因此，我坚持尝试创建具有多个Sankey图的图。具体来说，我一直收到一个错误，提示“为类型为plotly.graph_objs.Sankey的对象指定了无效属性：'xaxis'” 。脚本进入 append_trace 命令时，似乎会调用此函数。这是一个简单的示例代码，我在Jupyter笔记本中运行：
import plotly.tools as tools
import plotly.offline as offline
import plotly.graph_objs as go
offline.init_notebook_mode(connected = True)
trace1 = go.Sankey(
node = dict(
pad = 15,
thickness = 20,
line = dict(
color = "black",
width = 0.5
),
label = ["Joe", "Molly", "Gavin", "Octavio", "Leslie", "Natasha"],
color = ["blue", "red", "green", "yellow", "brown", "magenta"]
),
link = dict(
source = [0,1,3],
target = [5,5,0],
value = [6,8,3]
)
)
trace2 = go.Sankey(
node = dict(
pad = 15,
thickness = 20,
line = dict(
color = "black",
width = 0.5
),
label = ["Russia", "Gambia", "Sweden", "Bolivia", "Timor-Leste", "Kazakhstan", "Bhutan"],
color = ["red", "black", "brown", "magenta", "yellow", "blue", "orange"]
),
link = dict(
source = [0,1,4,6],
target = [7,7,7,3],
value = [6,8,3,3]
)
)
fig = tools.make_subplots(rows = 2, cols = 1)
fig.append_trace(trace1, 1, 1)
fig.append_trace(trace2, 2, 1)
fig['layout'].update(
title = "Basic Sankey Diagram with Two Subplots",
font = dict(
size = 10
)
)
offline.iplot(fig)
运行它时，我得到以下回溯：
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-4-dd6268edf7ab> in <module>
37 fig = tools.make_subplots(rows = 2, cols = 1)
38
---> 39 fig.append_trace(trace1, 1, 1)
40 fig.append_trace(trace2, 2, 1)
41
/anaconda3/lib/python3.7/site-packages/plotly/basedatatypes.py in append_trace(self, trace, row, col)
1222 """, DeprecationWarning)
1223
-> 1224 self.add_trace(trace=trace, row=row, col=col)
1225
1226 def _set_trace_grid_position(self, trace, row, col):
/anaconda3/lib/python3.7/site-packages/plotly/basedatatypes.py in add_trace(self, trace, row, col)
1069 return self.add_traces(data=[trace],
1070 rows=[row] if row is not None else None,
-> 1071 cols=[col] if col is not None else None
1072 )[0]
1073
/anaconda3/lib/python3.7/site-packages/plotly/basedatatypes.py in add_traces(self, data, rows, cols)
1152 if rows is not None:
1153 for trace, row, col in zip(data, rows, cols):
-> 1154 self._set_trace_grid_position(trace, row, col)
1155
1156 # Make deep copy of trace data (Optimize later if needed)
/anaconda3/lib/python3.7/site-packages/plotly/basedatatypes.py in _set_trace_grid_position(self, trace, row, col)
1259 "An axis object for ({r},{c}) subplot "
1260 "cell got deleted.".format(r=row, c=col))
-> 1261 trace['xaxis'] = ref[0]
1262 trace['yaxis'] = ref[1]
1263
/anaconda3/lib/python3.7/site-packages/plotly/basedatatypes.py in __setitem__(self, prop, value)
2823 # ### Validate prop ###
2824 if prop not in self._validators:
-> 2825 self._raise_on_invalid_property_error(prop)
2826
2827 # ### Get validator for this property ###
/anaconda3/lib/python3.7/site-packages/plotly/basedatatypes.py in _raise_on_invalid_property_error(self, *args)
3006 full_obj_name=full_obj_name,
3007 invalid_str=invalid_str,
-> 3008 prop_descriptions=self._prop_descriptions))
3009
3010 def update(self, dict1=None, **kwargs):
ValueError: Invalid property specified for object of type plotly.graph_objs.Sankey: 'xaxis'
我没有在跟踪中指定 xaxis ，所以这到底是哪里来的？似乎这部分可能与它有关：
/anaconda3/lib/python3.7/site-packages/plotly/basedatatypes.py in _set_trace_grid_position(self, trace, row, col)
1259 "An axis object for ({r},{c}) subplot "
1260 "cell got deleted.".format(r=row, c=col))
-> 1261 trace['xaxis'] = ref[0]
1262 trace['yaxis'] = ref[1]
1263
这是一个错误吗？我不知道。
有人帮助！
答案 0 :(得分：0)
尝试this way而不进行附加操作：
将此添加到两条迹线的定义中。
type='sankey',
将两个子图定义为数据数组。
data = Data([trace1, trace2])
定义fig：
fig = dict(data=[data], layout=layout)
py.iplot(fig, validate=False)
最后，您需要使用字典添加布局的定义，如我所引用的帖子所示。
答案 1 :(得分：0)
我在Plotly社区论坛here上交叉发布了此问题，并得到了一个解决了这个问题的答案（大部分是）。我将在此处复制答案，以便即使链接断开也可以保留答案。
您遇到的麻烦是 make_subplots 和 append_trace 现在仅适用于笛卡尔跟踪类型。我们正计划针对版本4进行改进，但与此同时，最好的方法是使用domain属性分别指定每个sankey跟踪的位置。
import plotly.offline as offline
import plotly.graph_objs as go
offline.init_notebook_mode(connected = True)
trace1 = go.Sankey(
node = dict(
pad = 15,
thickness = 20,
line = dict(
color = "black",
width = 0.5
),
label = ["Joe", "Molly", "Gavin", "Octavio", "Leslie", "Natasha"],
color = ["blue", "red", "green", "yellow", "brown", "magenta"]
),
link = dict(
source = [0,1,3],
target = [5,5,0],
value = [6,8,3]
),
domain={
'x': [0, 0.45]
}
)
trace2 = go.Sankey(
node = dict(
pad = 15,
thickness = 20,
line = dict(
color = "black",
width = 0.5
),
label = ["Russia", "Gambia", "Sweden", "Bolivia", "Timor-Leste", "Canada", "Bhutan"],
color = ["red", "black", "brown", "magenta", "yellow", "blue", "orange"]
),
link = dict(
source = [0,1,4,6],
target = [7,7,7,3],
value = [6,8,3,3]
),
domain={
'x': [0.55, 1.0]
}
)
data = [trace1, trace2]
layout = go.Layout(
title = "Basic Sankey Diagram",
font = dict(
size = 10
)
)
fig = go.Figure(data=data, layout=layout)
iplot(fig)
这将并排生成两个子图：
我们可以指定“ y”来垂直放置子图，而不是在域中指定“ x”。
这是一个不错的技巧，缺少对Sankey子图的内置支持。唯一的缺点是我看不到如何为子图指定单独的标题。
