How to use the contextily.add_basemap function in contextily
To help you get started, we’ve selected a few contextily examples, based on popular ways it is used in public projects.
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geopandas / geopandas / examples / plotting_basemap_background.py View on Github 
# Add background tiles to plot
# ============================
#
# 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')
ctx.add_basemap(ax, zoom=12)
###############################################################################
# By default, contextily uses the Stamen Terrain style. We can specify a
# different style using ``ctx.providers``:
ax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')
ctx.add_basemap(ax, url=ctx.providers.Stamen.TonerLite)
ax.set_axis_off()df = df.to_crs(epsg=3857)
###############################################################################
import contextily as ctx
###############################################################################
# Add background tiles to plot
# ============================
#
# 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')
ctx.add_basemap(ax, zoom=12)
###############################################################################
# By default, contextily uses the Stamen Terrain style. We can specify a
# different style using ``ctx.providers``:
ax = df.plot(figsize=(10, 10), alpha=0.5, edgecolor='k')
ctx.add_basemap(ax, url=ctx.providers.Stamen.TonerLite)
ax.set_axis_off()
