From c6d0d00eb7112edae2b5a3587afc8d0b34d7a8ea Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Wed, 28 Oct 2015 17:49:58 -0700
Subject: [PATCH 01/15] BUG: make the switch to range only if requested

---
 lib/matplotlib/cbook.py | 17 +++++++++--------
 1 file changed, 9 insertions(+), 8 deletions(-)

diff --git a/lib/matplotlib/cbook.py b/lib/matplotlib/cbook.py
index f122e975c80..f3714aae40d 100644
--- a/lib/matplotlib/cbook.py
+++ b/lib/matplotlib/cbook.py
@@ -1760,13 +1760,14 @@ def delete_masked_points(*args):
     return margs
 
 
-def boxplot_stats(X, whis=1.5, bootstrap=None, labels=None):
-    '''
-    Returns list of dictionaries of staticists to be use to draw a series of
-    box and whisker plots. See the `Returns` section below to the required
-    keys of the dictionary. Users can skip this function and pass a user-
-    defined set of dictionaries to the new `axes.bxp` method instead of
-    relying on MPL to do the calcs.
+def boxplot_stats(X, whis=1.5, autorange=False, bootstrap=None,
+                  labels=None):
+    """
+    Returns list of dictionaries of staticists to be use to draw a
+    series of box and whisker plots. See the `Returns` section below to
+    the required keys of the dictionary. Users can skip this function
+    and pass a user-defined set of dictionaries to the new `axes.bxp`
+    method instead of relying on MPL to do the calcs.
 
     Parameters
     ----------
@@ -1908,7 +1909,7 @@ def _compute_conf_interval(data, med, iqr, bootstrap):
 
         # interquartile range
         stats['iqr'] = q3 - q1
-        if stats['iqr'] == 0:
+        if stats['iqr'] == 0 and autorange:
             whis = 'range'
 
         # conf. interval around median

From 24ca9156b40fd3ffc66bb4d94b7a02634892ffc6 Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Wed, 28 Oct 2015 17:50:38 -0700
Subject: [PATCH 02/15] DOC: update cbook docstring with new autoremove option

---
 lib/matplotlib/cbook.py | 60 +++++++++++++++++++++++++------------------------
 1 file changed, 31 insertions(+), 29 deletions(-)

diff --git a/lib/matplotlib/cbook.py b/lib/matplotlib/cbook.py
index f3714aae40d..6e6e0b206e1 100644
--- a/lib/matplotlib/cbook.py
+++ b/lib/matplotlib/cbook.py
@@ -1763,37 +1763,39 @@ def delete_masked_points(*args):
 def boxplot_stats(X, whis=1.5, autorange=False, bootstrap=None,
                   labels=None):
     """
-    Returns list of dictionaries of staticists to be use to draw a
-    series of box and whisker plots. See the `Returns` section below to
-    the required keys of the dictionary. Users can skip this function
-    and pass a user-defined set of dictionaries to the new `axes.bxp`
-    method instead of relying on MPL to do the calcs.
+    Returns list of dictionaries of statistics used to draw a series
+    of box and whisker plots. See the `Returns` section below to the
+    required keys of the dictionary. Users can skip this function and
+    pass a user-defined set of dictionaries to the new `axes.bxp` method
+    instead of relying on MPL to do the calculations.
 
     Parameters
     ----------
     X : array-like
-        Data that will be represented in the boxplots. Should have 2 or fewer
-        dimensions.
-
+        Data that will be represented in the boxplots. Should have 2 or
+        fewer dimensions.
     whis : float, string, or sequence (default = 1.5)
-        As a float, determines the reach of the whiskers past the first and
-        third quartiles (e.g., Q3 + whis*IQR, QR = interquartile range, Q3-Q1).
-        Beyond the whiskers, data are considered outliers and are plotted as
-        individual points. Set this to an unreasonably high value to force the
-        whiskers to show the min and max data. Alternatively, set this to an
-        ascending sequence of percentile (e.g., [5, 95]) to set the whiskers
-        at specific percentiles of the data. Finally, can  `whis` be the
-        string 'range' to force the whiskers to the min and max of the data.
-        In the edge case that the 25th and 75th percentiles are equivalent,
-        `whis` will be automatically set to 'range'
-
-    bootstrap : int or None (default)
-        Number of times the confidence intervals around the median should
-        be bootstrapped (percentile method).
-
-    labels : sequence
-        Labels for each dataset. Length must be compatible with dimensions
-        of `X`
+        As a float, determines the reach of the whiskers past the first
+        and third quartiles (e.g., Q3 + whis*IQR, QR = interquartile
+        range, Q3-Q1). Beyond the whiskers, data are considered outliers
+        and are plotted as individual points. This can be set this to an
+        ascending sequence of percentile (e.g., [5, 95]) to set the
+        whiskers at specific percentiles of the data. Finally, `whis`
+        can be the string ``'range'`` to force the whiskers to the
+        minimum and maximum of the data. In the edge case that the 25th
+        and 75th percentiles are equivalent, `whis` can be automatically
+        set to ``'range'`` via the `autorange` option.
+    autorange : bool, optional (False)
+        When `True` and the data are distributed such that the  25th and
+        75th percentiles are equal, ``whis`` is set to ``'range'`` such
+        that the whisker ends are at the minimum and maximum of the
+        data.
+    bootstrap : int, optional
+        Number of times the confidence intervals around the median
+        should be bootstrapped (percentile method).
+    labels : array-like, optional
+        Labels for each dataset. Length must be compatible with
+        dimensions of `X`.
 
     Returns
     -------
@@ -1818,8 +1820,8 @@ def boxplot_stats(X, whis=1.5, autorange=False, bootstrap=None,
 
     Notes
     -----
-    Non-bootstrapping approach to confidence interval uses Gaussian-based
-    asymptotic approximation:
+    Non-bootstrapping approach to confidence interval uses Gaussian-
+    based asymptotic approximation:
 
     .. math::
 
@@ -1829,7 +1831,7 @@ def boxplot_stats(X, whis=1.5, autorange=False, bootstrap=None,
     McGill, R., Tukey, J.W., and Larsen, W.A. (1978) "Variations of
     Boxplots", The American Statistician, 32:12-16.
 
