diff --git a/lib/matplotlib/artist.py b/lib/matplotlib/artist.py
index 72192d247473..191147105ef6 100644
--- a/lib/matplotlib/artist.py
+++ b/lib/matplotlib/artist.py
@@ -426,11 +426,8 @@ def pickable(self):
                 self._picker is not None)
 
     def pick(self, mouseevent):
-        """Process pick event
-
-        call signature::
-
-          pick(mouseevent)
+        """
+        Process pick event
 
         each child artist will fire a pick event if *mouseevent* is over
         the artist and the artist has picker set
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index c385cc75ac99..e8f5da9a5552 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -751,7 +751,7 @@ def axvline(self, x=0, ymin=0, ymax=1, **kwargs):
 
 
         Examples
-        ---------
+        --------
         * draw a thick red vline at *x* = 0 that spans the yrange::
 
             >>> axvline(linewidth=4, color='r')
@@ -1034,7 +1034,7 @@ def vlines(self, x, ymin, ymax, colors='k', linestyles='solid',
         hlines : horizontal lines
 
         Examples
-        ---------
+        --------
         .. plot:: mpl_examples/pylab_examples/vline_hline_demo.py
 
         """
@@ -1089,12 +1089,6 @@ def eventplot(self, positions, orientation='horizontal', lineoffsets=1,
         """
         Plot identical parallel lines at specific positions.
 
-        Call signature::
-
-          eventplot(positions, orientation='horizontal', lineoffsets=0,
-                    linelengths=1, linewidths=None, color =None,
-                    linestyles='solid'
-
         Plot parallel lines at the given positions.  positions should be a 1D
         or 2D array-like object, with each row corresponding to a row or column
         of lines.
@@ -1497,10 +1491,6 @@ def loglog(self, *args, **kwargs):
         """
         Make a plot with log scaling on both the *x* and *y* axis.
 
-        Call signature::
-
-          loglog(*args, **kwargs)
-
         :func:`~matplotlib.pyplot.loglog` supports all the keyword
         arguments of :func:`~matplotlib.pyplot.plot` and
         :meth:`matplotlib.axes.Axes.set_xscale` /
@@ -1702,7 +1692,7 @@ def acorr(self, x, **kwargs):
           - `b` is the x-axis.
 
         Other parameters
-        -----------------
+        ----------------
         linestyle : `~matplotlib.lines.Line2D` prop, optional, default: None
             Only used if usevlines is False.
 
@@ -1766,7 +1756,7 @@ def xcorr(self, x, y, normed=True, detrend=mlab.detrend_none,
           - `b` is the x-axis (none, if plot is used).
 
         Other parameters
-        -----------------
+        ----------------
         linestyle : `~matplotlib.lines.Line2D` prop, optional, default: None
             Only used if usevlines is False.
 
@@ -2231,7 +2221,7 @@ def barh(self, bottom, width, height=0.8, left=None, **kwargs):
             the x coordinates of the left sides of the bars
 
         Returns
-        --------
+        -------
         `matplotlib.patches.Rectangle` instances.
 
         Other parameters
@@ -2304,10 +2294,6 @@ def broken_barh(self, xranges, yrange, **kwargs):
         """
         Plot horizontal bars.
 
-        Call signature::
-
-          broken_barh(self, xranges, yrange, **kwargs)
-
         A collection of horizontal bars spanning *yrange* with a sequence of
         *xranges*.
 
@@ -2494,15 +2480,6 @@ def pie(self, x, explode=None, labels=None, colors=None,
         r"""
         Plot a pie chart.
 
-        Call signature::
-
-          pie(x, explode=None, labels=None,
-              colors=None,
-              autopct=None, pctdistance=0.6, shadow=False,
-              labeldistance=1.1, startangle=None, radius=None,
-              counterclock=True, wedgeprops=None, textprops=None,
-              center = (0, 0), frame = False )
-
         Make a pie chart of array *x*.  The fractional area of each
         wedge is given by x/sum(x).  If sum(x) <= 1, then the values
         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,
         """
         Make a box and whisker plot.
 
