Fixed some references and absolute links that were broken

Author: daexs

doc/python/axes.md

@@ -33,16 +33,16 @@ jupyter:
     thumbnail: thumbnail/axes.png
 ---
 
-This tutorial explain how to set the properties of [2-dimensional Cartesian axes](figure-structure.md#2d-cartesian-trace-types-and-subplots), namely [`go.layout.XAxis`](/reference/layout/xaxis.md) and [`go.layout.YAxis`](/reference/layout/xaxis.md).
+This tutorial explain how to set the properties of [2-dimensional Cartesian axes](figure-structure.md#2d-cartesian-trace-types-and-subplots), namely [`go.layout.XAxis`](../reference/plotly/graph_objects/layout/_xaxis.md) and [`go.layout.YAxis`](../reference/plotly/graph_objects/layout/_yaxis.md).
 
 Other kinds of subplots and axes are described in other tutorials:
 
-- [3D axes](3d-axes.md) The axis object is [`go.layout.Scene`](/reference/layout/scene.md)
-- [Polar axes](polar-chart.md). The axis object is [`go.layout.Polar`](/reference/layout/polar.md)
-- [Ternary axes](ternary-plots.md). The axis object is [`go.layout.Ternary`](/reference/layout/ternary.md)
-- [Geo axes](map-configuration.md). The axis object is [`go.layout.Geo`](/reference/layout/geo.md)
-- [Map axes](tile-map-layers.md). The axis object is [`go.layout.Map`](/reference/layout/map.md)
-- [Color axes](colorscales.md). The axis object is [`go.layout.Coloraxis`](/reference/layout/coloraxis.md).
+- [3D axes](3d-axes.md) The axis object is [`go.layout.Scene`](../reference/plotly/graph_objects/layout/_scene.md)
+- [Polar axes](polar-chart.md). The axis object is [`go.layout.Polar`](../reference/plotly/graph_objects/layout/_polar.md)
+- [Ternary axes](ternary-plots.md). The axis object is [`go.layout.Ternary`](../reference/plotly/graph_objects/layout/_ternary.md)
+- [Geo axes](map-configuration.md). The axis object is [`go.layout.Geo`](../reference/plotly/graph_objects/layout/_geo.md)
+- [Map axes](tile-map-layers.md). The axis object is [`go.layout.Map`](../reference/plotly/graph_objects/layout/_map.md)
+- [Color axes](colorscales.md). The axis object is [`go.layout.Coloraxis`](../reference/plotly/graph_objects/layout/_coloraxis.md).
 
 **See also** the tutorials on [facet plots](facet-plots.md), [subplots](subplots.md) and [multiple axes](multiple-axes.md).
 

doc/python/colorscales.md

@@ -226,7 +226,7 @@ fig.show()
 
 ### Hiding or Customizing the Plotly Express Color Bar
 
-Plotly Express binds all traces to [`layout.coloraxis`](/reference/layout/coloraxis.md), rather than using trace-specific color axes. This means that the color bar can configured there, for example it can be hidden:
+Plotly Express binds all traces to [`layout.coloraxis`](../reference/plotly/graph_objects/layout/_coloraxis.md), rather than using trace-specific color axes. This means that the color bar can configured there, for example it can be hidden:
 
 ```python
 import plotly.express as px

doc/python/plotly-express.md

@@ -71,7 +71,7 @@ The Plotly Express API in general offers the following features:
 * **A single entry point into `plotly`**: just `import plotly.express as px` and get access to [all the plotting functions](https://plotly.com/python-api-reference/plotly.express.html), plus [built-in demo datasets under `px.data`](https://plotly.com/python-api-reference/generated/plotly.data.html#module-plotly.data) and [built-in color scales and sequences under `px.color`](https://plotly.com/python-api-reference/generated/plotly.colors.html#module-plotly.colors). Every PX function returns a `plotly.graph_objects.Figure` object, so you can edit it using all the same methods like [`update_layout` and `add_trace`](https://plotly.com/python/creating-and-updating-figures/#updating-figures).
 * **Sensible, Overridable Defaults**: PX functions will infer sensible defaults wherever possible, and will always let you override them.
 * **Flexible Input Formats**: PX functions [accept input in a variety of formats](px-arguments.md), from `list`s and `dict`s to [long-form or wide-form `DataFrame`s](wide-form.md) to [`numpy` arrays and `xarrays`](imshow.md) to [GeoPandas `GeoDataFrames`](maps.md).
-* **Automatic Trace and Layout configuration**: PX functions will create one [trace](figure-structure) per animation frame for each unique combination of data values mapped to discrete color, symbol, line-dash, facet-row and/or facet-column. Traces' [`legendgroup` and `showlegend` attributes](https://plotly.com/python/legend.md) are set such that only one legend item appears per unique combination of discrete color, symbol and/or line-dash. Traces are automatically linked to a correctly-configured [subplot of the appropriate type](../figure-structure).
+* **Automatic Trace and Layout configuration**: PX functions will create one [trace](figure-structure.md) per animation frame for each unique combination of data values mapped to discrete color, symbol, line-dash, facet-row and/or facet-column. Traces' [`legendgroup` and `showlegend` attributes](https://plotly.com/python/legend.md) are set such that only one legend item appears per unique combination of discrete color, symbol and/or line-dash. Traces are automatically linked to a correctly-configured [subplot of the appropriate type](figure-structure.md).
 * **Automatic Figure Labelling**: PX functions [label axes, legends and colorbars](https://plotly.com/python/figure-labels/) based in the input `DataFrame` or `xarray`, and provide [extra control with the `labels` argument](styling-plotly-express.md).
 * **Automatic Hover Labels**: PX functions populate the hover-label using the labels mentioned above, and provide [extra control with the `hover_name` and `hover_data` arguments](hover-text-and-formatting.md).
 * **Styling Control**: PX functions [read styling information from the default figure template](styling-plotly-express.md), and support commonly-needed [cosmetic controls like `category_orders` and `color_discrete_map`](styling-plotly-express.md) to precisely control categorical variables.