@@ -751,7 +751,7 @@ def axvline(self, x=0, ymin=0, ymax=1, **kwargs):
751751
752752
753753 Examples
754- ---------
754+ --------
755755 * draw a thick red vline at *x* = 0 that spans the yrange::
756756
757757 >>> axvline(linewidth=4, color='r')
@@ -1034,7 +1034,7 @@ def vlines(self, x, ymin, ymax, colors='k', linestyles='solid',
10341034 hlines : horizontal lines
10351035
10361036 Examples
1037- ---------
1037+ --------
10381038 .. plot:: mpl_examples/pylab_examples/vline_hline_demo.py
10391039
10401040 """
@@ -1089,12 +1089,6 @@ def eventplot(self, positions, orientation='horizontal', lineoffsets=1,
10891089 """
10901090 Plot identical parallel lines at specific positions.
10911091
1092- Call signature::
1093-
1094- eventplot(positions, orientation='horizontal', lineoffsets=0,
1095- linelengths=1, linewidths=None, color =None,
1096- linestyles='solid'
1097-
10981092 Plot parallel lines at the given positions. positions should be a 1D
10991093 or 2D array-like object, with each row corresponding to a row or column
11001094 of lines.
@@ -1497,10 +1491,6 @@ def loglog(self, *args, **kwargs):
14971491 """
14981492 Make a plot with log scaling on both the *x* and *y* axis.
14991493
1500- Call signature::
1501-
1502- loglog(*args, **kwargs)
1503-
15041494 :func:`~matplotlib.pyplot.loglog` supports all the keyword
15051495 arguments of :func:`~matplotlib.pyplot.plot` and
15061496 :meth:`matplotlib.axes.Axes.set_xscale` /
@@ -1702,7 +1692,7 @@ def acorr(self, x, **kwargs):
17021692 - `b` is the x-axis.
17031693
17041694 Other parameters
1705- -----------------
1695+ ----------------
17061696 linestyle : `~matplotlib.lines.Line2D` prop, optional, default: None
17071697 Only used if usevlines is False.
17081698
@@ -1766,7 +1756,7 @@ def xcorr(self, x, y, normed=True, detrend=mlab.detrend_none,
17661756 - `b` is the x-axis (none, if plot is used).
17671757
17681758 Other parameters
1769- -----------------
1759+ ----------------
17701760 linestyle : `~matplotlib.lines.Line2D` prop, optional, default: None
17711761 Only used if usevlines is False.
17721762
@@ -2231,7 +2221,7 @@ def barh(self, bottom, width, height=0.8, left=None, **kwargs):
22312221 the x coordinates of the left sides of the bars
22322222
22332223 Returns
2234- --------
2224+ -------
22352225 `matplotlib.patches.Rectangle` instances.
22362226
22372227 Other parameters
@@ -2304,10 +2294,6 @@ def broken_barh(self, xranges, yrange, **kwargs):
23042294 """
23052295 Plot horizontal bars.
23062296
2307- Call signature::
2308-
2309- broken_barh(self, xranges, yrange, **kwargs)
2310-
23112297 A collection of horizontal bars spanning *yrange* with a sequence of
23122298 *xranges*.
23132299
@@ -2494,15 +2480,6 @@ def pie(self, x, explode=None, labels=None, colors=None,
24942480 r"""
24952481 Plot a pie chart.
24962482
2497- Call signature::
2498-
2499- pie(x, explode=None, labels=None,
2500- colors=None,
2501- autopct=None, pctdistance=0.6, shadow=False,
2502- labeldistance=1.1, startangle=None, radius=None,
2503- counterclock=True, wedgeprops=None, textprops=None,
2504- center = (0, 0), frame = False )
2505-
25062483 Make a pie chart of array *x*. The fractional area of each
25072484 wedge is given by x/sum(x). If sum(x) <= 1, then the values
25082485 of x give the fractional area directly and the array will not
@@ -3111,17 +3088,6 @@ def boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
31113088 """
31123089 Make a box and whisker plot.
31133090
3114- Call signature::
3115-
3116- boxplot(self, x, notch=None, sym=None, vert=None, whis=None,
3117- positions=None, widths=None, patch_artist=False,
3118- bootstrap=None, usermedians=None, conf_intervals=None,
3119- meanline=False, showmeans=False, showcaps=True,
3120- showbox=True, showfliers=True, boxprops=None,
3121- labels=None, flierprops=None, medianprops=None,
3122- meanprops=None, capprops=None, whiskerprops=None,
3123- manage_xticks=True, autorange=False, zorder=None):
3124-
31253091 Make a box and whisker plot for each column of ``x`` or each
31263092 vector in sequence ``x``. The box extends from the lower to
31273093 upper quartile values of the data, with a line at the median.
