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Merge pull request #5343 from phobson/bxp-equal-quartiles
Boxplot stats w/ equal quartiles
2 parents 8afb493 + 6fe8a72 commit 455cb92

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‎doc/api/api_changes/2016-03-13-PMH.rst

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Changed default ``autorange`` behavior in boxplots
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``````````````````````````````````````````````````
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Prior to v1.5.2, the whiskers of boxplots would extend to the mininum
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and maximum values if the quartiles were all equal (i.e., Q1 = median
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= Q3). This behavior has been disabled by default to restore consistency
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with other plotting packages.
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To restore the old behavior, simply set ``autorange=True`` when
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calling ``plt.boxplot``.

‎lib/matplotlib/axes/_axes.py

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@@ -3050,9 +3050,10 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
30503050
positions=None, widths=None, patch_artist=None,
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bootstrap=None, usermedians=None, conf_intervals=None,
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meanline=None, showmeans=None, showcaps=None,
3053-
showbox=None, showfliers=None, boxprops=None, labels=None,
3054-
flierprops=None, medianprops=None, meanprops=None,
3055-
capprops=None, whiskerprops=None, manage_xticks=True):
3053+
showbox=None, showfliers=None, boxprops=None,
3054+
labels=None, flierprops=None, medianprops=None,
3055+
meanprops=None, capprops=None, whiskerprops=None,
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manage_xticks=True, autorange=False):
30563057
"""
30573058
Make a box and whisker plot.
30583059
@@ -3062,161 +3063,167 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
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positions=None, widths=None, patch_artist=False,
30633064
bootstrap=None, usermedians=None, conf_intervals=None,
30643065
meanline=False, showmeans=False, showcaps=True,
3065-
showbox=True, showfliers=True, boxprops=None, labels=None,
3066-
flierprops=None, medianprops=None, meanprops=None,
3067-
capprops=None, whiskerprops=None, manage_xticks=True):
3066+
showbox=True, showfliers=True, boxprops=None,
3067+
labels=None, flierprops=None, medianprops=None,
3068+
meanprops=None, capprops=None, whiskerprops=None,
3069+
manage_xticks=True, autorange=False):
30683070
3069-
Make a box and whisker plot for each column of *x* or each
3070-
vector in sequence *x*. The box extends from the lower to
3071+
Make a box and whisker plot for each column of ``x`` or each
3072+
vector in sequence ``x``. The box extends from the lower to
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upper quartile values of the data, with a line at the median.
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The whiskers extend from the box to show the range of the
30733075
data. Flier points are those past the end of the whiskers.
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30753077
Parameters
30763078
----------
30773079
x : Array or a sequence of vectors.
3078-
The input data.
3079-
3080-
notch : bool, default = False
3081-
If False, produces a rectangular box plot.
3082-
If True, will produce a notched box plot
3083-
3084-
sym : str or None, default = None
3085-
The default symbol for flier points.
3086-
Enter an empty string ('') if you don't want to show fliers.
3087-
If `None`, then the fliers default to 'b+' If you want more
3088-
control use the flierprops kwarg.
3089-
3090-
vert : bool, default = True
3091-
If True (default), makes the boxes vertical.
3092-
If False, makes horizontal boxes.
3093-
3094-
whis : float, sequence (default = 1.5) or string
3095-
As a float, determines the reach of the whiskers past the first
3096-
and third quartiles (e.g., Q3 + whis*IQR, IQR = interquartile
3097-
range, Q3-Q1). Beyond the whiskers, data are considered outliers
3098-
and are plotted as individual points. Set this to an unreasonably
3099-
high value to force the whiskers to show the min and max values.
3100-
Alternatively, set this to an ascending sequence of percentile
3101-
(e.g., [5, 95]) to set the whiskers at specific percentiles of
3102-
the data. Finally, *whis* can be the string 'range' to force the
3103-
whiskers to the min and max of the data. In the edge case that
3104-
the 25th and 75th percentiles are equivalent, *whis* will be
3105-
automatically set to 'range'.
3106-
3107-
bootstrap : None (default) or integer
3108-
Specifies whether to bootstrap the confidence intervals
3109-
around the median for notched boxplots. If bootstrap==None,
3110-
no bootstrapping is performed, and notches are calculated
3111-
using a Gaussian-based asymptotic approximation (see McGill, R.,
3112-
Tukey, J.W., and Larsen, W.A., 1978, and Kendall and Stuart,
3113-
1967). Otherwise, bootstrap specifies the number of times to
3114-
bootstrap the median to determine it's 95% confidence intervals.