-        Call signature::
-
-          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, autorange=False, zorder=None):
-
         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.
@@ -3421,15 +3387,6 @@ def bxp(self, bxpstats, positions=None, widths=None, vert=True,
         """
         Drawing function for box and whisker plots.
 
-        Call signature::
-
-          bxp(self, bxpstats, positions=None, widths=None, vert=True,
-              patch_artist=False, shownotches=False, showmeans=False,
-              showcaps=True, showbox=True, showfliers=True,
-              boxprops=None, whiskerprops=None, flierprops=None,
-              medianprops=None, capprops=None, meanprops=None,
-              meanline=False, manage_xticks=True, zorder=None):
-
         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.
@@ -4900,10 +4857,6 @@ def fill_betweenx(self, y, x1, x2=0, where=None,
         """
         Make filled polygons between two horizontal curves.
 
-        Call signature::
-
-          fill_betweenx(y, x1, x2=0, where=None, **kwargs)
-
         Create a :class:`~matplotlib.collections.PolyCollection`
         filling the regions between *x1* and *x2* where
         ``where==True``
@@ -5034,7 +4987,7 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
         Display an image on the axes.
 
         Parameters
-        -----------
+        ----------
         X : array_like, shape (n, m) or (n, m, 3) or (n, m, 4)
             Display the image in `X` to current axes.  `X` may be an
             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,
             when interpolation is one of: 'sinc', 'lanczos' or 'blackman'
 
         Returns
-        --------
+        -------
         image : `~matplotlib.image.AxesImage`
 
         Other parameters
@@ -6528,7 +6481,7 @@ def hist2d(self, x, y, bins=10, range=None, normed=False, weights=None,
         The return value is ``(counts, xedges, yedges, Image)``.
 
         Other parameters
-        -----------------
+        ----------------
         kwargs : :meth:`pcolorfast` properties.
 
         See also
@@ -7066,12 +7019,6 @@ def cohere(self, x, y, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none,
         """
         Plot the coherence between *x* and *y*.
 
-        Call signature::
-
-          cohere(x, y, NFFT=256, Fs=2, Fc=0, detrend = mlab.detrend_none,
-                 window = mlab.window_hanning, noverlap=0, pad_to=None,
-                 sides='default', scale_by_freq=None, **kwargs)
-
         Plot the coherence between *x* and *y*.  Coherence is the
         normalized cross spectral density:
 
@@ -7448,13 +7395,8 @@ def matshow(self, Z, **kwargs):
     def violinplot(self, dataset, positions=None, vert=True, widths=0.5,
                    showmeans=False, showextrema=True, showmedians=False,
                    points=100, bw_method=None):
-        """Make a violin plot.
-
-        Call signature::
-
-          violinplot(dataset, positions=None, vert=True, widths=0.5,
-                     showmeans=False, showextrema=True, showmedians=False,
-                     points=100, bw_method=None):
+        """
+        Make a violin plot.
 
         Make a violin plot for each column of *dataset* or each vector in
         sequence *dataset*.  Each filled area extends to represent the
@@ -7553,11 +7495,6 @@ def violin(self, vpstats, positions=None, vert=True, widths=0.5,
                showmeans=False, showextrema=True, showmedians=False):
         """Drawing function for violin plots.
 
-        Call signature::
-
-          violin(vpstats, positions=None, vert=True, widths=0.5,
-                 showmeans=False, showextrema=True, showmedians=False):
-
         Draw a violin plot for each column of `vpstats`. Each filled area
         extends to represent the entire data range, with optional lines at the
         mean, the median, the minimum, and the maximum.
diff --git a/lib/matplotlib/axes/_base.py b/lib/matplotlib/axes/_base.py
index ce216d87d56c..0ea1819161fb 100644
--- a/lib/matplotlib/axes/_base.py
+++ b/lib/matplotlib/axes/_base.py
@@ -1189,11 +1189,8 @@ def ishold(self):
         return self._hold
 
     def hold(self, b=None):
-        """Set the hold state
-
-        Call signature::
-
-          hold(b=None)
+        """
+        Set the hold state
 
         If *hold* is *None* (default), toggle the *hold* state.  Else
         set the *hold* state to boolean value *b*.
@@ -2454,10 +2451,6 @@ def grid(self, b=None, which='major', axis='both', **kwargs):
         """
         Turn the axes grids on or off.
 