@@ -3421,15 +3387,6 @@ def bxp(self, bxpstats, positions=None, widths=None, vert=True,
34213387 """
34223388 Drawing function for box and whisker plots.
34233389
3424- Call signature::
3425-
3426- bxp(self, bxpstats, positions=None, widths=None, vert=True,
3427- patch_artist=False, shownotches=False, showmeans=False,
3428- showcaps=True, showbox=True, showfliers=True,
3429- boxprops=None, whiskerprops=None, flierprops=None,
3430- medianprops=None, capprops=None, meanprops=None,
3431- meanline=False, manage_xticks=True, zorder=None):
3432-
34333390 Make a box and whisker plot for each column of *x* or each
34343391 vector in sequence *x*. The box extends from the lower to
34353392 upper quartile values of the data, with a line at the median.
@@ -4900,10 +4857,6 @@ def fill_betweenx(self, y, x1, x2=0, where=None,
49004857 """
49014858 Make filled polygons between two horizontal curves.
49024859
4903- Call signature::
4904-
4905- fill_betweenx(y, x1, x2=0, where=None, **kwargs)
4906-
49074860 Create a :class:`~matplotlib.collections.PolyCollection`
49084861 filling the regions between *x1* and *x2* where
49094862 ``where==True``
@@ -5034,7 +4987,7 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
50344987 Display an image on the axes.
50354988
50364989 Parameters
5037- -----------
4990+ ----------
50384991 X : array_like, shape (n, m) or (n, m, 3) or (n, m, 4)
50394992 Display the image in `X` to current axes. `X` may be an
50404993 array or a PIL image. If `X` is an array, it
@@ -5117,7 +5070,7 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
51175070 when interpolation is one of: 'sinc', 'lanczos' or 'blackman'
51185071
51195072 Returns
5120- --------
5073+ -------
51215074 image : `~matplotlib.image.AxesImage`
51225075
51235076 Other parameters
@@ -6528,7 +6481,7 @@ def hist2d(self, x, y, bins=10, range=None, normed=False, weights=None,
65286481 The return value is ``(counts, xedges, yedges, Image)``.
65296482
65306483 Other parameters
6531- -----------------
6484+ ----------------
65326485 kwargs : :meth:`pcolorfast` properties.
65336486
65346487 See also
@@ -7066,12 +7019,6 @@ def cohere(self, x, y, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none,
70667019 """
70677020 Plot the coherence between *x* and *y*.
70687021
7069- Call signature::
7070-
7071- cohere(x, y, NFFT=256, Fs=2, Fc=0, detrend = mlab.detrend_none,
7072- window = mlab.window_hanning, noverlap=0, pad_to=None,
7073- sides='default', scale_by_freq=None, **kwargs)
7074-
70757022 Plot the coherence between *x* and *y*. Coherence is the
70767023 normalized cross spectral density:
70777024
@@ -7448,13 +7395,8 @@ def matshow(self, Z, **kwargs):
74487395 def violinplot (self , dataset , positions = None , vert = True , widths = 0.5 ,
74497396 showmeans = False , showextrema = True , showmedians = False ,
74507397 points = 100 , bw_method = None ):
7451- """Make a violin plot.
7452-
7453- Call signature::
7454-
7455- violinplot(dataset, positions=None, vert=True, widths=0.5,
7456- showmeans=False, showextrema=True, showmedians=False,
7457- points=100, bw_method=None):
7398+ """
7399+ Make a violin plot.
74587400
74597401 Make a violin plot for each column of *dataset* or each vector in
74607402 sequence *dataset*. Each filled area extends to represent the
@@ -7553,11 +7495,6 @@ def violin(self, vpstats, positions=None, vert=True, widths=0.5,
75537495 showmeans = False , showextrema = True , showmedians = False ):
75547496 """Drawing function for violin plots.
75557497
7556- Call signature::
7557-
7558- violin(vpstats, positions=None, vert=True, widths=0.5,
7559- showmeans=False, showextrema=True, showmedians=False):
7560-
75617498 Draw a violin plot for each column of `vpstats`. Each filled area
75627499 extends to represent the entire data range, with optional lines at the
75637500 mean, the median, the minimum, and the maximum.
0 commit comments