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Boxplot outliers in 1.4.2 #3796

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iiSeymour opened this issue Nov 14, 2014 · 6 comments
Closed

Boxplot outliers in 1.4.2 #3796

iiSeymour opened this issue Nov 14, 2014 · 6 comments

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@iiSeymour
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In to matplotlib 1.3.x the following code:

import seaborn as sns
import pandas as pd
import numpy as np

x = pd.DataFrame(np.random.lognormal(size=(100, 6)), columns=list("abcdef"))
x.boxplot(sym="k.")

Produces:

outliers

In 1.4.2 I can't get the outliers to be shown?

no outliers

[TAC edited to fix in-line version number]

@mdboom
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mdboom commented Nov 14, 2014

I suspect this is resolved by f49f47b

@WeatherGod
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I think so too. Please update to v1.4.2. The 1.4.1 release has a bad pyplot
interface and a few other bugs, particularly with respect to boxplot. Let
us know if the problem persists.

On Fri, Nov 14, 2014 at 9:28 AM, Michael Droettboom <
notifications@github.com> wrote:

I suspect this is resolved by f49f47b
f49f47b


Reply to this email directly or view it on GitHub
#3796 (comment)
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@mdboom
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mdboom commented Nov 14, 2014

v1.4.2 doesn't yet have the fix. You'll have to wait for v1.4.3 or run git master.

@iiSeymour
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Thanks for the clarification. Do you happen to know when 1.4.3 is expected to drop?

@tacaswell
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The current target is beginning of February. Have a look an the 1.4.3 milestone.

Please see mwaskom/seaborn#344 for softer work-arounds.

#3687/#3699 are were this got fixed.

@tacaswell
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Closing as a duplicate, please re-open if 1.4.x or master branch still show this.

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4 participants