-    '''
+    """
 
     def _bootstrap_median(data, N=5000):
         # determine 95% confidence intervals of the median

From 8d4f5115cc43e75cc39504849edf77fb58473494 Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Wed, 28 Oct 2015 20:47:28 -0700
Subject: [PATCH 03/15] TST: new baseline images for non-autoranged boxplots

---
 .../test_axes/boxplot_autorange_whiskers.pdf       | Bin 4809 -> 4903 bytes
 .../test_axes/boxplot_autorange_whiskers.svg       | 177 ++++++++++++++++++++-
 2 files changed, 174 insertions(+), 3 deletions(-)

diff --git a/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_whiskers.pdf b/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_whiskers.pdf
index 933a067b2d06dde01c8e096bf08e4887318fcf32..e6bc5bba4911e7dbb3e2e7e9916d9bc096027ea3 100644
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diff --git a/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_whiskers.svg b/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_whiskers.svg
index 6e3a395ea6e..f958b0bc192 100644
--- a/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_whiskers.svg
+++ b/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_whiskers.svg
@@ -5,7 +5,7 @@
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-*{stroke-linecap:butt;stroke-linejoin:round;}
+*{stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:100000;}
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  <g id="figure_1">
@@ -27,7 +27,11 @@ z
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    <g id="line2d_1">
+<<<<<<< HEAD
     <path clip-path="url(#pc653b2bace)" d="M 166.86 181.44 
+=======
+    <path clip-path="url(#pd5f0fe065a)" d="M 166.86 181.44 
+>>>>>>> TST: new baseline images for non-autoranged boxplots
 L 200.34 181.44 
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@@ -41,6 +45,7 @@ L 166.86 181.44
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+=======
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+   </g>
+   <g id="line2d_3">
+    <path clip-path="url(#pd5f0fe065a)" d="M 183.6 181.44 
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+   </g>
+   <g id="line2d_4">
+    <path clip-path="url(#pd5f0fe065a)" d="M 175.23 181.44 
+L 191.97 181.44 
+" style="fill:none;stroke:#000000;stroke-linecap:square;"/>
+   </g>
+   <g id="line2d_5">
+    <path clip-path="url(#pd5f0fe065a)" d="M 175.23 181.44 
+L 191.97 181.44 
+" style="fill:none;stroke:#000000;stroke-linecap:square;"/>
+   </g>
+   <g id="line2d_6">
+    <path clip-path="url(#pd5f0fe065a)" d="M 175.23 181.44 
+L 191.97 181.44 
+" style="fill:none;stroke:#ff0000;stroke-linecap:square;"/>
+   </g>
+   <g id="line2d_7">
+    <defs>
+     <path d="M -3 0 
+L 3 0 
+M 0 3 
+L 0 -3 
+" id="m85caf736fe" style="stroke:#000000;stroke-width:0.5;"/>
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+    <g clip-path="url(#pd5f0fe065a)">
+     <use style="fill:#0000ff;stroke:#000000;stroke-width:0.5;" x="183.6" xlink:href="#m85caf736fe" y="216.0"/>
+     <use style="fill:#0000ff;stroke:#000000;stroke-width:0.5;" x="183.6" xlink:href="#m85caf736fe" y="146.88"/>
+    </g>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
    </g>
-   <g id="line2d_7"/>
    <g id="line2d_8">
+<<<<<<< HEAD
     <path clip-path="url(#pc653b2bace)" d="M 390.06 181.44 
+=======
+    <path clip-path="url(#pd5f0fe065a)" d="M 390.06 181.44 
+>>>>>>> TST: new baseline images for non-autoranged boxplots
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+     <use style="fill:#0000ff;stroke:#000000;stroke-width:0.5;" x="406.8" xlink:href="#m85caf736fe" y="146.88"/>
+    </g>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
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    <g id="patch_3">
+<<<<<<< HEAD
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+    <path d="M 518.4 388.8 
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+   <g id="patch_4">
+    <path d="M 72 388.8 
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+<<<<<<< HEAD
 " id="md896a425d7" style="stroke:#000000;stroke-width:0.500000;"/>
       </defs>
       <g>
        <use style="stroke:#000000;stroke-width:0.500000;" x="183.6" xlink:href="#md896a425d7" y="388.8"/>
+=======
+" id="m9412c4578c" style="stroke:#000000;stroke-width:0.5;"/>
+      </defs>
+      <g>
+       <use style="stroke:#000000;stroke-width:0.5;" x="183.6" xlink:href="#m9412c4578c" y="388.8"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="line2d_16">
       <defs>
        <path d="M 0 0 
 L 0 4 
+<<<<<<< HEAD
 " id="me12a3a8566" style="stroke:#000000;stroke-width:0.500000;"/>
       </defs>
       <g>
        <use style="stroke:#000000;stroke-width:0.500000;" x="183.6" xlink:href="#me12a3a8566" y="43.2"/>
+=======
+" id="m99f775e861" style="stroke:#000000;stroke-width:0.5;"/>
+      </defs>
+      <g>
+       <use style="stroke:#000000;stroke-width:0.5;" x="183.6" xlink:href="#m99f775e861" y="43.2"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="text_1">
@@ -173,12 +274,20 @@ z
     <g id="xtick_2">
      <g id="line2d_17">
       <g>
+<<<<<<< HEAD
        <use style="stroke:#000000;stroke-width:0.500000;" x="406.8" xlink:href="#md896a425d7" y="388.8"/>
+=======
+       <use style="stroke:#000000;stroke-width:0.5;" x="406.8" xlink:href="#m9412c4578c" y="388.8"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="line2d_18">
       <g>
+<<<<<<< HEAD
        <use style="stroke:#000000;stroke-width:0.500000;" x="406.8" xlink:href="#me12a3a8566" y="43.2"/>
+=======
+       <use style="stroke:#000000;stroke-width:0.5;" x="406.8" xlink:href="#m99f775e861" y="43.2"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="text_2">
@@ -206,7 +315,11 @@ Q 53.21875 48.921875 51.53125 44.890625
 Q 49.859375 40.875 45.40625 35.40625 
 Q 44.1875 33.984375 37.640625 27.21875 
 Q 31.109375 20.453125 19.1875 8.296875 
+<<<<<<< HEAD
 " id="DejaVuSans-32"/>
+=======
+" id="BitstreamVeraSans-Roman-32"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </defs>
       <g transform="translate(402.982500 401.918125)scale(0.120000 -0.120000)">
        <use xlink:href="#DejaVuSans-32"/>
@@ -220,20 +333,34 @@ Q 31.109375 20.453125 19.1875 8.296875
       <defs>
        <path d="M 0 0 
 L 4 0 
+<<<<<<< HEAD
 " id="m57755297b5" style="stroke:#000000;stroke-width:0.500000;"/>
       </defs>
       <g>
        <use style="stroke:#000000;stroke-width:0.500000;" x="72.0" xlink:href="#m57755297b5" y="354.24"/>
+=======
+" id="md2bdd89ecf" style="stroke:#000000;stroke-width:0.5;"/>
+      </defs>
+      <g>
+       <use style="stroke:#000000;stroke-width:0.5;" x="72.0" xlink:href="#md2bdd89ecf" y="354.24"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="line2d_20">
       <defs>
        <path d="M 0 0 
 L -4 0 
+<<<<<<< HEAD
 " id="mb7f6c3044e" style="stroke:#000000;stroke-width:0.500000;"/>
       </defs>
       <g>
        <use style="stroke:#000000;stroke-width:0.500000;" x="518.4" xlink:href="#mb7f6c3044e" y="354.24"/>
+=======
+" id="mbc0df95c53" style="stroke:#000000;stroke-width:0.5;"/>
+      </defs>
+      <g>
+       <use style="stroke:#000000;stroke-width:0.5;" x="518.4" xlink:href="#mbc0df95c53" y="354.24"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="text_3">
@@ -244,7 +371,11 @@ L 73.1875 35.5
 L 73.1875 27.203125 
 L 10.59375 27.203125 
 z
+<<<<<<< HEAD
 " id="DejaVuSans-2212"/>
+=======
+" id="BitstreamVeraSans-Roman-2212"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
        <path d="M 37.796875 64.3125 
 L 12.890625 25.390625 
 L 37.796875 25.390625 
@@ -272,12 +403,20 @@ z
     <g id="ytick_2">
      <g id="line2d_21">
       <g>
+<<<<<<< HEAD
        <use style="stroke:#000000;stroke-width:0.500000;" x="72.0" xlink:href="#m57755297b5" y="285.12"/>
+=======
+       <use style="stroke:#000000;stroke-width:0.5;" x="72.0" xlink:href="#md2bdd89ecf" y="285.12"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="line2d_22">
       <g>
+<<<<<<< HEAD
        <use style="stroke:#000000;stroke-width:0.500000;" x="518.4" xlink:href="#mb7f6c3044e" y="285.12"/>
+=======
+       <use style="stroke:#000000;stroke-width:0.5;" x="518.4" xlink:href="#mbc0df95c53" y="285.12"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="text_4">
@@ -291,12 +430,20 @@ z
     <g id="ytick_3">
      <g id="line2d_23">
       <g>
+<<<<<<< HEAD
        <use style="stroke:#000000;stroke-width:0.500000;" x="72.0" xlink:href="#m57755297b5" y="216.0"/>
+=======
+       <use style="stroke:#000000;stroke-width:0.5;" x="72.0" xlink:href="#md2bdd89ecf" y="216.0"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="line2d_24">
       <g>
+<<<<<<< HEAD
        <use style="stroke:#000000;stroke-width:0.500000;" x="518.4" xlink:href="#mb7f6c3044e" y="216.0"/>
+=======
+       <use style="stroke:#000000;stroke-width:0.5;" x="518.4" xlink:href="#mbc0df95c53" y="216.0"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="text_5">
@@ -320,7 +467,11 @@ Q 19.53125 -1.421875 13.0625 8.265625
 Q 6.59375 17.96875 6.59375 36.375 
 Q 6.59375 54.828125 13.0625 64.515625 
 Q 19.53125 74.21875 31.78125 74.21875 
+<<<<<<< HEAD
 " id="DejaVuSans-30"/>
+=======
+" id="BitstreamVeraSans-Roman-30"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </defs>
       <g transform="translate(60.365000 219.311250)scale(0.120000 -0.120000)">
        <use xlink:href="#DejaVuSans-30"/>
@@ -330,12 +481,20 @@ Q 19.53125 74.21875 31.78125 74.21875
     <g id="ytick_4">
      <g id="line2d_25">
       <g>
+<<<<<<< HEAD
        <use style="stroke:#000000;stroke-width:0.500000;" x="72.0" xlink:href="#m57755297b5" y="146.88"/>
+=======
+       <use style="stroke:#000000;stroke-width:0.5;" x="72.0" xlink:href="#md2bdd89ecf" y="146.88"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="line2d_26">
       <g>
+<<<<<<< HEAD
        <use style="stroke:#000000;stroke-width:0.500000;" x="518.4" xlink:href="#mb7f6c3044e" y="146.88"/>
+=======
+       <use style="stroke:#000000;stroke-width:0.5;" x="518.4" xlink:href="#mbc0df95c53" y="146.88"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="text_6">
@@ -348,12 +507,20 @@ Q 19.53125 74.21875 31.78125 74.21875
     <g id="ytick_5">
      <g id="line2d_27">
       <g>
+<<<<<<< HEAD
        <use style="stroke:#000000;stroke-width:0.500000;" x="72.0" xlink:href="#m57755297b5" y="77.76"/>
+=======
+       <use style="stroke:#000000;stroke-width:0.5;" x="72.0" xlink:href="#md2bdd89ecf" y="77.76"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="line2d_28">
       <g>
+<<<<<<< HEAD
        <use style="stroke:#000000;stroke-width:0.500000;" x="518.4" xlink:href="#mb7f6c3044e" y="77.76"/>
+=======
+       <use style="stroke:#000000;stroke-width:0.5;" x="518.4" xlink:href="#mbc0df95c53" y="77.76"/>
+>>>>>>> TST: new baseline images for non-autoranged boxplots
       </g>
      </g>
      <g id="text_7">
@@ -367,7 +534,11 @@ Q 19.53125 74.21875 31.78125 74.21875
   </g>
  </g>
  <defs>
+<<<<<<< HEAD
   <clipPath id="pc653b2bace">
+=======
+  <clipPath id="pd5f0fe065a">
+>>>>>>> TST: new baseline images for non-autoranged boxplots
    <rect height="345.6" width="446.4" x="72.0" y="43.2"/>
   </clipPath>
  </defs>

