Multilevel Axes Labels with plotly : how to turn the label

[Marc_L]

Hello,

I have not found a solution to turn the X label

code :

item = ‘RS0753’

df = df_group_by_feeder_slot[df_group_by_feeder_slot[‘Name_Items’] == ‘RS0753’]

fig = go.Figure()
for feeder in df[‘Identifier_MaterialCarriers’].unique():
for slot in df[(df[‘Identifier_MaterialCarriers’] == feeder)][‘Slot_MaterialCarriers’].unique():
fig.add_trace(go.Bar(
x = [df[(df[‘Identifier_MaterialCarriers’] == feeder) & (df[‘Slot_MaterialCarriers’] == slot)][‘Identifier_MaterialCarriers’], df[(df[‘Identifier_MaterialCarriers’] == feeder) & (df[‘Slot_MaterialCarriers’] == slot)][‘Slot_MaterialCarriers’]],
y = df[(df[‘Identifier_MaterialCarriers’] == feeder) & (df[‘Slot_MaterialCarriers’] == slot)][‘ratio_sum_total_error’],
name = feeder + ’ ’ + slot,))
fig.update_layout(title_text=“Multi-category axis”)

fig.update_layout(
title=‘ratio by feeder and slot’ + ’ ’ + 'item ’ + item,
xaxis_title=“feeder _ slot”,
xaxis_dtick= 1,
xaxis_tickangle=90,
yaxis_title=“ratio_sum_total_error”,
yaxis_dtick= 0.1,
font=dict(size=10,))
fig.update_layout(
autosize=False,
width=1000,
height=500)
fig.update(layout_showlegend=False)
fig.update_layout(bargap= 0.2)

fig.show()

[farispriadi]

Hi @Marc_L ,

Welcome to the forum!

have you tried setting autotickangles ?
Suppose you want to turn the tick 45 degree clockwise.

fig.update_xaxes(autotickangles=[-45])

docs :

Layout.xaxis

[Marc_L]

@farispriadi

fig.update_xaxes(autotickangles=[-45])

hello,

I tried to use it in dash app.
that return a error see picture.

[farispriadi]

Hi @Marc_L ,

I think you need to upgrade the version at least version 5.19 to use this attribute .

Add autotickangles property

Hope this help.

[Marc_L]

Hello,

I have tried with
plotly 5.24.1
Same result.

I will dig on it, could be dash version.

Thanks again