@@ -822,10 +822,6 @@ def axhspan(self, ymin, ymax, xmin=0, xmax=1, **kwargs):
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"""
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Add a horizontal span (rectangle) across the axis.
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- Call signature::
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-
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- axhspan(ymin, ymax, xmin=0, xmax=1, **kwargs)
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-
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*y* coords are in data units and *x* coords are in axes (relative
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0-1) units.
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@@ -877,10 +873,6 @@ def axvspan(self, xmin, xmax, ymin=0, ymax=1, **kwargs):
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"""
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Add a vertical span (rectangle) across the axes.
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- Call signature::
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-
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- axvspan(xmin, xmax, ymin=0, ymax=1, **kwargs)
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-
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*x* coords are in data units and *y* coords are in axes (relative
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0-1) units.
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@@ -1099,12 +1091,6 @@ def eventplot(self, positions, orientation='horizontal', lineoffsets=1,
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"""
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Plot identical parallel lines at specific positions.
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- Call signature::
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-
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- eventplot(positions, orientation='horizontal', lineoffsets=0,
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- linelengths=1, linewidths=None, color =None,
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- linestyles='solid'
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-
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Plot parallel lines at the given positions. positions should be a 1D
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or 2D array-like object, with each row corresponding to a row or column
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of lines.
@@ -1435,11 +1421,6 @@ def plot_date(self, x, y, fmt='o', tz=None, xdate=True, ydate=False,
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"""
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Plot with data with dates.
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- Call signature::
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-
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- plot_date(x, y, fmt='bo', tz=None, xdate=True,
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- ydate=False, **kwargs)
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-
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Similar to the :func:`~matplotlib.pyplot.plot` command, except
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the *x* or *y* (or both) data is considered to be dates, and the
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axis is labeled accordingly.
@@ -1508,10 +1489,6 @@ def loglog(self, *args, **kwargs):
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"""
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Make a plot with log scaling on both the *x* and *y* axis.
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- Call signature::
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-
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- loglog(*args, **kwargs)
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-
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:func:`~matplotlib.pyplot.loglog` supports all the keyword
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arguments of :func:`~matplotlib.pyplot.plot` and
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:meth:`matplotlib.axes.Axes.set_xscale` /
@@ -1570,10 +1547,6 @@ def semilogx(self, *args, **kwargs):
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"""
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Make a plot with log scaling on the *x* axis.
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- Call signature::
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-
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- semilogx(*args, **kwargs)
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-
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:func:`semilogx` supports all the keyword arguments of
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:func:`~matplotlib.pyplot.plot` and
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:meth:`matplotlib.axes.Axes.set_xscale`.
@@ -1623,10 +1596,6 @@ def semilogy(self, *args, **kwargs):
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"""
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Make a plot with log scaling on the *y* axis.
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- call signature::
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-
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- semilogy(*args, **kwargs)
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-
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:func:`semilogy` supports all the keyword arguments of
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:func:`~matplotlib.pylab.plot` and
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:meth:`matplotlib.axes.Axes.set_yscale`.
@@ -1827,10 +1796,6 @@ def step(self, x, y, *args, **kwargs):
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"""
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Make a step plot.
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- Call signature::
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-
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- step(x, y, *args, **kwargs)
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-
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Additional keyword args to :func:`step` are the same as those
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for :func:`~matplotlib.pyplot.plot`.
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@@ -2301,10 +2266,6 @@ def broken_barh(self, xranges, yrange, **kwargs):
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"""
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Plot horizontal bars.
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- Call signature::
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-
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- broken_barh(self, xranges, yrange, **kwargs)
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-
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A collection of horizontal bars spanning *yrange* with a sequence of
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*xranges*.
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@@ -2454,15 +2415,6 @@ def pie(self, x, explode=None, labels=None, colors=None,
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r"""
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Plot a pie chart.
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- Call signature::
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-
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- pie(x, explode=None, labels=None,
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- colors=('b', 'g', 'r', 'c', 'm', 'y', 'k', 'w'),
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- autopct=None, pctdistance=0.6, shadow=False,
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- labeldistance=1.1, startangle=None, radius=None,
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- counterclock=True, wedgeprops=None, textprops=None,
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- center = (0, 0), frame = False )
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-
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Make a pie chart of array *x*. The fractional area of each
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wedge is given by x/sum(x). If sum(x) <= 1, then the values
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of x give the fractional area directly and the array will not
@@ -2676,14 +2628,6 @@ def errorbar(self, x, y, yerr=None, xerr=None,
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"""
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Plot an errorbar graph.
