We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
DOC: update the contextily example in the gallery
The example about adding a background map to your plot using contextily at https://geopandas.readthedocs.io/en/latest/gallery/plotting_basemap_background.html#sphx-glr-gallery-plotting-basemap-background-py can be updated with the latest contextily (https://github.com/darribas/contextily/releases/tag/v1.0rc2).

For example, the `add_basemap` function is now available in contextily itself.

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `examples/plotting_basemap_background.py`
Content:
```
1 """
2 Adding a background map to plots 
3 --------------------------------
4 
5 This example shows how you can add a background basemap to plots created
6 with the geopandas ``.plot()`` method. This makes use of the
7 `contextily <https://github.com/darribas/contextily>`__ package to retrieve
8 web map tiles from several sources (OpenStreetMap, Stamen).
9 
10 """
11 # sphinx_gallery_thumbnail_number = 3
12 import geopandas
13 
14 ###############################################################################
15 # Let's use the NYC borough boundary data that is available in geopandas
16 # datasets. Plotting this gives the following result:
17 
18 df = geopandas.read_file(geopandas.datasets.get_path('nybb'))
19 ax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')
20 
21 ###############################################################################
22 # Convert the data to Web Mercator
23 # ================================
24 #
25 # Web map tiles are typically provided in
26 # `Web Mercator <https://en.wikipedia.org/wiki/Web_Mercator>`__
27 # (`EPSG 3857 <https://epsg.io/3857>`__), so we need to make sure to convert
28 # our data first to the same CRS to combine our polygons and background tiles
29 # in the same map:
30 
31 df = df.to_crs(epsg=3857)
32 
33 ###############################################################################
34 # Contextily helper function
35 # ==========================
36 #
37 # We define a small helper function that uses
38 # `contextily <https://github.com/darribas/contextily>`__ to add a map
39 # as background to an existing plot: 
40 
41 import contextily as ctx
42 
43 def add_basemap(ax, zoom, url='http://tile.stamen.com/terrain/tileZ/tileX/tileY.png'):
44     xmin, xmax, ymin, ymax = ax.axis()
45     basemap, extent = ctx.bounds2img(xmin, ymin, xmax, ymax, zoom=zoom, url=url)
46     ax.imshow(basemap, extent=extent, interpolation='bilinear')
47     # restore original x/y limits
48     ax.axis((xmin, xmax, ymin, ymax))
49 
50 ###############################################################################
51 # Add background tiles to plot
52 # ============================
53 #
54 # Now we can use the above function to easily add a background map to our
55 # plot. The `zoom` keyword is required and let's you specify the detail of the
56 # map tiles (be careful to not specify a too high `zoom` level, as this can
57 # result in a large download):
58 
59 ax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')
60 add_basemap(ax, zoom=10)
61 
62 ###############################################################################
63 # By default, contextily uses the Stamen Terrain style. We can specify a
64 # different style using ``ctx.sources``:
65 
66 ax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')
67 add_basemap(ax, zoom=11, url=ctx.sources.ST_TONER_LITE)
68 ax.set_axis_off()
69
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/examples/plotting_basemap_background.py b/examples/plotting_basemap_background.py
--- a/examples/plotting_basemap_background.py
+++ b/examples/plotting_basemap_background.py
@@ -1,5 +1,5 @@
 """
-Adding a background map to plots 
+Adding a background map to plots
 --------------------------------
 
 This example shows how you can add a background basemap to plots created
@@ -31,38 +31,31 @@
 df = df.to_crs(epsg=3857)
 
 ###############################################################################
-# Contextily helper function
-# ==========================
-#
-# We define a small helper function that uses
-# `contextily <https://github.com/darribas/contextily>`__ to add a map
-# as background to an existing plot: 
 
 import contextily as ctx
 
-def add_basemap(ax, zoom, url='http://tile.stamen.com/terrain/tileZ/tileX/tileY.png'):
-    xmin, xmax, ymin, ymax = ax.axis()
-    basemap, extent = ctx.bounds2img(xmin, ymin, xmax, ymax, zoom=zoom, url=url)
-    ax.imshow(basemap, extent=extent, interpolation='bilinear')
-    # restore original x/y limits
-    ax.axis((xmin, xmax, ymin, ymax))
-
 ###############################################################################
 # Add background tiles to plot
 # ============================
 #
-# Now we can use the above function to easily add a background map to our