-        Call signature::
-
-           grid(self, b=None, which='major', axis='both', **kwargs)
-
         Set the axes grids on or off; *b* is a boolean.  (For MATLAB
         compatibility, *b* may also be a string, 'on' or 'off'.)
 
@@ -2788,12 +2781,7 @@ def get_xlim(self):
         return tuple(self.viewLim.intervalx)
 
     def set_xlim(self, left=None, right=None, emit=True, auto=False, **kw):
-        """Set the data limits for the xaxis
-
-        Call signature::
-
-          set_xlim(self, *args, **kwargs):
-
+        """
         Set the data limits for the xaxis
 
         Examples::
@@ -2887,11 +2875,8 @@ def get_xscale(self):
 
     @docstring.dedent_interpd
     def set_xscale(self, value, **kwargs):
-        """Set the x-axis scale
-
-        Call signature::
-
-          set_xscale(value)
+        """
+        Set the x-axis scale
 
         Set the scaling of the x-axis: %(scale)s
 
@@ -2970,14 +2955,10 @@ def get_xticklabels(self, minor=False, which=None):
 
     @docstring.dedent_interpd
     def set_xticklabels(self, labels, fontdict=None, minor=False, **kwargs):
-        """Set the xtick labels with list of strings *labels*
-
-        Call signature::
-
-          set_xticklabels(labels, fontdict=None, minor=False, **kwargs)
+        """
+        Set the xtick labels with list of strings *labels*
 
-        Return a
-        list of axis text instances.
+        Return a list of axis text instances.
 
         *kwargs* set the :class:`~matplotlib.text.Text` properties.
         Valid properties are
@@ -3049,11 +3030,8 @@ def get_ylim(self):
         return tuple(self.viewLim.intervaly)
 
     def set_ylim(self, bottom=None, top=None, emit=True, auto=False, **kw):
-        """Set the data limits for the yaxis
-
-        Call signature::
-
-          set_ylim(self, *args, **kwargs):
+        """
+        Set the data limits for the yaxis
 
         Examples::
 
@@ -3149,10 +3127,6 @@ def get_yscale(self):
     def set_yscale(self, value, **kwargs):
         """Set the y-axis scale
 
-        Call signature::
-
-          set_yscale(value)
-
         Set the scaling of the y-axis: %(scale)s
 
         ACCEPTS: [%(scale)s]
@@ -3233,14 +3207,10 @@ def get_yticklabels(self, minor=False, which=None):
 
     @docstring.dedent_interpd
     def set_yticklabels(self, labels, fontdict=None, minor=False, **kwargs):
-        """Set the y tick labels with list of strings *labels*
-
-        Call signature::
-
-          set_yticklabels(labels, fontdict=None, minor=False, **kwargs)
+        """
+        Set the y tick labels with list of strings *labels*
 
-        Return a list of
-        :class:`~matplotlib.text.Text` instances.
+        Return a list of :class:`~matplotlib.text.Text` instances.
 
         *kwargs* set :class:`~matplotlib.text.Text` properties for the labels.
         Valid properties are
@@ -3781,11 +3751,8 @@ def _make_twin_axes(self, *kl, **kwargs):
         return ax2
 
     def twinx(self):
-        """Create a twin Axes sharing the xaxis
-
-        Call signature::
-
-          ax = twinx()
+        """
+        Create a twin Axes sharing the xaxis
 
         create a twin of Axes for generating a plot with a sharex
         x-axis but independent y axis.  The y-axis of self will have
@@ -3807,11 +3774,8 @@ def twinx(self):
         return ax2
 
     def twiny(self):
-        """Create a twin Axes sharing the yaxis
-
-        Call signature::
-
-          ax = twiny()
+        """
+        Create a twin Axes sharing the yaxis
 
         create a twin of Axes for generating a plot with a shared
         y-axis but independent x axis.  The x-axis of self will have
diff --git a/lib/matplotlib/backend_bases.py b/lib/matplotlib/backend_bases.py
index 3424caac1a6a..316dbc6ce2fd 100644
--- a/lib/matplotlib/backend_bases.py
+++ b/lib/matplotlib/backend_bases.py
@@ -2429,10 +2429,6 @@ def start_event_loop_default(self, timeout=0):
         functions for each of the GUI backends can be written.  As
         such, it throws a deprecated warning.
 
