禁用x轴排序 [英] Plotly deactivate x axis sorting

问题描述

我想绘制条形图.在x轴上是顾问的ID.它们的范围是1000到2000.每个顾问都有特定数量的客户(y轴).

I want to plot a bar chart. On the x-axis are IDs of consultants. They range between 1000 and 2000. Each consultant has a specific number of customers (y-axis).

现在，我想在图中绘制条形图.但是，按计划将顾问ID升序排列，并将其解释为整数，但不是.它们的排序应与我密谋列出的列表相同.

Now I want to plot a bar chart in plotly. But plotly orders the consultant IDs ascending and interprets them as integer, but they are not. They shall be ordered like the list I give plotly.

在matplotlib中，顺序是正确的.

By the way in matplotlib the order is right.

trace1 = go.Bar(
    x=consultants, 
    y=info[0,:]
)
trace2 = go.Bar(
    x=consultants,
    y=info[1,:],
)
trace3 = go.Bar(
    x=consultants,
    y=info[2,:]
)
trace4 = go.Bar(
   x=consultants,
   y=info[3,:]
)

data = [trace1, trace2, trace3, trace4]
layout = go.Layout(
       barmode='stack',
       xaxis=dict(
       categoryorder='array',
       categoryarray=consultants,
       titlefont=dict(
         size=18,
         color='black'),
       showticklabels=True,
       tickfont=dict(
        size=16,
        color='black',
        ),
    tickangle=20
    ),
yaxis=dict(
    title='Number of customers',
       titlefont=dict(
        size=18,
        color='black'),
    showgrid=True,
    showline=False,
    showticklabels=True,
    tickfont=dict(
        size=16,
        color='black')
    ),

  )

fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='stacked-bar')

推荐答案

有趣的是，Plotly似乎忽略了categoryorder的整数，但是可以通过传递

Interestingly Plotly seems to ignore categoryorder for integers but disabling of sorting can be achieved by passing type='category in xaxis in layout.

type ( enumerated : "-" | "linear" | "log" | "date" | "category" )

默认值:-"
设置轴类型.默认情况下，有意地尝试 通过查看跟踪数据确定轴类型 引用了相关轴.

default: "-"
Sets the axis type. By default, plotly attempts to determined the axis type by looking into the data of the traces that referenced the axis in question.

import plotly
import plotly.graph_objs as go
import numpy as np

plotly.offline.init_notebook_mode()

consultants = [1, 3, 2, 5, 4]
info = np.random.randint(100, size=(5,5))

data = []
for i in range(len(info)):
    data.append(go.Bar(x=consultants, 
                       y=info[i,:]))

layout = go.Layout(barmode='stack', 
                   xaxis=dict(type='category'),
                   yaxis=dict(title='Number of customers'))

fig = go.Figure(data=data, layout=layout)
plotly.offline.iplot(fig, filename='stacked-bar')

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