Python 3.x Plotly中存在多个Sankey子批次的问题

Python 3.x Plotly中存在多个Sankey子批次的问题,python-3.x,plotly-python,Python 3.x,Plotly Python,所以我一直在尝试创建一个包含多个Sankey图表的绘图。具体地说,我一直收到一个错误,上面写着“为plotly.graph_objs.Sankey类型的对象指定的属性无效:'xaxis'”。这似乎是在脚本到达append\u trace命令时调用的。下面是一个简单的示例代码,我在Jupyter笔记本中运行该代码: import plotly.tools as tools import plotly.offline as offline import plotly.graph_objs as go

所以我一直在尝试创建一个包含多个Sankey图表的绘图。具体地说,我一直收到一个错误,上面写着“为plotly.graph_objs.Sankey类型的对象指定的属性无效:'xaxis'”。这似乎是在脚本到达append\u trace命令时调用的。下面是一个简单的示例代码,我在Jupyter笔记本中运行该代码:

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'
这是虫子吗?我不知道

谁来帮忙

尝试不附加操作:

将此添加到两条记录道的定义中

type='sankey',
将两个子地块定义为数据数组

data = Data([trace1, trace2])
定义

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,如我的参考帖子所示。

我在Plotly社区论坛上交叉发布了这个问题,并收到了一个答案(大部分)解决了这个问题。我将把答案复制到这里,这样即使链接失效也能保存下来

您遇到的问题是,make_子图和append_跟踪目前仅适用于笛卡尔跟踪类型。这是我们计划为版本4改进的内容,但同时,最好的方法是使用domain属性分别指定每个sankey跟踪的位置

这将同时生成两个子批次:

我们可以指定“y”来垂直定位子批次,而不是在域中指定“x”


这是一个很好的破解,缺少对Sankey子地块的内置支持。唯一的缺点是我看不出如何为子地块指定单个标题。

我的回答解决了您的问题吗?如果有,请接受并投票:有什么好方法可以为每个子地块获得标题?这将导致两个子地块重叠。去掉圆括号,这样就可以了。
fig = dict(data=[data], layout=layout)
py.iplot(fig, validate=False)
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)