-        Call signature::
-
-            start_event_loop_default(self,timeout=0)
-
         This call blocks until a callback function triggers
         stop_event_loop() or *timeout* is reached.  If *timeout* is
         <=0, never timeout.
@@ -2457,9 +2453,6 @@ def stop_event_loop_default(self):
         loop so that interactive functions, such as ginput and
         waitforbuttonpress, can wait for events.
 
-        Call signature::
-
-          stop_event_loop_default(self)
         """
         self._looping = False
 
diff --git a/lib/matplotlib/backend_managers.py b/lib/matplotlib/backend_managers.py
index efd289ff7572..57c35ef9ec4e 100644
--- a/lib/matplotlib/backend_managers.py
+++ b/lib/matplotlib/backend_managers.py
@@ -79,7 +79,7 @@ def toolmanager_connect(self, s, func):
         Connect event with string *s* to *func*.
 
         Parameters
-        -----------
+        ----------
         s : String
             Name of the event
 
@@ -138,7 +138,7 @@ def get_tool_keymap(self, name):
             Name of the Tool
 
         Returns
-        ----------
+        -------
         list : list of keys associated with the Tool
         """
 
@@ -379,7 +379,7 @@ def get_tool(self, name, warn=True):
         Return the tool object, also accepts the actual tool for convenience
 
         Parameters
-        -----------
+        ----------
         name : str, ToolBase
             Name of the tool, or the tool itself
         warn : bool, optional
diff --git a/lib/matplotlib/backends/backend_wx.py b/lib/matplotlib/backends/backend_wx.py
index 697b7f0495c2..4ab049aa0b8d 100644
--- a/lib/matplotlib/backends/backend_wx.py
+++ b/lib/matplotlib/backends/backend_wx.py
@@ -770,10 +770,6 @@ def start_event_loop(self, timeout=0):
         confused with the main GUI event loop, which is always running
         and has nothing to do with this.
 
-        Call signature::
-
-        start_event_loop(self,timeout=0)
-
         This call blocks until a callback function triggers
         stop_event_loop() or *timeout* is reached.  If *timeout* is
         <=0, never timeout.
@@ -799,9 +795,6 @@ def stop_event_loop(self, event=None):
         loop so that interactive functions, such as ginput and
         waitforbuttonpress, can wait for events.
 
-        Call signature::
-
-        stop_event_loop_default(self)
         """
         if hasattr(self, '_event_loop'):
             if self._event_loop.IsRunning():
diff --git a/lib/matplotlib/cbook.py b/lib/matplotlib/cbook.py
index 80ae2ed60fce..1f7d2bede048 100644
--- a/lib/matplotlib/cbook.py
+++ b/lib/matplotlib/cbook.py
@@ -86,7 +86,7 @@ def warn_deprecated(
     Used to display deprecation warning in a standard way.
 
     Parameters
-    ------------
+    ----------
     since : str
         The release at which this API became deprecated.
 
@@ -143,7 +143,7 @@ def deprecated(since, message='', name='', alternative='', pending=False,
     Decorator to mark a function as deprecated.
 
     Parameters
-    ------------
+    ----------
     since : str
         The release at which this API became deprecated.  This is
         required.
@@ -599,7 +599,7 @@ def local_over_kwdict(local_var, kwargs, *keys):
     kwargs dict in place.
 