From 4099a8804488a591f23a8a165d6710033ce9ca26 Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Wed, 28 Oct 2015 20:57:24 -0700
Subject: [PATCH 04/15] TST: rename existing autorange figures

---
 ...ge_whiskers.pdf => boxplot_autorange_false_whiskers.pdf} | Bin
 ...ge_whiskers.png => boxplot_autorange_false_whiskers.png} | Bin
 ...ge_whiskers.svg => boxplot_autorange_false_whiskers.svg} |   0
 lib/matplotlib/tests/test_axes.py                           |   2 +-
 4 files changed, 1 insertion(+), 1 deletion(-)
 rename lib/matplotlib/tests/baseline_images/test_axes/{boxplot_autorange_whiskers.pdf => boxplot_autorange_false_whiskers.pdf} (100%)
 rename lib/matplotlib/tests/baseline_images/test_axes/{boxplot_autorange_whiskers.png => boxplot_autorange_false_whiskers.png} (100%)
 rename lib/matplotlib/tests/baseline_images/test_axes/{boxplot_autorange_whiskers.svg => boxplot_autorange_false_whiskers.svg} (100%)

diff --git a/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_whiskers.pdf b/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_false_whiskers.pdf
similarity index 100%
rename from lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_whiskers.pdf
rename to lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_false_whiskers.pdf
diff --git a/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_whiskers.png b/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_false_whiskers.png
similarity index 100%
rename from lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_whiskers.png
rename to lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_false_whiskers.png
diff --git a/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_whiskers.svg b/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_false_whiskers.svg
similarity index 100%
rename from lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_whiskers.svg
rename to lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_false_whiskers.svg
diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
index df0e48e0cef..615f355915c 100644
--- a/lib/matplotlib/tests/test_axes.py
+++ b/lib/matplotlib/tests/test_axes.py
@@ -1785,7 +1785,7 @@ def test_boxplot_sym():
     ax.set_ylim((-30, 30))
 
