Fixed documentation of bounds format

examples/reference/elements/bokeh/HSV.ipynb

@@ -36,7 +36,7 @@
     "\n",
     "    HSV(Z, bounds=(x0, y0, x1, y1))\n",
     "\n",
-    "where ``Z`` is a 3D array of stacked ``H``/``S``/``V`` arrays with shape ``NxMx3/4`` and the bounds define the (left, bottom, top, right) edges of the four corners of the grid. Other gridded formats which support declaring of explicit x/y-coordinate arrays such as xarray are also supported. See the [Gridded Datasets](../../../user_guide/08-Gridded_Datasets.ipynb) user guide for all the other accepted data formats."
+    "where ``Z`` is a 3D array of stacked ``H``/``S``/``V`` arrays with shape ``NxMx3/4`` and the bounds define the (left, bottom, right, top) edges of the four corners of the grid. Other gridded formats which support declaring of explicit x/y-coordinate arrays such as xarray are also supported. See the [Gridded Datasets](../../../user_guide/08-Gridded_Datasets.ipynb) user guide for all the other accepted data formats."
    ]
   },
   {

examples/reference/elements/bokeh/Image.ipynb

@@ -36,7 +36,7 @@
     "\n",
     "    Image(Z, bounds=(x0, y0, x1, y1))\n",
     "\n",
-    "where ``Z`` is a 2D array of shape ``NxM`` defining the intensity values and the bounds define the (left, bottom, top, right) edges of four corners of the grid. Other gridded formats which support declaring of explicit x/y-coordinate arrays such as xarray are also supported. See the [Gridded Datasets](../../../user_guide/08-Gridded_Datasets.ipynb) user guide for all the other accepted data formats."
+    "where ``Z`` is a 2D array of shape ``NxM`` defining the intensity values and the bounds define the (left, bottom, right, top) edges of four corners of the grid. Other gridded formats which support declaring of explicit x/y-coordinate arrays such as xarray are also supported. See the [Gridded Datasets](../../../user_guide/08-Gridded_Datasets.ipynb) user guide for all the other accepted data formats."
    ]
   },
   {
@@ -48,7 +48,7 @@
     "ls = np.linspace(0, 10, 200)\n",
     "xx, yy = np.meshgrid(ls, ls)\n",
     "\n",
-    "bounds=(-1,-1,1,1)   # Coordinate system: (left, bottom, top, right)\n",
+    "bounds=(-1,-1,1,1)   # Coordinate system: (left, bottom, right, top)\n",
     "img = hv.Image(np.sin(xx)*np.cos(yy), bounds=bounds)\n",
     "img"
    ]

examples/reference/elements/bokeh/RGB.ipynb

@@ -36,7 +36,7 @@
     "\n",
     "    RGB(Z, bounds=(x0, y0, x1, y1))\n",
     "\n",
-    "where Z is a 3D array of stacked R/G/B arrays with shape NxMx3/4 and the bounds define the (left, bottom, top, right) edges of the four corners of the grid. Other gridded formats which support declaring of explicit x/y-coordinate arrays such as xarray are also supported. See the [Gridded Datasets](../../../user_guide/08-Gridded_Datasets.ipynb) user guide for all the other accepted data formats.\n",
+    "where Z is a 3D array of stacked R/G/B arrays with shape NxMx3/4 and the bounds define the (left, bottom, right, top) edges of the four corners of the grid. Other gridded formats which support declaring of explicit x/y-coordinate arrays such as xarray are also supported. See the [Gridded Datasets](../../../user_guide/08-Gridded_Datasets.ipynb) user guide for all the other accepted data formats.\n",
     "\n",
     "One of the simplest ways of creating an ``RGB`` element is to load an image file (such as PNG) off disk, using the ``load_image`` classmethod:"
    ]

examples/reference/elements/matplotlib/HSV.ipynb

@@ -36,7 +36,7 @@
     "\n",
     "    HSV(Z, bounds=(x0, y0, x1, y1))\n",
     "\n",
-    "where ``Z`` is a 3D array of stacked ``H``/``S``/``V`` arrays with shape ``NxMx3/4`` and the bounds define the (left, bottom, top, right) edges of the four corners of the grid. Other gridded formats which support declaring of explicit x/y-coordinate arrays such as xarray are also supported. See the [Gridded Datasets](../../../user_guide/08-Gridded_Datasets.ipynb) user guide for all the other accepted data formats."
+    "where ``Z`` is a 3D array of stacked ``H``/``S``/``V`` arrays with shape ``NxMx3/4`` and the bounds define the (left, bottom, right, top) edges of the four corners of the grid. Other gridded formats which support declaring of explicit x/y-coordinate arrays such as xarray are also supported. See the [Gridded Datasets](../../../user_guide/08-Gridded_Datasets.ipynb) user guide for all the other accepted data formats."
    ]
   },
   {

