30374,28234,24235,22312,16817,20222,24080,30398,30230,27462,
        33582,28908,31648,26579,29121,31216,34574,34271,32570,32531,43390,46761,
        55920,34675,0]

values_in = [872641, 13994, 39055, 8985]
labels_in = ['Company', 'Goverment (NGO)', 'Individual', 'University']

values_cty = [297286, 175039, 170002, 66060, 35678, 31959, 26268, 24724, 22058, 17902]
labels_cty = ['Japan', 'Germany', 'USA', 'France' ,'Italy' ,'Switzerland' , 'Korea',
          'Great Brtian', 'Netherlands', 'China(PRC)']

fig = make_subplots(
    rows=2, cols=2,
    specs=[[{"colspan": 2}, None],[{'type':'pie'}, {'type':'pie'}]],
    subplot_titles=("Patents","Countries", "Institutions"))

fig.add_trace(go.Bar(x=years, y=freq),row=1,col=1)

fig.add_trace(go.Pie(
     values= [872641, 13994, 39055, 8985],
     labels=labels_in,
     domain=dict(x=[0, 0.5]),
     ), 
     row=2, col=1)

fig.add_trace(go.Pie(
     values=values_cty,
     labels=labels_cty,
     domain=dict(x=[0.5, 1.0]),
     ),
    row=2, col=2)

fig.show()