     Parameters
-    ------------
+    ----------
         local_var: any object
             The local variable (highest priority)
 
@@ -611,12 +611,12 @@ def local_over_kwdict(local_var, kwargs, *keys):
             priority
 
     Returns
-    ---------
+    -------
         out: any object
             Either local_var or one of kwargs[key] for key in keys
 
     Raises
-    --------
+    ------
         IgnoredKeywordWarning
             For each key in keys that is removed from kwargs but not used as
             the output value
diff --git a/lib/matplotlib/colorbar.py b/lib/matplotlib/colorbar.py
index 4f11171c0c48..a7c6c97249fe 100644
--- a/lib/matplotlib/colorbar.py
+++ b/lib/matplotlib/colorbar.py
@@ -1025,9 +1025,7 @@ def make_axes(parents, location=None, orientation=None, fraction=0.15,
               shrink=1.0, aspect=20, **kw):
     '''
     Resize and reposition parent axes, and return a child
-    axes suitable for a colorbar::
-
-        cax, kw = make_axes(parent, **kw)
+    axes suitable for a colorbar.
 
     Keyword arguments may include the following (with defaults):
 
@@ -1161,9 +1159,7 @@ def make_axes_gridspec(parent, **kw):
         of the parent with a new one.
 
     While this function is meant to be compatible with *make_axes*,
-    there could be some minor differences.::
-
-        cax, kw = make_axes_gridspec(parent, **kw)
+    there could be some minor differences.
 
     Keyword arguments may include the following (with defaults):
 
diff --git a/lib/matplotlib/contour.py b/lib/matplotlib/contour.py
index 0b273e99fc32..8fdcd8fd21d5 100644
--- a/lib/matplotlib/contour.py
+++ b/lib/matplotlib/contour.py
@@ -1335,11 +1335,6 @@ def find_nearest_contour(self, x, y, indices=None, pixel=True):
         Returns a tuple containing the contour, segment, index of
         segment, x & y of segment point and distance to minimum point.
 
-        Call signature::
-
-          conmin,segmin,imin,xmin,ymin,dmin = find_nearest_contour(
-                     self, x, y, indices=None, pixel=True )
-
         Optional keyword arguments:
 
           *indices*:
diff --git a/lib/matplotlib/figure.py b/lib/matplotlib/figure.py
index 7b5a355c644f..b66ad8e33ea0 100644
--- a/lib/matplotlib/figure.py
+++ b/lib/matplotlib/figure.py
@@ -1627,11 +1627,6 @@ def subplots_adjust(self, *args, **kwargs):
     def ginput(self, n=1, timeout=30, show_clicks=True, mouse_add=1,
                mouse_pop=3, mouse_stop=2):
         """
-        Call signature::
-
-          ginput(self, n=1, timeout=30, show_clicks=True,
-                 mouse_add=1, mouse_pop=3, mouse_stop=2)
-
         Blocking call to interact with the figure.
 
         This will wait for *n* clicks from the user and return a list of the
@@ -1666,10 +1661,6 @@ def ginput(self, n=1, timeout=30, show_clicks=True, mouse_add=1,
 
     def waitforbuttonpress(self, timeout=-1):
         """
-        Call signature::
-
-          waitforbuttonpress(self, timeout=-1)
-
         Blocking call to interact with the figure.
 
         This will return True is a key was pressed, False if a mouse
diff --git a/lib/matplotlib/lines.py b/lib/matplotlib/lines.py
index 207d374471e9..e29bda464081 100644
--- a/lib/matplotlib/lines.py
+++ b/lib/matplotlib/lines.py
@@ -1161,7 +1161,7 @@ def set_marker(self, marker):
         ACCEPTS: :mod:`A valid marker style <matplotlib.markers>`
 
         Parameters
-        -----------
+        ----------
 
         marker: marker style
             See `~matplotlib.markers` for full description of possible
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 3a9ad634ec10..d5cae06e647f 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -4,7 +4,7 @@
 commands with the same names.
 
 MATLAB compatible functions
--------------------------------
+---------------------------
 
 :func:`cohere`
     Coherence (normalized cross spectral density)
@@ -39,7 +39,7 @@
     Spectrogram (spectrum over segments of time)
 
 Miscellaneous functions
--------------------------
+-----------------------
 
 Functions that don't exist in MATLAB, but are useful anyway:
 
@@ -99,7 +99,7 @@
 
 
 record array helper functions
--------------------------------
+-----------------------------
 
 A collection of helper methods for numpyrecord arrays
 
@@ -192,9 +192,6 @@ def logspace(xmin, xmax, N):
     '''
     Return N values logarithmically spaced between xmin and xmax.
 
