Seaborn: Bar chart looks completely different when specifying `hue`

[desilinguist]

I was trying to make a bar chart using the hue option but I find that the bar widths are really thin and the alignment of the bars to the labels also seems off.

Here's the code I used:

with sns.axes_style('whitegrid'):
    p = sns.factorplot(data=df_overall, x='item', y='QWK', order=item_order, hue='subject', kind='bar', size=3, aspect=4, legend=False)
    p.set_xticklabels(rotation=90, fontsize=8)

However, if I just replace the hue option with the color option, all of the width and alignment problem seem to go away.

Am I doing something wrong?

[mwaskom]

Yes. hue adds an additional layer of nesting to the bars: http://stanford.edu/~mwaskom/software/seaborn/generated/seaborn.barplot.html

[desilinguist]

I see. So, there's no way to get around this issue at all then?

[mwaskom]

You have not explained what you are trying to do.

I would recommend making a reproducible example and posting to stackoverflow.

[desilinguist]

Will do. Thanks!

[alexpetralia]

@desilinguist Did you ever get this resolved on Stack Overflow?

[desilinguist]

Not really. I just decided to use subplots instead of faceting since there
didn't seem any way around it.
On Wed, Jul 13, 2016 at 1:12 PM Alex Petralia [email protected]
wrote:

@desilinguist https://github.com/desilinguist Did you ever get this
resolved on Stack Overflow?

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[alexpetralia]

Ah.. I see. Thanks for the info.

[skkirtonia]

sns.barplot(data=popular, x= "Dominant", y="Total", ax=axes[0], order=popular_order, hue="Trend", dodge=False)

I have used dodge=False and solved the problem

[yli110-stat697]

skkirtonia's way totally works for me!

[yctasoglu]

sns.barplot(data=popular, x= "Dominant", y="Total", ax=axes[0], order=popular_order, hue="Trend", dodge=False)

I have used dodge=False and solved the problem

Nice and quick solution!

[soerendip]

dodge is kind of a weird keyword don't you think? How about width instead to control the widths of the bars?

[mwaskom]

No, I don’t think it’s a weird keyword.