我有一个 multi-index dataframe dfc，我想将其绘制为条形图，y 轴上的刻度颜色取决于 dfc.iloc[i].values[1] 的任何值 i 的值。

                                                           Unnamed: 1  claimed_benefit  perceived_benefit
My Burberry - Eau de Parfum                           je me sens bien                0           0.000000
Her Intense - Eau de Parfum                         convient bien moi                0           0.000000
Her Intense - Eau de Parfum                          sensuelle / sexy                0           0.000000
Her Intense - Eau de Parfum                                  nettoyer                0           0.000000
Her Intense - Eau de Parfum                             haute qualite                0           0.000000
...                                                               ...              ...                ...
Mr. Burberry Indigo - Eau de Toilette  nouveau / jamais respire avant                0           0.666667

为了实现这一点，我尝试通过更新布局中 ticktext 属性的 yaxis 值来实现 this answer，因为似乎 plotly 具有完整的 LaTeX 支持。

traces = []
ticks = []
colors = []
for i in range(len(dfc)):
    if dfc.iloc[i].name == my_dropdown:
        trace_claimed = go.Bar(y=[dfc.iloc[i].values[0]],x=[dfc.iloc[i].values[2]],name=dfc.iloc[i].values[0] + ' Perceived',orientation='h')

        tick = dfc.iloc[i].values[0]

        if dfc.iloc[i].values[1] > 0:
            color = 'red'
        else:
            color = 'blue'

        ticks.append(tick)
        colors.append(color)
        traces.append(trace_claimed)
            # traces.append(trace_perceived)

keys = dict(zip(ticks,colors))
ticktext = [get_color(v,k) for k,v in keys.items()]


figure = go.Figure(data=traces,layout=go.Layout(title='Score des parfums sur les attributs',barmode='stack')
                   )

figure.update_layout(
    yaxis=dict(tickmode='array',ticktext=ticktext,tickvals=ticks)
)

然而，它只会为刻度产生一个奇怪的文本：

这是 ticktext 值：

['$\\color{blue}{je me sens bien}$','$\\color{blue}{harsh / agressif}$','$\\color{blue}{boisé}$','$\\color{blue}{écœurant}$','$\\color{blue}{strength1}$',...,'$\\color{red}{frais}$','$\\color{blue}{pour le soir / nuit}$','$\\color{blue}{doux}$']

这是一个最小的可重现示例：

import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input,Output
import plotly.graph_objs as go
import pandas as pd
from os.path import abspath,dirname,join

app = Dash(__name__)


def get_color(color,text):
    s = '$\color{' + str(color) + '}{' + str(text) + '}$'
    return s


df = pd.read_csv('some_file.csv')


def layout():
    return html.Div([
        dcc.Dropdown(
            id='perfume-dropdown',options=[{'label': x,'value': x} for x in df.index.unique()],value='My Burberry - Eau de Parfum'
        ),html.Div(id='dd-output-container'),html.Div([
            dcc.Graph(id='graph-attributes')
        ])
    ])

@app.callback(
    Output(component_id='graph-attributes',component_property='figure'),[Input(component_id="perfume-dropdown",component_property="value")]
)
def update_graph(my_dropdown):
    dfc = df.sort_values(by='perceived_benefit',ascending=True)
    traces = []
    ticks = []
    colors = []
    for i in range(len(dfc)):
        if dfc.iloc[i].name == my_dropdown:
            trace_claimed = go.Bar(y=[dfc.iloc[i].values[0]],orientation='h')

            tick = dfc.iloc[i].values[0]

            if dfc.iloc[i].values[1] > 0:
                color = 'red'
            else:
                color = 'blue'

            ticks.append(tick)
            colors.append(color)
            traces.append(trace_claimed)
                # traces.append(trace_perceived)

    keys = dict(zip(ticks,colors))
    ticktext = [get_color(v,v in keys.items()]

    print(ticktext)

    figure = go.Figure(data=traces,barmode='stack')
                       )

    figure.update_layout(
        yaxis=dict(tickmode='array',tickvals=ticks)
    )

    return figure