Docs: Fix some broken links (#1571)

docs/usage/figure.md

@@ -2,8 +2,8 @@
 
 `Figure` API documentation can be accessed using the following links:
 
-1. [Figure](/api/figure) class
-2. [`figure`](/api/pyplot/#bqplot.pyplot.figure) method in `pyplot`
+1. [Figure](bqplot/api/figure) class
+2. [`figure`](bqplot/api/pyplot/#bqplot.pyplot.figure) method in `pyplot`
 
 In this section, we'll be focusing on pyplot API to create and configure `figure` objects.
 
@@ -17,9 +17,9 @@ fig = plt.figure()
 
 ### Attributes
 
-#### [Style Attributes](/api/figure/#bqplot.Figure--style-attributes)
+#### [Style Attributes](bqplot/api/figure/#bqplot.Figure--style-attributes)
 Style attributes can be used for styling the figure (title, backgrounds, legends) etc.
-#### [Layout Attributes](/api/figure/#bqplot.Figure--layout-attributes)
+#### [Layout Attributes](bqplot/api/figure/#bqplot.Figure--layout-attributes)
 Layout attributes can be used for controlling the dimensions and margins
 
 ### Code Examples
@@ -48,7 +48,7 @@ fig.layout.height = "500px"
 Since bqplot figures are SVG nodes any CSS styles applicable to SVG can be passed as a `dict` to the `background_style` attribute, like so:
 
 ```
-background_style = {"stroke": "blue", 
+background_style = {"stroke": "blue",
                     "fill": "red",
                     "fill-opacity": .3}
 fig = plt.figure(title="Figure", background_style=background_style)
@@ -73,4 +73,4 @@ As you can see in the image above the grey region is the figure margin.
 
 
 #### Interactions
-Refer to the [Interaction](interactions/index.md) document for more details
+Refer to the [Interaction](interactions/index.md) document for more details

docs/usage/object-model.md

@@ -4,7 +4,7 @@ Following are the core components in the `Object Model`:
 
 1. [Scales](../api/scales.md)
 2. [Marks](../api/marks.md)
-3. [Axes](../api/axes.md) 
+3. [Axes](../api/axes.md)
 4. [Figure](../api/figure.md)
 
 
@@ -13,7 +13,7 @@ The following are the steps to build a Figure in bqplot using the Object Model:
 1. Build the scales for `x` and `y` quantities using the `Scale` classes (Scales map the data into pixels in the figure)
 2. Build the marks using the `Mark` classes. Marks represent the core plotting objects (lines, scatter, bars, pies etc.). Marks take the scale objects created in step 1 as arguments
 3. Build the axes for `x` and `y` scales
-4. Finally create a figure using `Figure` class. Figure takes marks and axes as inputs. 
+4. Finally create a figure using `Figure` class. Figure takes marks and axes as inputs.
 __Figure object is a instance of `DOMWidget` and can be rendered like any other jupyter widgets__
 
 Let's look a few examples (`pyplot` usage available [here](pyplot.md)):
@@ -87,7 +87,7 @@ xax = bq.Axis(scale=xs, label="X")
 yax = bq.Axis(scale=ys, orientation="vertical", label="Y")
 
 # 3. Create a Lines and Scatter marks by passing in the scales
-# additional attributes (stroke_width, colors etc.) can be passed as attributes 
+# additional attributes (stroke_width, colors etc.) can be passed as attributes
 # to the mark objects as needed
 line = bq.Lines(x=x, y=y, scales={"x": xs, "y": ys}, colors=["green"], stroke_width=3)
 scatter = bq.Scatter(
@@ -102,7 +102,7 @@ bq.Figure(marks=[line, scatter], axes=[xax, yax], title="Scatter and Line")
 
 #### Summary
 
-__Object Model__ is a verbose but fully customizable object-oriented API for plotting. Lower level constructs like scales, axes etc. have to explicitly constructed. 
+__Object Model__ is a verbose but fully customizable object-oriented API for plotting. Lower level constructs like scales, axes etc. have to explicitly constructed.
 For detailed usage refer to the [example notebooks](https://github.com/bqplot/bqplot/tree/master/examples/Marks/Object%20Model) using `Object Model`.
 
-__Object Model__ can be used to build re-usable plotting widgets and widget libraries. More details can be found in [here]
+__Object Model__ can be used to build re-usable plotting widgets and widget libraries. More details can be found in [here]