Formatting a date axis

Dash Python
1

If I have 15 subplots on a chart id there an easy way to format all of them the same way rather than doing this:
fig[‘layout’].update(xaxis1= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis2= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis3= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis4= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis5= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis6= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis7= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis8= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis9= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis10= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis11= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis12= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis13= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis14= {‘tickformat’: ‘%m/%y’})
fig[‘layout’].update(xaxis15= {‘tickformat’: ‘%m/%y’})

2

I also want to be able to set the range for all axes in one line of code if that is possible. Thanks!

3

These objects are just dictionaries, so you can modify them using idiomatic python like:

for key in fig['layout']:
   if 'axis' in key:
       fig['layout'][key]['tickformat'] = '/%m/%y'
2 Likes
4

Thanks Chris. Is there an easy way to see what attributes I can modify for the figure object? Do I just go to the plotly documentation?

5

Yup - Plotly Python Graphing Library has examples and Single-page reference in Python has all of the available attributes. You can also use the interactive editor in Online Graph Maker · Plotly Chart Studio (see the JSON panel)