-# plot. The `zoom` keyword is required and let's you specify the detail of the
-# map tiles (be careful to not specify a too high `zoom` level, as this can
-# result in a large download):
+# We can use `add_basemap` function of contextily to easily add a background
+# map to our plot. :
+
+ax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')
+ctx.add_basemap(ax)
+
+###############################################################################
+# We can control the detail of the map tiles using the optional `zoom` keyword
+# (be careful to not specify a too high `zoom` level,
+# as this can result in a large download).:
 
 ax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')
-add_basemap(ax, zoom=10)
+ctx.add_basemap(ax, zoom=12)
 
 ###############################################################################
 # By default, contextily uses the Stamen Terrain style. We can specify a
-# different style using ``ctx.sources``:
+# different style using ``ctx.providers``:
 
 ax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')
-add_basemap(ax, zoom=11, url=ctx.sources.ST_TONER_LITE)
+ctx.add_basemap(ax, url=ctx.providers.Stamen.TonerLite)
 ax.set_axis_off()

{"golden_diff": "diff --git a/examples/plotting_basemap_background.py b/examples/plotting_basemap_background.py\n--- a/examples/plotting_basemap_background.py\n+++ b/examples/plotting_basemap_background.py\n@@ -1,5 +1,5 @@\n \"\"\"\n-Adding a background map to plots \n+Adding a background map to plots\n --------------------------------\n \n This example shows how you can add a background basemap to plots created\n@@ -31,38 +31,31 @@\n df = df.to_crs(epsg=3857)\n \n ###############################################################################\n-# Contextily helper function\n-# ==========================\n-#\n-# We define a small helper function that uses\n-# `contextily <https://github.com/darribas/contextily>`__ to add a map\n-# as background to an existing plot: \n \n import contextily as ctx\n \n-def add_basemap(ax, zoom, url='http://tile.stamen.com/terrain/tileZ/tileX/tileY.png'):\n-    xmin, xmax, ymin, ymax = ax.axis()\n-    basemap, extent = ctx.bounds2img(xmin, ymin, xmax, ymax, zoom=zoom, url=url)\n-    ax.imshow(basemap, extent=extent, interpolation='bilinear')\n-    # restore original x/y limits\n-    ax.axis((xmin, xmax, ymin, ymax))\n-\n ###############################################################################\n # Add background tiles to plot\n # ============================\n #\n-# Now we can use the above function to easily add a background map to our\n-# plot. The `zoom` keyword is required and let's you specify the detail of the\n-# map tiles (be careful to not specify a too high `zoom` level, as this can\n-# result in a large download):\n+# We can use `add_basemap` function of contextily to easily add a background\n+# map to our plot. :\n+\n+ax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')\n+ctx.add_basemap(ax)\n+\n+###############################################################################\n+# We can control the detail of the map tiles using the optional `zoom` keyword\n+# (be careful to not specify a too high `zoom` level,\n+# as this can result in a large download).:\n \n ax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')\n-add_basemap(ax, zoom=10)\n+ctx.add_basemap(ax, zoom=12)\n \n ###############################################################################\n # By default, contextily uses the Stamen Terrain style. We can specify a\n-# different style using ``ctx.sources``:\n+# different style using ``ctx.providers``:\n \n ax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')\n-add_basemap(ax, zoom=11, url=ctx.sources.ST_TONER_LITE)\n+ctx.add_basemap(ax, url=ctx.providers.Stamen.TonerLite)\n ax.set_axis_off()\n", "issue": "DOC: update the contextily example in the gallery\nThe example about adding a background map to your plot using contextily at https://geopandas.readthedocs.io/en/latest/gallery/plotting_basemap_background.html#sphx-glr-gallery-plotting-basemap-background-py can be updated with the latest contextily (https://github.com/darribas/contextily/releases/tag/v1.0rc2).\r\n\r\nFor example, the `add_basemap` function is now available in contextily itself.\n", "before_files": [{"content": "\"\"\"\nAdding a background map to plots \n--------------------------------\n\nThis example shows how you can add a background basemap to plots created\nwith the geopandas ``.plot()`` method. This makes use of the\n`contextily <https://github.com/darribas/contextily>`__ package to retrieve\nweb map tiles from several sources (OpenStreetMap, Stamen).