I have a dataframe dfc which I want to plot as a bar chart with the color of the tick on the yaxis depending on the value of dfc.iloc[i].values[1] for any value i.
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
In order to achieve that I tried this answer by updating the ticktext value of the yaxis property in the layout, as it seems that plotly has full LaTeX support.
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)
)
However it only produces a weird text for the ticks:
Here is the ticktext value:
['$\\color{blue}{je me sens bien}$', '$\\color{blue}{harsh / agressif}$', '$\\color{blue}{boisé}$', '$\\color{blue}{écœurant}$', '$\\color{blue}{strength1}$', ..., '$\\color{red}{frais}$', '$\\color{blue}{pour le soir / nuit}$', '$\\color{blue}{doux}$']
Here is a minimal reproducible example:
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]], 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()]
print(ticktext)
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)
)
return figure