-    Call signature::
-
-        logspace(xmin, xmax, N)
     '''
     return np.exp(np.linspace(np.log(xmin), np.log(xmax), N))
 
@@ -203,9 +200,6 @@ def _norm(x):
     '''
     Return sqrt(x dot x).
 
-    Call signature::
-
-        _norm(x)
     '''
     return np.sqrt(np.dot(x, x))
 
@@ -214,10 +208,6 @@ def window_hanning(x):
     '''
     Return x times the hanning window of len(x).
 
-    Call signature::
-
-        window_hanning(x)
-
     .. seealso::
 
         :func:`window_none`
@@ -230,10 +220,6 @@ def window_none(x):
     '''
     No window function; simply return x.
 
-    Call signature::
-
-        window_none(x)
-
     .. seealso::
 
         :func:`window_hanning`
@@ -246,10 +232,6 @@ def apply_window(x, window, axis=0, return_window=None):
     '''
     Apply the given window to the given 1D or 2D array along the given axis.
 
-    Call signature::
-
-        apply_window(x, window, axis=0, return_window=False)
-
       *x*: 1D or 2D array or sequence
         Array or sequence containing the data.
 
@@ -304,10 +286,6 @@ def detrend(x, key=None, axis=None):
     '''
     Return x with its trend removed.
 
-    Call signature::
-
-        detrend(x, key='mean')
-
       *x*: array or sequence
         Array or sequence containing the data.
 
@@ -369,10 +347,6 @@ def demean(x, axis=0):
     '''
     Return x minus its mean along the specified axis.
 
-    Call signature::
-
-        demean(x, axis=0)
-
       *x*: array or sequence
         Array or sequence containing the data
         Can have any dimensionality
@@ -399,10 +373,6 @@ def detrend_mean(x, axis=None):
     '''
     Return x minus the mean(x).
 
-    Call signature::
-
-        detrend_mean(x, axis=None)
-
       *x*: array or sequence
         Array or sequence containing the data
         Can have any dimensionality
@@ -448,10 +418,6 @@ def detrend_none(x, axis=None):
     '''
     Return x: no detrending.
 
-    Call signature::
-
-        detrend_none(x, axis=None)
-
       *x*: any object
         An object containing the data
 
@@ -481,10 +447,6 @@ def detrend_linear(y):
     '''
     Return x minus best fit line; 'linear' detrending.
 
-    Call signature::
-
-        detrend_linear(y)
-
       *y*: 0-D or 1-D array or sequence
         Array or sequence containing the data
 
@@ -537,10 +499,6 @@ def stride_windows(x, n, noverlap=None, axis=0):
         elements may point to the same piece of memory,
         so modifying one value may change others.
 
-    Call signature::
-
-        stride_windows(x, n, noverlap=0)
-
       *x*: 1D array or sequence
         Array or sequence containing the data.
 
@@ -606,10 +564,6 @@ def stride_repeat(x, n, axis=0):
         elements may point to the same piece of memory, so
         modifying one value may change others.
 
-    Call signature::
-
-        stride_repeat(x, n, axis=0)
-
       *x*: 1D array or sequence
         Array or sequence containing the data.
 
@@ -1381,10 +1335,6 @@ def cohere_pairs(X, ij, NFFT=256, Fs=2, detrend=detrend_none,
                  returnPxx=False):
 
     """
-    Call signature::
-
-      Cxy, Phase, freqs = cohere_pairs( X, ij, ...)
-
     Compute the coherence and phase for all pairs *ij*, in *X*.
 
     *X* is a *numSamples* * *numCols* array
@@ -3629,9 +3579,6 @@ class GaussianKDE(object):
     """
     Representation of a kernel-density estimate using Gaussian kernels.
 
