1

所以我一直试图用多个桑基图创建一个图。具体来说，我不断收到一条错误消息，上面写着“为 plotly.graph_objs.Sankey: 'xaxis' 类型的对象指定的属性无效”。这似乎在脚本到达append_trace命令时被调用。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)

当我运行它时，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'

我没有在我的跟踪中指定xaxis，所以这到底是从哪里来的？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。

有人帮忙！

4

2 回答 2

1

我在这里的 Plotly 社区论坛上交叉发布了这个问题，并收到了一个解决它的答案（大部分）。我会在这里复制答案，这样即使链接失效，它也会被保留。

您遇到的问题是make_subplots和append_trace 现在仅适用于笛卡尔跟踪类型。这是我们计划在版本 4 中改进的内容，但与此同时，最好的方法是使用 domain 属性单独指定每个 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)

这会并排产生两个子图：

桑基子图水平

我们可以指定“y”来垂直定位子图，而不是在域中指定“x”。

这是一个不错的 hack，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。

于 2019-04-03T18:05:48.007 回答
0

在没有附加操作的情况下尝试这种方式：

将此添加到两条迹线的定义中。

type='sankey',

将您的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，如我引用的帖子中所示。

于 2019-04-03T08:42:04.873 回答