\n\n\"\"\"\n# sphinx_gallery_thumbnail_number = 3\nimport geopandas\n\n###############################################################################\n# Let's use the NYC borough boundary data that is available in geopandas\n# datasets. Plotting this gives the following result:\n\ndf = geopandas.read_file(geopandas.datasets.get_path('nybb'))\nax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')\n\n###############################################################################\n# Convert the data to Web Mercator\n# ================================\n#\n# Web map tiles are typically provided in\n# `Web Mercator <https://en.wikipedia.org/wiki/Web_Mercator>`__\n# (`EPSG 3857 <https://epsg.io/3857>`__), so we need to make sure to convert\n# our data first to the same CRS to combine our polygons and background tiles\n# in the same map:\n\ndf = df.to_crs(epsg=3857)\n\n###############################################################################\n# Contextily helper function\n# ==========================\n#\n# We define a small helper function that uses\n# `contextily <https://github.com/darribas/contextily>`__ to add a map\n# as background to an existing plot: \n\nimport contextily as ctx\n\ndef add_basemap(ax, zoom, url='http://tile.stamen.com/terrain/tileZ/tileX/tileY.png'):\n    xmin, xmax, ymin, ymax = ax.axis()\n    basemap, extent = ctx.bounds2img(xmin, ymin, xmax, ymax, zoom=zoom, url=url)\n    ax.imshow(basemap, extent=extent, interpolation='bilinear')\n    # restore original x/y limits\n    ax.axis((xmin, xmax, ymin, ymax))\n\n###############################################################################\n# Add background tiles to plot\n# ============================\n#\n# Now we can use the above function to easily add a background map to our\n# plot. The `zoom` keyword is required and let's you specify the detail of the\n# map tiles (be careful to not specify a too high `zoom` level, as this can\n# result in a large download):\n\nax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')\nadd_basemap(ax, zoom=10)\n\n###############################################################################\n# By default, contextily uses the Stamen Terrain style. We can specify a\n# different style using ``ctx.sources``:\n\nax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')\nadd_basemap(ax, zoom=11, url=ctx.sources.ST_TONER_LITE)\nax.set_axis_off()\n", "path": "examples/plotting_basemap_background.py"}], "after_files": [{"content": "\"\"\"\nAdding a background map to plots\n--------------------------------\n\nThis example shows how you can add a background basemap to plots created\nwith the geopandas ``.plot()`` method. This makes use of the\n`contextily <https://github.com/darribas/contextily>`__ package to retrieve\nweb map tiles from several sources (OpenStreetMap, Stamen).\n\n\"\"\"\n# sphinx_gallery_thumbnail_number = 3\nimport geopandas\n\n###############################################################################\n# Let's use the NYC borough boundary data that is available in geopandas\n# datasets. Plotting this gives the following result:\n\ndf = geopandas.read_file(geopandas.datasets.get_path('nybb'))\nax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')\n\n###############################################################################\n# Convert the data to Web Mercator\n# ================================\n#\n# Web map tiles are typically provided in\n# `Web Mercator <https://en.wikipedia.org/wiki/Web_Mercator>`__\n# (`EPSG 3857 <https://epsg.io/3857>`__), so we need to make sure to convert\n# our data first to the same CRS to combine our polygons and background tiles\n# in the same map:\n\ndf = df.to_crs(epsg=3857)\n\n###############################################################################\n\nimport contextily as ctx\n\n###############################################################################\n# Add background tiles to plot\n# ============================\n#\n# We can use `add_basemap` function of contextily to easily add a background\n# map to our plot. :\n\nax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')\nctx.add_basemap(ax)\n\n###############################################################################\n# We can control the detail of the map tiles using the optional `zoom` keyword\n# (be careful to not specify a too high `zoom` level,\n# as this can result in a large download).:\n\nax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')\nctx.add_basemap(ax, zoom=12)\n\n###############################################################################\n# By default, contextily uses the Stamen Terrain style. We can specify a\n# different style using ``ctx.providers``:\n\nax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')\nctx.add_basemap(ax, url=ctx.providers.Stamen.TonerLite)\nax.set_axis_off()\n", "path": "examples/plotting_basemap_background.py"}]}