-    Call signature::
-    kde = GaussianKDE(dataset, bw_method='silverman')
-
     Parameters
     ----------
     dataset : array_like
diff --git a/lib/matplotlib/pyplot.py b/lib/matplotlib/pyplot.py
index 221a1a8de2e0..e8e88dc7074c 100644
--- a/lib/matplotlib/pyplot.py
+++ b/lib/matplotlib/pyplot.py
@@ -920,7 +920,7 @@ def gca(**kwargs):
     current figure matching the given keyword args, or create one.
 
     Examples
-    ---------
+    --------
     To get the current polar axes on the current figure::
 
         plt.gca(projection='polar')
diff --git a/lib/matplotlib/testing/decorators.py b/lib/matplotlib/testing/decorators.py
index 88d712f8c5db..6c5919110e58 100644
--- a/lib/matplotlib/testing/decorators.py
+++ b/lib/matplotlib/testing/decorators.py
@@ -270,10 +270,6 @@ def image_comparison(baseline_images=None, extensions=None, tol=0,
                      freetype_version=None, remove_text=False,
                      savefig_kwarg=None, style='classic'):
     """
-    call signature::
-
-      image_comparison(baseline_images=['my_figure'], extensions=None)
-
     Compare images generated by the test with those specified in
     *baseline_images*, which must correspond else an
     ImageComparisonFailure exception will be raised.
diff --git a/lib/matplotlib/tri/triinterpolate.py b/lib/matplotlib/tri/triinterpolate.py
index 1e53e7dbf398..f907e642f423 100644
--- a/lib/matplotlib/tri/triinterpolate.py
+++ b/lib/matplotlib/tri/triinterpolate.py
@@ -1334,14 +1334,14 @@ def _cg(A, b, x0=None, tol=1.e-10, maxiter=1000):
         Right hand side of the linear system.
 
     Returns
-    ----------
+    -------
     x: array.
         The converged solution.
     err: float
         The absolute error np.linalg.norm(A.dot(x) - b)
 
     Other parameters
-    ----------
+    ----------------
     x0: array.
         Starting guess for the solution.
     tol: float.
diff --git a/lib/mpl_toolkits/axes_grid1/parasite_axes.py b/lib/mpl_toolkits/axes_grid1/parasite_axes.py
index c9f4869a4357..b1e241c16baa 100644
--- a/lib/mpl_toolkits/axes_grid1/parasite_axes.py
+++ b/lib/mpl_toolkits/axes_grid1/parasite_axes.py
@@ -308,10 +308,6 @@ def cla(self):
 
     def twinx(self, axes_class=None):
         """
-        call signature::
-
-          ax2 = ax.twinx()
-
         create a twin of Axes for generating a plot with a sharex
         x-axis but independent y axis.  The y-axis of self will have
         ticks on left and the returned axes will have ticks on the
@@ -342,10 +338,6 @@ def twinx(self, axes_class=None):
 
     def twiny(self, axes_class=None):
         """
-        call signature::
-
-          ax2 = ax.twiny()
-
         create a twin of Axes for generating a plot with a shared
         y-axis but independent x axis.  The x-axis of self will have
         ticks on bottom and the returned axes will have ticks on the
@@ -375,10 +367,6 @@ def twiny(self, axes_class=None):
 
     def twin(self, aux_trans=None, axes_class=None):
         """
-        call signature::
-
-          ax2 = ax.twin()
-
         create a twin of Axes for generating a plot with a sharex
         x-axis but independent y axis.  The y-axis of self will have
         ticks on left and the returned axes will have ticks on the
diff --git a/lib/mpl_toolkits/mplot3d/axes3d.py b/lib/mpl_toolkits/mplot3d/axes3d.py
index 883fcecba46d..ecc53b69d0ea 100644
--- a/lib/mpl_toolkits/mplot3d/axes3d.py
+++ b/lib/mpl_toolkits/mplot3d/axes3d.py
@@ -799,10 +799,6 @@ def set_yscale(self, value, **kwargs) :
     @docstring.dedent_interpd
     def set_zscale(self, value, **kwargs) :
         """
-        call signature::
-
-          set_zscale(value)
-
         Set the scaling of the z-axis: %(scale)s
 
         ACCEPTS: [%(scale)s]