3115-
Values between 1000 and 10000 are recommended.
3116-
3117-
usermedians : array-like or None (default)
3118-
An array or sequence whose first dimension (or length) is
3119-
compatible with *x*. This overrides the medians computed by
3120-
matplotlib for each element of *usermedians* that is not None.
3121-
When an element of *usermedians* == None, the median will be
3122-
computed by matplotlib as normal.
3123-
3124-
conf_intervals : array-like or None (default)
3125-
Array or sequence whose first dimension (or length) is compatible
3126-
with *x* and whose second dimension is 2. When the current element
3127-
of *conf_intervals* is not None, the notch locations computed by
3128-
matplotlib are overridden (assuming notch is True). When an
3129-
element of *conf_intervals* is None, boxplot compute notches the
3130-
method specified by the other kwargs (e.g., *bootstrap*).
3131-
3132-
positions : array-like, default = [1, 2, ..., n]
3133-
Sets the positions of the boxes. The ticks and limits
3134-
are automatically set to match the positions.
3135-
3136-
widths : array-like, default = 0.5
3137-
Either a scalar or a vector and sets the width of each box. The
3138-
default is 0.5, or ``0.15*(distance between extreme positions)``
3139-
if that is smaller.
3140-
3141-
labels : sequence or None (default)
3142-
Labels for each dataset. Length must be compatible with
3143-
dimensions of *x*
3144-
3145-
patch_artist : bool, default = False
3146-
If False produces boxes with the Line2D artist
3147-
If True produces boxes with the Patch artist
3148-
3149-
showmeans : bool, default = False
3150-
If True, will toggle on the rendering of the means
3151-
3152-
showcaps : bool, default = True
3153-
If True, will toggle on the rendering of the caps
3154-
3155-
showbox : bool, default = True
3156-
If True, will toggle on the rendering of the box
3157-
3158-
showfliers : bool, default = True
3159-
If True, will toggle on the rendering of the fliers
3160-
3161-
boxprops : dict or None (default)
3162-
If provided, will set the plotting style of the boxes
3163-
3164-
whiskerprops : dict or None (default)
3165-
If provided, will set the plotting style of the whiskers
3080+
The input data.
3081+
3082+
notch : bool, optional (False)
3083+
If `True`, will produce a notched box plot. Otherwise, a
3084+
rectangular boxplot is produced.
3085+
3086+
sym : str, optional
3087+
The default symbol for flier points. Enter an empty string
3088+
('') if you don't want to show fliers. If `None`, then the
3089+
fliers default to 'b+' If you want more control use the
3090+
flierprops kwarg.
3091+
3092+
vert : bool, optional (True)
3093+
If `True` (default), makes the boxes vertical. If `False`,
3094+
everything is drawn horizontally.
3095+
3096+
whis : float, sequence, or string (default = 1.5)
3097+
As a float, determines the reach of the whiskers past the
3098+
first and third quartiles (e.g., Q3 + whis*IQR,
3099+
IQR = interquartile range, Q3-Q1). Beyond the whiskers, data
3100+
are considered outliers and are plotted as individual
3101+
points. Set this to an unreasonably high value to force the
3102+
whiskers to show the min and max values. Alternatively, set
3103+
this to an ascending sequence of percentile (e.g., [5, 95])
3104+
to set the whiskers at specific percentiles of the data.
3105+
Finally, ``whis`` can be the string ``'range'`` to force the
3106+
whiskers to the min and max of the data.
3107+
3108+
bootstrap : int, optional
3109+
Specifies whether to bootstrap the confidence intervals
3110+
around the median for notched boxplots. If `bootstrap` is None,
3111+
no bootstrapping is performed, and notches are calculated
3112+
using a Gaussian-based asymptotic approximation (see McGill,
3113+
R., Tukey, J.W., and Larsen, W.A., 1978, and Kendall and
3114+
Stuart, 1967). Otherwise, bootstrap specifies the number of
3115+
times to bootstrap the median to determine its 95%
3116+
confidence intervals. Values between 1000 and 10000 are
3117+
recommended.
3118+
3119+
usermedians : array-like, optional
3120+
An array or sequence whose first dimension (or length) is
3121+
compatible with ``x``. This overrides the medians computed
3122+
by matplotlib for each element of ``usermedians`` that is not
3123+
`None`. When an element of ``usermedians`` is None, the median
3124+
will be computed by matplotlib as normal.
3125+
3126+
conf_intervals : array-like, optional
3127+
Array or sequence whose first dimension (or length) is
3128+
compatible with ``x`` and whose second dimension is 2. When
3129+
the an element of ``conf_intervals`` is not None, the
3130+
notch locations computed by matplotlib are overridden
3131+
(provided ``notch`` is `True`). When an element of
3132+
``conf_intervals`` is `None`, the notches are computed by the
3133+
method specified by the other kwargs (e.g., ``bootstrap``).
3134+
3135+
positions : array-like, optional
3136+
Sets the positions of the boxes. The ticks and limits are
3137+
automatically set to match the positions. Defaults to
3138+
`range(1, N+1)` where N is the number of boxes to be drawn.
3139+
3140+
widths : scalar or array-like
3141+
Sets the width of each box either with a scalar or a
3142+
sequence. The default is 0.5, or ``0.15*(distance between
3143+
extreme positions)``, if that is smaller.
