Merge pull request #15523 from dstansby/axesim-numpydoc

NelleV · web-flow · commit 055192c56662 · 2019-10-28T15:16:43.000+01:00
numpydoc AxesImage
diff --git a/lib/matplotlib/image.py b/lib/matplotlib/image.py
@@ -216,6 +216,19 @@ def _rgb_to_rgba(A):
 
 
 class _ImageBase(martist.Artist, cm.ScalarMappable):
+    """
+    interpolation and cmap default to their rc settings
+
+    cmap is a colors.Colormap instance
+    norm is a colors.Normalize instance to map luminance to 0-1
+
+    extent is data axes (left, right, bottom, top) for making image plots
+    registered with data plots.  Default is to label the pixel
+    centers with the zero-based row and column indices.
+
+    Additional kwargs are matplotlib.artist properties
+
+    """
     zorder = 0
 
     def __init__(self, ax,
@@ -228,19 +241,6 @@ def __init__(self, ax,
                  resample=False,
                  **kwargs
                  ):
-        """
-        interpolation and cmap default to their rc settings
-
-        cmap is a colors.Colormap instance
-        norm is a colors.Normalize instance to map luminance to 0-1
-
-        extent is data axes (left, right, bottom, top) for making image plots
-        registered with data plots.  Default is to label the pixel
-        centers with the zero-based row and column indices.
-
-        Additional kwargs are matplotlib.artist properties
-
-        """
         martist.Artist.__init__(self)
         cm.ScalarMappable.__init__(self, norm, cmap)
         self._mouseover = True
@@ -820,6 +820,48 @@ def get_filterrad(self):
 
 
 class AxesImage(_ImageBase):
+    """
+    Parameters
+    ----------
+    cmap : colors.Colormap
+        The Colormap instance or registered colormap name used to map scalar
+        data to colors.
+    norm : colors.Normalize
+        Maps luminance to 0-1.
+    interpolation : str
+        Supported values are 'none', 'antialiased', 'nearest', 'bilinear',
+        'bicubic', 'spline16', 'spline36', 'hanning', 'hamming', 'hermite',
+        'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell',
+        'sinc', 'lanczos'.
+    origin : {'upper', 'lower'}
+        Place the [0, 0] index of the array in the upper left or lower left
+        corner of the axes. The convention 'upper' is typically used for
+        matrices and images.
+    extent : tuple
+        The data axes (left, right, bottom, top) for making image plots
+        registered with data plots.  Default is to label the pixel
+        centers with the zero-based row and column indices.
+    filternorm : bool
+        A parameter for the antigrain image resize filter
+        (see the antigrain documentation).
+        If filternorm is set, the filter normalizes integer values and corrects
+        the rounding errors. It doesn't do anything with the source floating
+        point values, it corrects only integers according to the rule of 1.0
+        which means that any sum of pixel weights must be equal to 1.0. So,
+        the filter function must produce a graph of the proper shape.
+    filterrad : float > 0
+        The filter radius for filters that have a radius parameter, i.e. when
+        interpolation is one of: 'sinc', 'lanczos' or 'blackman'.
+    resample : bool
+        When True, use a full resampling method. When False, only resample when
+        the output image is larger than the input image.
+    **kwargs
+        Additional kwargs are matplotlib.artist properties.
+
+    Notes
+    -----
+    interpolation and cmap default to their rc settings
+    """
     def __str__(self):
         return "AxesImage(%g,%g;%gx%g)" % tuple(self.axes.bbox.bounds)
 
@@ -834,19 +876,6 @@ def __init__(self, ax,
                  resample=False,
                  **kwargs
                  ):
-        """
-        interpolation and cmap default to their rc settings
-
-        cmap is a colors.Colormap instance
-        norm is a colors.Normalize instance to map luminance to 0-1
-
-        extent is data axes (left, right, bottom, top) for making image plots
-        registered with data plots.  Default is to label the pixel
-        centers with the zero-based row and column indices.
-
-        Additional kwargs are matplotlib.artist properties
-
-        """
 
         self._extent = extent
 