examples/reference/elements/matplotlib/Image.ipynb

@@ -36,7 +36,7 @@
     "\n",
     "    Image(Z, bounds=(x0, y0, x1, y1))\n",
     "\n",
-    "where ``Z`` is a 2D array of shape ``NxM`` defining the intensity values and the bounds define the (left, bottom, top, right) edges of four corners of the grid. Other gridded formats which support declaring of explicit x/y-coordinate arrays such as xarray are also supported. See the [Gridded Datasets](../../../user_guide/08-Gridded_Datasets.ipynb) user guide for all the other accepted data formats."
+    "where ``Z`` is a 2D array of shape ``NxM`` defining the intensity values and the bounds define the (left, bottom, right, top) edges of four corners of the grid. Other gridded formats which support declaring of explicit x/y-coordinate arrays such as xarray are also supported. See the [Gridded Datasets](../../../user_guide/08-Gridded_Datasets.ipynb) user guide for all the other accepted data formats."
    ]
   },
   {
@@ -48,7 +48,7 @@
     "ls = np.linspace(0, 10, 200)\n",
     "xx, yy = np.meshgrid(ls, ls)\n",
     "\n",
-    "bounds=(-1,-1,1,1)   # Coordinate system: (left, bottom, top, right)\n",
+    "bounds=(-1,-1,1,1)   # Coordinate system: (left, bottom, right, top)\n",
     "img = hv.Image(np.sin(xx)*np.cos(yy), bounds=bounds)\n",
     "img"
    ]

examples/reference/elements/matplotlib/RGB.ipynb

@@ -36,7 +36,7 @@
     "\n",
     "    RGB(Z, bounds=(x0, y0, x1, y1))\n",
     "\n",
-    "where Z is a 3D array of stacked R/G/B arrays with shape NxMx3/4 and the bounds define the (left, bottom, top, right) edges of the four corners of the grid. Other gridded formats which support declaring of explicit x/y-coordinate arrays such as xarray are also supported. See the [Gridded Datasets](../../../user_guide/08-Gridded_Datasets.ipynb) user guide for all the other accepted data formats.\n",
+    "where Z is a 3D array of stacked R/G/B arrays with shape NxMx3/4 and the bounds define the (left, bottom, right, top) edges of the four corners of the grid. Other gridded formats which support declaring of explicit x/y-coordinate arrays such as xarray are also supported. See the [Gridded Datasets](../../../user_guide/08-Gridded_Datasets.ipynb) user guide for all the other accepted data formats.\n",
     "\n",
     "One of the simplest ways of creating an ``RGB`` element is to load an image file (such as PNG) off disk, using the ``load_image`` classmethod:"
    ]

examples/reference/elements/plotly/Image.ipynb

@@ -40,7 +40,7 @@
     "ls = np.linspace(0, 10, 200)\n",
     "xx, yy = np.meshgrid(ls, ls)\n",
     "\n",
-    "bounds=(-1,-1,1,1)   # Coordinate system: (left, bottom, top, right)\n",
+    "bounds=(-1,-1,1,1)   # Coordinate system: (left, bottom, right, top)\n",
     "img = hv.Image(np.sin(xx)*np.cos(yy), bounds=bounds)\n",
     "img"
    ]

examples/user_guide/Styling_Plots.ipynb

@@ -210,7 +210,7 @@
    "source": [
     "ls = np.linspace(0, 10, 400)\n",
     "xx, yy = np.meshgrid(ls, ls)\n",
-    "bounds=(-1,-1,1,1)   # Coordinate system: (left, bottom, top, right)\n",
+    "bounds=(-1,-1,1,1)   # Coordinate system: (left, bottom, right, top)\n",
     "img = hv.Image(np.sin(xx)*np.cos(yy), bounds=bounds).options(colorbar=True, width=400)\n",
     "\n",
     "img.options(cmap='PiYG') + img.options(cmap='PiYG_r')"