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- Call signature::
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-
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- errorbar(x, y, yerr=None, xerr=None,
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- fmt='', ecolor=None, elinewidth=None, capsize=None,
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- barsabove=False, lolims=False, uplims=False,
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- xlolims=False, xuplims=False, errorevery=1,
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- capthick=None)
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-
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Plot *x* versus *y* with error deltas in *yerr* and *xerr*.
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Vertical errorbars are plotted if *yerr* is not *None*.
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Horizontal errorbars are plotted if *xerr* is not *None*.
@@ -3055,16 +2999,6 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
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"""
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Make a box and whisker plot.
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- Call signature::
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-
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- boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
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- positions=None, widths=None, patch_artist=False,
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- bootstrap=None, usermedians=None, conf_intervals=None,
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- meanline=False, showmeans=False, showcaps=True,
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- showbox=True, showfliers=True, boxprops=None, labels=None,
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- flierprops=None, medianprops=None, meanprops=None,
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- capprops=None, whiskerprops=None, manage_xticks=True):
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-
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Make a box and whisker plot for each column of *x* or each
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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.
@@ -3338,15 +3272,6 @@ def bxp(self, bxpstats, positions=None, widths=None, vert=True,
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"""
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Drawing function for box and whisker plots.
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- Call signature::
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-
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- bxp(self, bxpstats, positions=None, widths=None, vert=True,
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- patch_artist=False, shownotches=False, showmeans=False,
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- showcaps=True, showbox=True, showfliers=True,
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- boxprops=None, whiskerprops=None, flierprops=None,
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- medianprops=None, capprops=None, meanprops=None,
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- meanline=False, manage_xticks=True):
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-
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Make a box and whisker plot for each column of *x* or each
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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.
@@ -3950,15 +3875,6 @@ def hexbin(self, x, y, C=None, gridsize=100, bins=None,
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"""
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Make a hexagonal binning plot.
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- Call signature::
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-
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- hexbin(x, y, C = None, gridsize = 100, bins = None,
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- xscale = 'linear', yscale = 'linear',
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- cmap=None, norm=None, vmin=None, vmax=None,
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- alpha=None, linewidths=None, edgecolors='none'
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- reduce_C_function = np.mean, mincnt=None, marginals=True
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- **kwargs)
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-
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Make a hexagonal binning plot of *x* versus *y*, where *x*,
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*y* are 1-D sequences of the same length, *N*. If *C* is *None*
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(the default), this is a histogram of the number of occurences
@@ -4402,10 +4318,6 @@ def arrow(self, x, y, dx, dy, **kwargs):
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"""
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Add an arrow to the axes.
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- Call signature::
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-
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- arrow(x, y, dx, dy, **kwargs)
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-
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Draws arrow on specified axis from (*x*, *y*) to (*x* + *dx*,
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*y* + *dy*). Uses FancyArrow patch to construct the arrow.
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@@ -4507,10 +4419,6 @@ def fill(self, *args, **kwargs):
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"""
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Plot filled polygons.
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- Call signature::
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-
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- fill(*args, **kwargs)
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-
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*args* is a variable length argument, allowing for multiple
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*x*, *y* pairs with an optional color format string; see
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:func:`~matplotlib.pyplot.plot` for details on the argument
@@ -4716,10 +4624,6 @@ def fill_betweenx(self, y, x1, x2=0, where=None,
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"""
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Make filled polygons between two horizontal curves.
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- Call signature::
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-
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- fill_betweenx(y, x1, x2=0, where=None, **kwargs)
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-
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Create a :class:`~matplotlib.collections.PolyCollection`
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filling the regions between *x1* and *x2* where
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``where==True``
@@ -7258,12 +7162,6 @@ def violinplot(self, dataset, positions=None, vert=True, widths=0.5,
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"""
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Make a violin plot.
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- Call signature::
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-
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- violinplot(dataset, positions=None, vert=True, widths=0.5,
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- showmeans=False, showextrema=True, showmedians=False,
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- points=100, bw_method=None):
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-
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Make a violin plot for each column of *dataset* or each vector in
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sequence *dataset*. Each filled area extends to represent the
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entire data range, with optional lines at the mean, the median,
@@ -7361,11 +7259,6 @@ def violin(self, vpstats, positions=None, vert=True, widths=0.5,
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showmeans = False , showextrema = True , showmedians = False ):
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"""Drawing function for violin plots.
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- Call signature::
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-
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- violin(vpstats, positions=None, vert=True, widths=0.5,
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- showmeans=False, showextrema=True, showmedians=False):
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Draw a violin plot for each column of `vpstats`. Each filled area
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extends to represent the entire data range, with optional lines at the
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mean, the median, the minimum, and the maximum.
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