3144+
3145+
patch_artist : bool, optional (False)
3146+
If `False` produces boxes with the Line2D artist. Otherwise,
3147+
boxes and drawn with Patch artists.
3148+
3149+
labels : sequence, optional
3150+
Labels for each dataset. Length must be compatible with
3151+
dimensions of ``x``.
3152+
3153+
manage_xticks : bool, optional (True)
3154+
If the function should adjust the xlim and xtick locations.
31663155
3167-
capprops : dict or None (default)
3168-
If provided, will set the plotting style of the caps
3156+
autorange : bool, optional (False)
3157+
When `True` and the data are distributed such that the 25th and
3158+
75th percentiles are equal, ``whis`` is set to ``'range'`` such
3159+
that the whisker ends are at the minimum and maximum of the
3160+
data.
3161+
3162+
meanline : bool, optional (False)
3163+
If `True` (and ``showmeans`` is `True`), will try to render
3164+
the mean as a line spanning the full width of the box
3165+
according to ``meanprops`` (see below). Not recommended if
3166+
``shownotches`` is also True. Otherwise, means will be shown
3167+
as points.
3168+
3169+
Additional Options
3170+
---------------------
3171+
The following boolean options toggle the drawing of individual
3172+
components of the boxplots:
3173+
- showcaps: the caps on the ends of whiskers
3174+
(default is True)
3175+
- showbox: the central box (default is True)
3176+
- showfliers: the outliers beyond the caps (default is True)
3177+
- showmeans: the arithmetic means (default is False)
3178+
3179+
The remaining options can accept dictionaries that specify the
3180+
style of the individual artists:
3181+
- capprops
3182+
- boxprops
3183+
- whiskerprops
3184+
- flierprops
3185+
- medianprops
3186+
- meanprops
31693187
3170-
flierprops : dict or None (default)
3171-
If provided, will set the plotting style of the fliers
3188+
Returns
3189+
-------
3190+
result : dict
3191+
A dictionary mapping each component of the boxplot to a list
3192+
of the :class:`matplotlib.lines.Line2D` instances
3193+
created. That dictionary has the following keys (assuming
3194+
vertical boxplots):
31723195
3173-
medianprops : dict or None (default)
3174-
If provided, will set the plotting style of the medians
3196+
- ``boxes``: the main body of the boxplot showing the
3197+
quartiles and the median's confidence intervals if
3198+
enabled.
31753199
3176-
meanprops : dict or None (default)
3177-
If provided, will set the plotting style of the means
3200+
- ``medians``: horizontal lines at the median of each box.
31783201
3179-
meanline : bool, default = False
3180-
If True (and *showmeans* is True), will try to render the mean
3181-
as a line spanning the full width of the box according to
3182-
*meanprops*. Not recommended if *shownotches* is also True.
3183-
Otherwise, means will be shown as points.
3202+
- ``whiskers``: the vertical lines extending to the most
3203+
extreme, non-outlier data points.
31843204
3185-
manage_xticks : bool, default = True
3186-
If the function should adjust the xlim and xtick locations.
3205+
- ``caps``: the horizontal lines at the ends of the
3206+
whiskers.
31873207
3188-
Returns
3189-
-------
3208+
- ``fliers``: points representing data that extend beyond
3209+
the whiskers (fliers).
31903210
3191-
result : dict
3192-
A dictionary mapping each component of the boxplot
3193-
to a list of the :class:`matplotlib.lines.Line2D`
3194-
instances created. That dictionary has the following keys
3195-
(assuming vertical boxplots):
3196-
3197-
- boxes: the main body of the boxplot showing the quartiles
3198-
and the median's confidence intervals if enabled.
3199-
- medians: horizonal lines at the median of each box.
3200-
- whiskers: the vertical lines extending to the most extreme,
3201-
n-outlier data points.
3202-
- caps: the horizontal lines at the ends of the whiskers.
3203-
- fliers: points representing data that extend beyond the
3204-
whiskers (outliers).
3205-
- means: points or lines representing the means.
3211+
- ``means``: points or lines representing the means.
32063212
32073213
Examples
32083214
--------
3209-
32103215
.. plot:: mpl_examples/statistics/boxplot_demo.py
3216+
32113217
"""
3218+
32123219
# If defined in matplotlibrc, apply the value from rc file
32133220
# Overridden if argument is passed
32143221
if whis is None:
32153222
whis = rcParams['boxplot.whiskers']
32163223
if bootstrap is None:
32173224
bootstrap = rcParams['boxplot.bootstrap']
32183225
bxpstats = cbook.boxplot_stats(x, whis=whis, bootstrap=bootstrap,
3219-
labels=labels)
3226+
labels=labels, autorange=autorange)
32203227
if notch is None:
32213228
notch = rcParams['boxplot.notch']
32223229
if vert is None:
@@ -3462,10 +3469,10 @@ def bxp(self, bxpstats, positions=None, widths=None, vert=True,
34623469
quartiles and the median's confidence intervals if
34633470
enabled.
34643471
3465-
- ``medians``: horizonal lines at the median of each box.
3472+
- ``medians``: horizontal lines at the median of each box.
34663473
34673474
- ``whiskers``: the vertical lines extending to the most
3468-
extreme, n-outlier data points.
3475+
extreme, non-outlier data points.
34693476
34703477
- ``caps``: the horizontal lines at the ends of the
34713478
whiskers.

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