# How to get bounding box of a country using Natural Earth data and Cartopy

In this example, we’ll determine the bounding box of Kenya using the public domain Natural Earth dataset and the Cartopy library.

Rendering just the bounding box of Kenya (with the actual country being highlighted in green) looks like this:

### How to get the bounding box

First we use Cartopy’s `cartopy.io.shapereader.natural_earth()` function that will automatically download Natural Earth data (if it has already been downloaded, the cached data will be used):

```shpfilename = shpreader.natural_earth(resolution='10m',
category='cultural',

Now we can filter for Kenya just like we did in our previous post on How to highlight a specific country using Cartopy:

```kenya = [country for country in reader.records() if country.attributes["NAME_LONG"] == "Kenya"][0]
```

and get the bounding box using `kenya.bounds`:

```lon_min, lat_min, lon_max, lat_max = kenya.bounds
```

### Complete example code

This code will render the image shown above:

```import cartopy.crs as ccrs
import cartopy.feature as cf
from cartopy.feature import ShapelyFeature
from matplotlib import pyplot as plt

proj = ccrs.PlateCarree()
ax = plt.axes(projection=proj)
# Show only Africa
#ax.set_extent([-23, 55, -35, 40])
ax.stock_img()

# Make figure larger
plt.gcf().set_size_inches(20, 10)

category='cultural',
# Filter for a specific country
kenya = [country for country in reader.records() if country.attributes["NAME_LONG"] == "Kenya"][0]
# Determine bounding box
lon_min, lat_min, lon_max, lat_max = kenya.bounds
ax.set_extent([lon_min, lon_max, lat_min, lat_max])

# Display Kenya's shape
shape_feature = ShapelyFeature([kenya.geometry], ccrs.PlateCarree(), facecolor="lime", edgecolor='black', lw=1)