 
-@image_comparison(baseline_images=['boxplot_autorange_whiskers'])
+@image_comparison(baseline_images=['boxplot_autorange_false_whiskers'])
 def test_boxplot_autorange_whiskers():
     x = np.ones(140)
     x = np.hstack([0, x, 2])

From 4ef90dd415ea2619aa0127b13924d109793591e5 Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Wed, 28 Oct 2015 21:40:25 -0700
Subject: [PATCH 05/15] TST: autorange tests for boxplot_stats

---
 lib/matplotlib/tests/test_cbook.py | 14 ++++++++++++++
 1 file changed, 14 insertions(+)

diff --git a/lib/matplotlib/tests/test_cbook.py b/lib/matplotlib/tests/test_cbook.py
index b7d2e62f1aa..1172fcb31c4 100644
--- a/lib/matplotlib/tests/test_cbook.py
+++ b/lib/matplotlib/tests/test_cbook.py
@@ -265,6 +265,20 @@ def test_bad_dims(self):
         data = np.random.normal(size=(34, 34, 34))
         results = cbook.boxplot_stats(data)
 
+    def test_boxplot_stats_autorange_false(self):
+        x = np.zeros(shape=140)
+        x = np.hstack([-25, x, 25])
+        bstats_false = cbook.boxplot_stats(x, autorange=False)
+        bstats_true = cbook.boxplot_stats(x, autorange=True)
+        
+        assert_equal(bstats_false[0]['whislo'], 0)
+        assert_equal(bstats_false[0]['whishi'], 0)
+        assert_array_almost_equal(bstats_false[0]['fliers'], [-25, 25])
+
+        assert_equal(bstats_true[0]['whislo'], -25)
+        assert_equal(bstats_true[0]['whishi'], 25)
+        assert_array_almost_equal(bstats_true[0]['fliers'], [])
+
 
 class Test_callback_registry(object):
     def setup(self):

From 39a4784397c9735186df785b06652ca27ed49098 Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Wed, 28 Oct 2015 22:06:04 -0700
Subject: [PATCH 06/15] ENH: propagate autorange to boxplot

---
 lib/matplotlib/axes/_axes.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index f923c8ca0fe..5d80da3b543 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -3052,7 +3052,8 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
                 meanline=None, showmeans=None, showcaps=None,
                 showbox=None, showfliers=None, boxprops=None, labels=None,
                 flierprops=None, medianprops=None, meanprops=None,
-                capprops=None, whiskerprops=None, manage_xticks=True):
+                capprops=None, whiskerprops=None, manage_xticks=True,
+                autorange=False):
         """
         Make a box and whisker plot.
 
@@ -3216,7 +3217,7 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
         if bootstrap is None:
             bootstrap = rcParams['boxplot.bootstrap']
         bxpstats = cbook.boxplot_stats(x, whis=whis, bootstrap=bootstrap,
-                                       labels=labels)
+                                       labels=labels, autorange=autorange)
         if notch is None:
             notch = rcParams['boxplot.notch']
         if vert is None:

From ee74cb81ffa46c5296b85e7134bfec0f22494a16 Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Wed, 28 Oct 2015 22:07:10 -0700
Subject: [PATCH 07/15] TST: tests and images autorange boxplots

---
 .../test_axes/boxplot_autorange_true_whiskers.pdf  | Bin 0 -> 4861 bytes
 .../test_axes/boxplot_autorange_true_whiskers.png  | Bin 0 -> 6890 bytes
 .../test_axes/boxplot_autorange_true_whiskers.svg  | 374 +++++++++++++++++++++
 lib/matplotlib/tests/test_axes.py                  |  15 +-
 4 files changed, 384 insertions(+), 5 deletions(-)
 create mode 100644 lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_true_whiskers.pdf
 create mode 100644 lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_true_whiskers.png
 create mode 100644 lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_true_whiskers.svg

diff --git a/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_true_whiskers.pdf b/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_true_whiskers.pdf
new file mode 100644
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+ <defs>
+  <clipPath id="pc5ca5c9ee2">
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diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
index 615f355915c..a7b87c150d3 100644
--- a/lib/matplotlib/tests/test_axes.py
+++ b/lib/matplotlib/tests/test_axes.py
@@ -1785,14 +1785,19 @@ def test_boxplot_sym():
     ax.set_ylim((-30, 30))
 
 
-@image_comparison(baseline_images=['boxplot_autorange_false_whiskers'])
+@image_comparison(baseline_images=['boxplot_autorange_false_whiskers',
+                                   'boxplot_autorange_true_whiskers'])
 def test_boxplot_autorange_whiskers():
     x = np.ones(140)
     x = np.hstack([0, x, 2])
-    fig, ax = plt.subplots()
-
-    ax.boxplot([x, x], bootstrap=10000, notch=1)
-    ax.set_ylim((-5, 5))
+    
+    fig1, ax1 = plt.subplots()
+    ax1.boxplot([x, x], bootstrap=10000, notch=1)
+    ax1.set_ylim((-5, 5))
+    
+    fig2, ax2 = plt.subplots()
+    ax2.boxplot([x, x], bootstrap=10000, notch=1, autorange=True)
+    ax2.set_ylim((-5, 5))
 
 def _rc_test_bxp_helper(ax, rc_dict):
     x = np.linspace(-7, 7, 140)

From 7d125cf8b3c8eec849140b0a26baf1c7b4cca0a9 Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Wed, 28 Oct 2015 23:10:36 -0700
Subject: [PATCH 08/15] DOC: updated boxplot docstring

---
 lib/matplotlib/axes/_axes.py | 221 ++++++++++++++++++++-----------------------
 1 file changed, 104 insertions(+), 117 deletions(-)

diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 5d80da3b543..596fbfcfa03 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -3050,10 +3050,10 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
                 positions=None, widths=None, patch_artist=None,
                 bootstrap=None, usermedians=None, conf_intervals=None,
                 meanline=None, showmeans=None, showcaps=None,
-                showbox=None, showfliers=None, boxprops=None, labels=None,
-                flierprops=None, medianprops=None, meanprops=None,
-                capprops=None, whiskerprops=None, manage_xticks=True,
-                autorange=False):
+                showbox=None, showfliers=None, boxprops=None,
+                labels=None, flierprops=None, medianprops=None,
+                meanprops=None, capprops=None, whiskerprops=None,
+                manage_xticks=True, autorange=False):
         """
         Make a box and whisker plot.
 
