Python Plotly：如何从嵌套dict检索分组条形图的y轴值？

这是我最后一本字典

{'1': {'Pen': [0.99], 'Note': [1.62]},
 '2': {'Pen': [1.94], 'Note': [2.17]}}

我试图在python中使用plotly绘制组条形图 我得到了我的x值

[x代表cdict.key（）中的x代表cdict.items（）中的k，v代表cdict.items（）]

我无法正确获取y值。

请尝试：

y_pen = [cdict[j]["Pen"][0] for j in cdict]
y_note = [cdict[j]["Note"][0] for j in cdict]

---

y\u pen:

[0.99, 1.94]

[1.62, 2.17]

# imports
import plotly.express as px
import plotly.graph_objs as go
import pandas as pd
import numpy as np

cdict = {'1': {'Pen': [0.99], 'Note': [1.62]},
         '2': {'Pen': [1.94], 'Note': [2.17]}}

# get x-values, in this case ['Pen', 'Note']
xVals = list([cdict[k].keys() for k in cdict.keys()][0])

# get y-values, in this case [[0.99, 1.94], [1.62, 2.17]]
yVals = []
for x in xVals:
    yVals.append([cdict[j][x][0] for j in cdict])

# set up plotly figure
fig=go.Figure()

# add trace for each element in yVals
for i, y in enumerate(yVals):
  fig.add_traces(go.Bar(x=xVals, y=y, name = 'Group'+str(i+1)))

fig.show()

---

y\u注意：

[0.99, 1.94]

[1.62, 2.17]

# imports
import plotly.express as px
import plotly.graph_objs as go
import pandas as pd
import numpy as np

cdict = {'1': {'Pen': [0.99], 'Note': [1.62]},
         '2': {'Pen': [1.94], 'Note': [2.17]}}

# get x-values, in this case ['Pen', 'Note']
xVals = list([cdict[k].keys() for k in cdict.keys()][0])

# get y-values, in this case [[0.99, 1.94], [1.62, 2.17]]
yVals = []
for x in xVals:
    yVals.append([cdict[j][x][0] for j in cdict])

# set up plotly figure
fig=go.Figure()

# add trace for each element in yVals
for i, y in enumerate(yVals):
  fig.add_traces(go.Bar(x=xVals, y=y, name = 'Group'+str(i+1)))

fig.show()

---

---

在我看来，这就是你想要的：

如果是这种情况，您必须为x值创建一个列表，如

['Pen'，'Note']

，并检索y值列表，如

[[0.99,1.94]，[1.62,2.17]

完整代码：

[0.99, 1.94]

[1.62, 2.17]

# imports
import plotly.express as px
import plotly.graph_objs as go
import pandas as pd
import numpy as np

cdict = {'1': {'Pen': [0.99], 'Note': [1.62]},
         '2': {'Pen': [1.94], 'Note': [2.17]}}

# get x-values, in this case ['Pen', 'Note']
xVals = list([cdict[k].keys() for k in cdict.keys()][0])

# get y-values, in this case [[0.99, 1.94], [1.62, 2.17]]
yVals = []
for x in xVals:
    yVals.append([cdict[j][x][0] for j in cdict])

# set up plotly figure
fig=go.Figure()

# add trace for each element in yVals
for i, y in enumerate(yVals):
  fig.add_traces(go.Bar(x=xVals, y=y, name = 'Group'+str(i+1)))

fig.show()

---

请告诉我们您的预期产量。