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jseabold

opened on Oct 23, 2013

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It's stated in the documentation, but I find this behavior to be rather wart-y, and it led to some bugs in statsmodels. Why treat x array different from x sequence of lists?

For an array it iterates over the first axis

import numpy as np
import matplotlib.pyplot as plt

x = np.random.normal(size=(2,1000))
fig, ax = plt.subplots()

ax.boxplot(x.T)

for lists it iterates over the zero axis

fig, ax = plt.subplots()
ax.boxplot([x[0,:],x[1,:]])

Why the distinction? I'd expect them to be the same (i.e., the list gets an np.asarray call) and it seems inconsistent that they're not.

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1. efiring commented on Oct 27, 2013

   

   efiring

   on Oct 27, 2013

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   From the general mpl and python standpoints, I agree entirely with @jseabold. It is unfortunate that this aspect of the signature is present; the question is what, if anything, to do about it now.
2. tacaswell commented on Jan 22, 2014

   

   tacaswell

   on Jan 22, 2014

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   @jseabold Have you seen PR #2643 to overhaul boxplot by @phobson?
3. tacaswell

   added this to the This milestone has been deleted milestone on Aug 17, 2014
4. tacaswell commented on Aug 17, 2014

   

   tacaswell

   on Aug 17, 2014

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   This might have to get punted to 2.0
5. story645

   added

   third-party integration

   on Jun 1, 2016
6. tacaswell

   modified the milestones: This milestone has been deleted, This milestone has been deleted on Oct 3, 2017
7. anntzer commented on Oct 19, 2017

   

   anntzer

   on Oct 19, 2017

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   I think most of the discussion is in #8092 now.
8. anntzer

   closed this as completedon Oct 19, 2017
9. anntzer

   added

   status: duplicate

   on Oct 19, 2017
10. QuLogic

    modified the milestones: This milestone has been deleted, v2.2.0 on Feb 12, 2018

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