@@ -3063,9 +3063,10 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
                   positions=None, widths=None, patch_artist=False,
                   bootstrap=None, usermedians=None, conf_intervals=None,
                   meanline=False, showmeans=False, showcaps=True,
-                  showbox=True, showfliers=True, boxprops=None, labels=None,
-                  flierprops=None, medianprops=None, meanprops=None,
-                  capprops=None, whiskerprops=None, manage_xticks=True):
+                  showbox=True, showfliers=True, boxprops=None,
+                  labels=None, flierprops=None, medianprops=None,
+                  meanprops=None, capprops=None, whiskerprops=None,
+                  manage_xticks=True, autorange=False):
 
         Make a box and whisker plot for each column of *x* or each
         vector in sequence *x*.  The box extends from the lower to
@@ -3076,119 +3077,104 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
         Parameters
         ----------
         x : Array or a sequence of vectors.
-           The input data.
-
-        notch : bool, default = False
-           If False, produces a rectangular box plot.
-           If True, will produce a notched box plot
-
-        sym : str or None, default = None
-           The default symbol for flier points.
-           Enter an empty string ('') if you don't want to show fliers.
-           If `None`, then the fliers default to 'b+'  If you want more
-           control use the flierprops kwarg.
-
-        vert : bool, default = True
-           If True (default), makes the boxes vertical.
-           If False, makes horizontal boxes.
-
-        whis : float, sequence (default = 1.5) or string
-           As a float, determines the reach of the whiskers past the first
-           and third quartiles (e.g., Q3 + whis*IQR, IQR = interquartile
-           range, Q3-Q1). Beyond the whiskers, data are considered outliers
-           and are plotted as individual points. Set this to an unreasonably
-           high value to force the whiskers to show the min and max values.
-           Alternatively, set this to an ascending sequence of percentile
-           (e.g., [5, 95]) to set the whiskers at specific percentiles of
-           the data. Finally, *whis* can be the string 'range' to force the
-           whiskers to the min and max of the data. In the edge case that
-           the 25th and 75th percentiles are equivalent, *whis* will be
-           automatically set to 'range'.
-
-        bootstrap : None (default) or integer
-           Specifies whether to bootstrap the confidence intervals
-           around the median for notched boxplots. If bootstrap==None,
-           no bootstrapping is performed, and notches are calculated
-           using a Gaussian-based asymptotic approximation  (see McGill, R.,
-           Tukey, J.W., and Larsen, W.A., 1978, and Kendall and Stuart,
-           1967). Otherwise, bootstrap specifies the number of times to
-           bootstrap the median to determine it's 95% confidence intervals.
-           Values between 1000 and 10000 are recommended.
-
-        usermedians : array-like or None (default)
-           An array or sequence whose first dimension (or length) is
-           compatible with *x*. This overrides the medians computed by
-           matplotlib for each element of *usermedians* that is not None.
-           When an element of *usermedians* == None, the median will be
-           computed by matplotlib as normal.
-
-        conf_intervals : array-like or None (default)
-           Array or sequence whose first dimension (or length) is compatible
-           with *x* and whose second dimension is 2. When the current element
-           of *conf_intervals* is not None, the notch locations computed by
-           matplotlib are overridden (assuming notch is True). When an
-           element of *conf_intervals* is None, boxplot compute notches the
-           method specified by the other kwargs (e.g., *bootstrap*).
-
-        positions : array-like, default = [1, 2, ..., n]
-           Sets the positions of the boxes. The ticks and limits
-           are automatically set to match the positions.
-
-        widths : array-like, default = 0.5
-           Either a scalar or a vector and sets the width of each box. The
-           default is 0.5, or ``0.15*(distance between extreme positions)``
-           if that is smaller.
-
-        labels : sequence or None (default)
-           Labels for each dataset. Length must be compatible with
-           dimensions  of *x*
-
-        patch_artist : bool, default = False
-           If False produces boxes with the Line2D artist
-           If True produces boxes with the Patch artist
-
-        showmeans : bool, default = False
-           If True, will toggle on the rendering of the means
-
-        showcaps : bool, default = True
-           If True, will toggle on the rendering of the caps
-
-        showbox : bool, default = True
-           If True, will toggle on the rendering of the box
-
-        showfliers : bool, default = True
-           If True, will toggle on the rendering of the fliers
-
-        boxprops : dict or None (default)
-           If provided, will set the plotting style of the boxes
-
-        whiskerprops : dict or None (default)
-           If provided, will set the plotting style of the whiskers
-
-        capprops : dict or None (default)
-           If provided, will set the plotting style of the caps
-
-        flierprops : dict or None (default)
-           If provided, will set the plotting style of the fliers
-
-        medianprops : dict or None (default)
-           If provided, will set the plotting style of the medians
-
-        meanprops : dict or None (default)
-            If provided, will set the plotting style of the means
-
-        meanline : bool, default = False
-            If True (and *showmeans* is True), will try to render the mean
-            as a line spanning the full width of the box according to
-            *meanprops*. Not recommended if *shownotches* is also True.
-            Otherwise, means will be shown as points.
-
-        manage_xticks : bool, default = True
+            The input data.
+        notch : bool, optional (False)
+            If `True`, will produce a notched box plot. Otherwise, a
+            rectangular boxplot is produced.
+        sym : str, optional
+            The default symbol for flier points. Enter an empty string
+            ('') if you don't want to show fliers. If `None`, then the
+            fliers default to 'b+'  If you want more control use the
+            flierprops kwarg.
+        vert : bool, optional (True)
+            If `True` (default), makes the boxes vertical. If `False`,
+            everything is drawn horizontally.
+        whis : float, sequence, or string (default = 1.5)
+            As a float, determines the reach of the whiskers past the
+            first and third quartiles (e.g., Q3 + whis*IQR,
+            IQR = interquartile range, Q3-Q1). Beyond the whiskers, data
+            are considered outliers and are plotted as individual
+            points. Set this to an unreasonably high value to force the
+            whiskers to show the min and max values. Alternatively, set
+            this to an ascending sequence of percentile (e.g., [5, 95])
+            to set the whiskers at specific percentiles of the data.
+            Finally, ``whis`` can be the string ``'range'`` to force the
+            whiskers to the min and max of the data. In the edge case
+            that the 25th and 75th percentiles are equivalent, *whis*
+            will be automatically set to ``'range'``.
+        bootstrap : int, optional
+            Specifies whether to bootstrap the confidence intervals
+            around the median for notched boxplots. If bootstrap==None,
+            no bootstrapping is performed, and notches are calculated
+            using a Gaussian-based asymptotic approximation (see McGill,
+            R., Tukey, J.W., and Larsen, W.A., 1978, and Kendall and
+            Stuart, 1967). Otherwise, bootstrap specifies the number of
+            times to bootstrap the median to determine its 95%
+            confidence intervals. Values between 1000 and 10000 are
+            recommended.
+        usermedians : array-like, optional
+            An array or sequence whose first dimension (or length) is
+            compatible with ``x``. This overrides the medians computed
+            by matplotlib for each element of *usermedians* that is not
+            `None`. When an element of *usermedians* == None, the median
+            will be computed by matplotlib as normal.
+        conf_intervals : array-like, optional
+            Array or sequence whose first dimension (or length) is
+            compatible with ``x`` and whose second dimension is 2. When
+            the current element of ``conf_intervals`` is not None, the
+            notch locations computed by matplotlib are overridden
+            (provided ``notch`` is `True`). When an element of
+            ``conf_intervals`` is `None`, the notches are computed by the
+            method specified by the other kwargs (e.g., ``bootstrap``).
+        positions : array-like, optional
+            Sets the positions of the boxes. The ticks and limits are
+            automatically set to match the positions. Defaults to
+            `range(1, N+1)` where N is the number of boxes to be drawn.
+        widths : scalar or array-like
+            Sets the width of each box either with a scalar or a
+            sequence. The default is 0.5, or ``0.15*(distance between
+            extreme positions)``, if that is smaller.
+        patch_artist : bool, optional (False)
+            If `False` produces boxes with the Line2D artist. Otherwise,
+            boxes and drawn with Patch artists.
+        labels : sequence, optional
+            Labels for each dataset. Length must be compatible with
+            dimensions  of ``x``.
+        manage_xticks : bool, optional (True)
             If the function should adjust the xlim and xtick locations.
+        autorange : bool, optional (False)
+            When `True` and the data are distributed such that the  25th and
+            75th percentiles are equal, ``whis`` is set to ``'range'`` such
+            that the whisker ends are at the minimum and maximum of the
+            data.
+        meanline : bool, optional (False)
+            If `True` (and ``showmeans`` is `True`), will try to render
+            the mean as a line spanning the full width of the box
+            according to ``meanprops`` (see below). Not recommended if
+            ``shownotches`` is also True. Otherwise, means will be shown
+            as points.
+
+        Additional Options
+        ---------------------
+        The following boolean options toogle the drawing of individual
+        components of the boxplots:
+            - showcaps: the caps on the ends of whiskers
+              (default is True)
+            - showbox: the central box (default is True)
+            - showfliers: the outlierd beyone the caps (default is True)
+            - showmeans: the arithmetic means (default is False)
+
+        The remaining options can accept dictionaries that specify the
+        style of the individual artists:
+            - capprops
+            - boxprops
+            - whiskerprops
+            - flierprops
+            - medianprops
+            - meanprops
 
