@@ -970,11 +970,12 @@ def axhspan(self, ymin, ymax, xmin=0, xmax=1, **kwargs):
970
970
971
971
Returns
972
972
-------
973
- Polygon : `~matplotlib.patches.Polygon`
973
+ rectangle : `~matplotlib.patches.Polygon`
974
+ Horizontal span (rectangle) from (xmin, ymin) to (xmax, ymax).
974
975
975
976
Other Parameters
976
977
----------------
977
- **kwargs : `~matplotlib.patches.Polygon` properties.
978
+ **kwargs : `~matplotlib.patches.Polygon` properties
978
979
979
980
%(Polygon)s
980
981
@@ -1027,8 +1028,9 @@ def axvspan(self, xmin, xmax, ymin=0, ymax=1, **kwargs):
1027
1028
1028
1029
Other Parameters
1029
1030
----------------
1030
- **kwargs
1031
- Optional parameters are properties of the class `.Polygon`.
1031
+ **kwargs : `~matplotlib.patches.Polygon` properties
1032
+
1033
+ %(Polygon)s
1032
1034
1033
1035
See Also
1034
1036
--------
@@ -6134,7 +6136,7 @@ def pcolorfast(self, *args, alpha=None, norm=None, cmap=None, vmin=None,
6134
6136
6135
6137
ax.pcolorfast([X, Y], C, /, **kwargs)
6136
6138
6137
- This method is similar to ~.Axes.pcolor` and `~.Axes.pcolormesh`.
6139
+ This method is similar to ` ~.Axes.pcolor` and `~.Axes.pcolormesh`.
6138
6140
It's designed to provide the fastest pcolor-type plotting with the
6139
6141
Agg backend. To achieve this, it uses different algorithms internally
6140
6142
depending on the complexity of the input grid (regular rectangular,
@@ -7470,8 +7472,8 @@ def specgram(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
7470
7472
of the bins is smaller than those of the segments.
7471
7473
7472
7474
**kwargs
7473
- Additional keyword arguments are passed on to imshow which makes
7474
- the specgram image.
7475
+ Additional keyword arguments are passed on to `~.axes.Axes. imshow`
7476
+ which makes the specgram image.
7475
7477
7476
7478
Returns
7477
7479
-------
0 commit comments