how to align ticks with ggrid?

[syd-doyen]

Hi,

I'm trying something really simple. Use ggrid to plot two graphs in one column and use sharedx = True so that the grids of the plots match.
There is an example in the documentation using two histograms.
In my use case, I have plot featuring a geom_bar and the bottom plot using a geom_point .

Is this the expected behaviour?

I have tried using expand on the x discrete axis but I have not had much luck.

Below is my example code:

Thanks!

import pandas as pd
import lets_plot as lp
from lets_plot.mapping import as_discrete

lp.LetsPlot.setup_html()

df_female = pd.DataFrame(data={'Industry': ['Construction', 'Mining', 'National',
                                                 'Construction', 'Mining', 'National',
                                                 'Construction', 'Mining', 'National'],
                                                 'Category': ['Female', 'Female', 'Female',
                                                 'Female Manager', 'Female Manager', 'Female Manager',
                                                 'Diff', 'Diff', 'Diff'],
                                    'Proportion': [26.0,  22.0, 51.2, 18.9, 22.9, 42.0, 7.1, 0.9, 9.2]})
theme_blank_xaxis = lp.theme(axis_title_x=lp.element_blank(),
                             axis_text_x=lp.element_blank(),
                             axis_ticks_x=lp.element_blank())

ordered_industry = as_discrete('Industry', order=-1)
p3a = (lp.ggplot(df_female[df_female.Category == 'Female'], lp.aes(weight='Proportion',
                                                                             x=ordered_industry, fill='Category')) +
    lp.geom_bar(lp.aes(fill='Category'),
            labels=lp.layer_labels().line('@..count..').format(field='@..count..',format=".0f").size(15), alpha=0.7) +
    lp.labs(title=' Proportion by industry, 2023)',
              x='', y='Female Proportion (%)', fill='') +
    lp.scale_fill_manual(values=['#FFC300'], name='',
                           breaks=['Female_p'], labels=['% Women']) +
    #lp.scale_x_discrete(expand=[0.0,0.2]) +
    lp.theme_bw() + lp.theme(legend_position="top") + theme_blank_xaxis)

p3b = (lp.ggplot(df_female[df_female.Category == 'Diff'], lp.aes(y='Proportion',
                                                                             x=ordered_industry)) +
#       lp.scale_x_discrete(expand=[0.05,0.8]) +
    lp.geom_point() + lp.geom_line() + lp.theme_bw())

p3c = lp.gggrid([p3a,p3b], ncol = 1, sharex=True, heights=[3,2])

p3c.show()

[alshan]

Hi,
First of all you'll need to add parameter align=True to gggrid()

However, at the moment sharex option doesn't work with discrete scales.
But, you can still align x-scales in your example by adding expands to the line-plot's x-scale:

 ... + scale_x_discrete(expand=[0.0, 0.2 + 0.95/2])

[alshan]

Submitted an issue: #1015

[syd-doyen]

Thanks for the workaround!