         Returns
         -------
-
         result : dict
             A dictionary mapping each component of the boxplot
             to a list of the :class:`matplotlib.lines.Line2D`
@@ -3207,9 +3193,10 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
 
         Examples
         --------
-
         .. plot:: mpl_examples/statistics/boxplot_demo.py
+
         """
+
         # If defined in matplotlibrc, apply the value from rc file
         # Overridden if argument is passed
         if whis is None:

From fa2b7701776d8e94de1755608c8032d4401b9375 Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Tue, 26 Jan 2016 17:14:03 -0800
Subject: [PATCH 09/15] TST: only test PNGs for autorange bug

---
 .../test_axes/boxplot_autorange_false_whiskers.pdf | Bin 4903 -> 0 bytes
 .../test_axes/boxplot_autorange_false_whiskers.svg | 545 ---------------------
 .../test_axes/boxplot_autorange_true_whiskers.pdf  | Bin 4861 -> 0 bytes
 .../test_axes/boxplot_autorange_true_whiskers.svg  | 374 --------------
 lib/matplotlib/tests/test_axes.py                  |   7 +-
 5 files changed, 5 insertions(+), 921 deletions(-)
 delete mode 100644 lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_false_whiskers.pdf
 delete mode 100644 lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_false_whiskers.svg
 delete mode 100644 lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_true_whiskers.pdf
 delete mode 100644 lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_true_whiskers.svg

diff --git a/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_false_whiskers.pdf b/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_false_whiskers.pdf
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diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
index a7b87c150d3..60f2b1d2f1e 100644
--- a/lib/matplotlib/tests/test_axes.py
+++ b/lib/matplotlib/tests/test_axes.py
@@ -1785,8 +1785,11 @@ def test_boxplot_sym():
     ax.set_ylim((-30, 30))
 
 
-@image_comparison(baseline_images=['boxplot_autorange_false_whiskers',
-                                   'boxplot_autorange_true_whiskers'])
+@image_comparison(
+    baseline_images=['boxplot_autorange_false_whiskers',
+                     'boxplot_autorange_true_whiskers'],
+    extensions=['png'],
+)
 def test_boxplot_autorange_whiskers():
     x = np.ones(140)
     x = np.hstack([0, x, 2])

From 974bef9f3b54485bd77b9691b3e4081ffaba7f96 Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Tue, 26 Jan 2016 17:30:39 -0800
Subject: [PATCH 10/15] PEP8: whitespace

---
 lib/matplotlib/tests/test_cbook.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/matplotlib/tests/test_cbook.py b/lib/matplotlib/tests/test_cbook.py
index 1172fcb31c4..f80af590623 100644
--- a/lib/matplotlib/tests/test_cbook.py
+++ b/lib/matplotlib/tests/test_cbook.py
@@ -270,7 +270,7 @@ def test_boxplot_stats_autorange_false(self):
         x = np.hstack([-25, x, 25])
         bstats_false = cbook.boxplot_stats(x, autorange=False)
         bstats_true = cbook.boxplot_stats(x, autorange=True)
-        
+
         assert_equal(bstats_false[0]['whislo'], 0)
         assert_equal(bstats_false[0]['whishi'], 0)
         assert_array_almost_equal(bstats_false[0]['fliers'], [-25, 25])

From e4634bccebff7326d4cd2418c4dabf58c0a483ba Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Wed, 17 Feb 2016 19:42:33 -0800
Subject: [PATCH 11/15] TST: update boxplot-autorange test images

---
 .../test_axes/boxplot_autorange_false_whiskers.png    | Bin 6847 -> 6516 bytes
 .../test_axes/boxplot_autorange_true_whiskers.png     | Bin 6890 -> 6847 bytes
 2 files changed, 0 insertions(+), 0 deletions(-)

diff --git a/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_false_whiskers.png b/lib/matplotlib/tests/baseline_images/test_axes/boxplot_autorange_false_whiskers.png
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From 14192cadd2acaf930d7b1f1c08861d60f33843b4 Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Wed, 17 Feb 2016 20:22:11 -0800
Subject: [PATCH 12/15] DOC: boxplot typos and clarification

---
 lib/matplotlib/axes/_axes.py | 22 ++++++++++------------
 lib/matplotlib/cbook.py      |  2 +-
 2 files changed, 11 insertions(+), 13 deletions(-)

diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 596fbfcfa03..4c2a6d8f963 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -3068,8 +3068,8 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
                   meanprops=None, capprops=None, whiskerprops=None,
                   manage_xticks=True, autorange=False):
 
-        Make a box and whisker plot for each column of *x* or each
-        vector in sequence *x*.  The box extends from the lower to
+        Make a box and whisker plot for each column of ``x`` or each
+        vector in sequence ``x``.  The box extends from the lower to
         upper quartile values of the data, with a line at the median.
         The whiskers extend from the box to show the range of the
         data.  Flier points are those past the end of the whiskers.
@@ -3099,12 +3099,10 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
             this to an ascending sequence of percentile (e.g., [5, 95])
             to set the whiskers at specific percentiles of the data.
             Finally, ``whis`` can be the string ``'range'`` to force the
-            whiskers to the min and max of the data. In the edge case
-            that the 25th and 75th percentiles are equivalent, *whis*
-            will be automatically set to ``'range'``.
+            whiskers to the min and max of the data.
         bootstrap : int, optional
             Specifies whether to bootstrap the confidence intervals
-            around the median for notched boxplots. If bootstrap==None,
+            around the median for notched boxplots. If `bootstrap` is None,
             no bootstrapping is performed, and notches are calculated
             using a Gaussian-based asymptotic approximation (see McGill,
             R., Tukey, J.W., and Larsen, W.A., 1978, and Kendall and
@@ -3115,13 +3113,13 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
         usermedians : array-like, optional
             An array or sequence whose first dimension (or length) is
             compatible with ``x``. This overrides the medians computed
-            by matplotlib for each element of *usermedians* that is not
-            `None`. When an element of *usermedians* == None, the median
+            by matplotlib for each element of ``usermedians`` that is not
+            `None`. When an element of ``usermedians`` is None, the median
             will be computed by matplotlib as normal.
         conf_intervals : array-like, optional
             Array or sequence whose first dimension (or length) is
             compatible with ``x`` and whose second dimension is 2. When
-            the current element of ``conf_intervals`` is not None, the
+            the an element of ``conf_intervals`` is not None, the
             notch locations computed by matplotlib are overridden
             (provided ``notch`` is `True`). When an element of
             ``conf_intervals`` is `None`, the notches are computed by the
@@ -3156,12 +3154,12 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
 
         Additional Options
         ---------------------
-        The following boolean options toogle the drawing of individual
+        The following boolean options toggle the drawing of individual
         components of the boxplots:
             - showcaps: the caps on the ends of whiskers
               (default is True)
             - showbox: the central box (default is True)
-            - showfliers: the outlierd beyone the caps (default is True)
+            - showfliers: the outliers beyond the caps (default is True)
             - showmeans: the arithmetic means (default is False)
 
         The remaining options can accept dictionaries that specify the
@@ -3185,7 +3183,7 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
               and the median's confidence intervals if enabled.
             - medians: horizonal lines at the median of each box.
             - whiskers: the vertical lines extending to the most extreme,
-              n-outlier data points.
+              non-outlier data points.
             - caps: the horizontal lines at the ends of the whiskers.
             - fliers: points representing data that extend beyond the
               whiskers (outliers).
diff --git a/lib/matplotlib/cbook.py b/lib/matplotlib/cbook.py
index 6e6e0b206e1..d3e8e767b85 100644
--- a/lib/matplotlib/cbook.py
+++ b/lib/matplotlib/cbook.py
@@ -1764,7 +1764,7 @@ def boxplot_stats(X, whis=1.5, autorange=False, bootstrap=None,
                   labels=None):
     """
     Returns list of dictionaries of statistics used to draw a series
-    of box and whisker plots. See the `Returns` section below to the
+    of box and whisker plots. The `Returns` section enumerates the
     required keys of the dictionary. Users can skip this function and
     pass a user-defined set of dictionaries to the new `axes.bxp` method
     instead of relying on MPL to do the calculations.

From c887ad761ca53e1a9eac50fe04363c9e3dfc897d Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Thu, 18 Feb 2016 16:50:46 -0800
Subject: [PATCH 13/15] DOC: add whitespace around params

---
 lib/matplotlib/axes/_axes.py | 53 +++++++++++++++++++++++++++++++-------------
 1 file changed, 37 insertions(+), 16 deletions(-)

diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 4c2a6d8f963..21fa636ba52 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -3078,17 +3078,21 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
         ----------
         x : Array or a sequence of vectors.
             The input data.
+
         notch : bool, optional (False)
             If `True`, will produce a notched box plot. Otherwise, a
             rectangular boxplot is produced.
+
         sym : str, optional
             The default symbol for flier points. Enter an empty string
             ('') if you don't want to show fliers. If `None`, then the
             fliers default to 'b+'  If you want more control use the
             flierprops kwarg.
+
         vert : bool, optional (True)
             If `True` (default), makes the boxes vertical. If `False`,
             everything is drawn horizontally.
+
         whis : float, sequence, or string (default = 1.5)
             As a float, determines the reach of the whiskers past the
             first and third quartiles (e.g., Q3 + whis*IQR,
@@ -3100,6 +3104,7 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
             to set the whiskers at specific percentiles of the data.
             Finally, ``whis`` can be the string ``'range'`` to force the
             whiskers to the min and max of the data.
+
         bootstrap : int, optional
             Specifies whether to bootstrap the confidence intervals
             around the median for notched boxplots. If `bootstrap` is None,
@@ -3110,12 +3115,14 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
             times to bootstrap the median to determine its 95%
             confidence intervals. Values between 1000 and 10000 are
             recommended.
+
         usermedians : array-like, optional
             An array or sequence whose first dimension (or length) is
             compatible with ``x``. This overrides the medians computed
             by matplotlib for each element of ``usermedians`` that is not
             `None`. When an element of ``usermedians`` is None, the median
             will be computed by matplotlib as normal.
+
         conf_intervals : array-like, optional
             Array or sequence whose first dimension (or length) is
             compatible with ``x`` and whose second dimension is 2. When
@@ -3124,27 +3131,34 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
             (provided ``notch`` is `True`). When an element of
             ``conf_intervals`` is `None`, the notches are computed by the
             method specified by the other kwargs (e.g., ``bootstrap``).
+
         positions : array-like, optional
             Sets the positions of the boxes. The ticks and limits are
             automatically set to match the positions. Defaults to
             `range(1, N+1)` where N is the number of boxes to be drawn.
+
         widths : scalar or array-like
             Sets the width of each box either with a scalar or a
             sequence. The default is 0.5, or ``0.15*(distance between
             extreme positions)``, if that is smaller.
+
         patch_artist : bool, optional (False)
             If `False` produces boxes with the Line2D artist. Otherwise,
             boxes and drawn with Patch artists.
+
         labels : sequence, optional
             Labels for each dataset. Length must be compatible with
             dimensions  of ``x``.
+
         manage_xticks : bool, optional (True)
             If the function should adjust the xlim and xtick locations.
+
         autorange : bool, optional (False)
             When `True` and the data are distributed such that the  25th and
             75th percentiles are equal, ``whis`` is set to ``'range'`` such
             that the whisker ends are at the minimum and maximum of the
             data.
+
         meanline : bool, optional (False)
             If `True` (and ``showmeans`` is `True`), will try to render
             the mean as a line spanning the full width of the box
@@ -3174,20 +3188,27 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
         Returns
         -------
         result : dict
-            A dictionary mapping each component of the boxplot
-            to a list of the :class:`matplotlib.lines.Line2D`
-            instances created. That dictionary has the following keys
-            (assuming vertical boxplots):
-
-            - boxes: the main body of the boxplot showing the quartiles
-              and the median's confidence intervals if enabled.
-            - medians: horizonal lines at the median of each box.
-            - whiskers: the vertical lines extending to the most extreme,
-              non-outlier data points.
-            - caps: the horizontal lines at the ends of the whiskers.
-            - fliers: points representing data that extend beyond the
-              whiskers (outliers).
-            - means: points or lines representing the means.
+          A dictionary mapping each component of the boxplot to a list
+          of the :class:`matplotlib.lines.Line2D` instances
+          created. That dictionary has the following keys (assuming
+          vertical boxplots):
+
+          - ``boxes``: the main body of the boxplot showing the
+            quartiles and the median's confidence intervals if
+            enabled.
+
+          - ``medians``: horizontal lines at the median of each box.
+
+          - ``whiskers``: the vertical lines extending to the most
+            extreme, non-outlier data points.
+
+          - ``caps``: the horizontal lines at the ends of the
+            whiskers.
+
+          - ``fliers``: points representing data that extend beyond
+            the whiskers (fliers).
+
+          - ``means``: points or lines representing the means.
 
         Examples
         --------
@@ -3448,10 +3469,10 @@ def bxp(self, bxpstats, positions=None, widths=None, vert=True,
             quartiles and the median's confidence intervals if
             enabled.
 
-          - ``medians``: horizonal lines at the median of each box.
+          - ``medians``: horizontal lines at the median of each box.
 
           - ``whiskers``: the vertical lines extending to the most
-            extreme, n-outlier data points.
+            extreme, non-outlier data points.
 
           - ``caps``: the horizontal lines at the ends of the
             whiskers.

From a99c0236e4b6306350d92468cfb8513b531b3afc Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Sun, 13 Mar 2016 15:51:19 -0700
Subject: [PATCH 14/15] API: moved new autorange opt to the end of fxn sig

---
 lib/matplotlib/cbook.py | 18 +++++++++++-------
 1 file changed, 11 insertions(+), 7 deletions(-)

diff --git a/lib/matplotlib/cbook.py b/lib/matplotlib/cbook.py
index d3e8e767b85..67309a6c610 100644
--- a/lib/matplotlib/cbook.py
+++ b/lib/matplotlib/cbook.py
@@ -1760,8 +1760,8 @@ def delete_masked_points(*args):
     return margs
 
 
-def boxplot_stats(X, whis=1.5, autorange=False, bootstrap=None,
-                  labels=None):
+def boxplot_stats(X, whis=1.5, bootstrap=None, labels=None,
+                  autorange=False):
     """
     Returns list of dictionaries of statistics used to draw a series
     of box and whisker plots. The `Returns` section enumerates the
@@ -1774,6 +1774,7 @@ def boxplot_stats(X, whis=1.5, autorange=False, bootstrap=None,
     X : array-like
         Data that will be represented in the boxplots. Should have 2 or
         fewer dimensions.
+
     whis : float, string, or sequence (default = 1.5)
         As a float, determines the reach of the whiskers past the first
         and third quartiles (e.g., Q3 + whis*IQR, QR = interquartile
@@ -1785,18 +1786,21 @@ def boxplot_stats(X, whis=1.5, autorange=False, bootstrap=None,
         minimum and maximum of the data. In the edge case that the 25th
         and 75th percentiles are equivalent, `whis` can be automatically
         set to ``'range'`` via the `autorange` option.
-    autorange : bool, optional (False)
-        When `True` and the data are distributed such that the  25th and
-        75th percentiles are equal, ``whis`` is set to ``'range'`` such
-        that the whisker ends are at the minimum and maximum of the
-        data.
+
     bootstrap : int, optional
         Number of times the confidence intervals around the median
         should be bootstrapped (percentile method).
+
     labels : array-like, optional
         Labels for each dataset. Length must be compatible with
         dimensions of `X`.
 
+    autorange : bool, optional (False)
+        When `True` and the data are distributed such that the  25th and
+        75th percentiles are equal, ``whis`` is set to ``'range'`` such
+        that the whisker ends are at the minimum and maximum of the
+        data.
+
     Returns
     -------
     bxpstats : list of dict

From 6fe8a72363ffb192f517511716e26eacfd277b4b Mon Sep 17 00:00:00 2001
From: Paul Hobson <pmhobson@gmail.com>
Date: Sun, 13 Mar 2016 23:42:09 -0700
Subject: [PATCH 15/15] DOC: add api-change file describing new autorange
 behavior

---
 doc/api/api_changes/2016-03-13-PMH.rst | 10 ++++++++++
 1 file changed, 10 insertions(+)
 create mode 100644 doc/api/api_changes/2016-03-13-PMH.rst

diff --git a/doc/api/api_changes/2016-03-13-PMH.rst b/doc/api/api_changes/2016-03-13-PMH.rst
new file mode 100644
index 00000000000..209df726cd0
--- /dev/null
+++ b/doc/api/api_changes/2016-03-13-PMH.rst
@@ -0,0 +1,10 @@
+Changed default ``autorange`` behavior in boxplots
+``````````````````````````````````````````````````
+
+Prior to v1.5.2, the whiskers of boxplots would extend to the mininum
+and maximum values if the quartiles were all equal (i.e., Q1 = median
+= Q3). This behavior has been disabled by default to restore consistency
+with other plotting packages.
+
+To restore the old behavior, simply set ``autorange=True`` when
+calling ``plt.boxplot``.