# Borders and coastlines interfering in python cartopy

When working with Python’s cartopy library, it is common to encounter issues with borders and coastlines interfering with the desired output. This can be frustrating, but fortunately, there are several ways to solve this problem.

## Option 1: Adjusting the linewidth

One way to address the issue of borders and coastlines interfering is by adjusting the linewidth. By increasing the linewidth, the borders and coastlines will become more prominent and less likely to interfere with other elements in the plot.

``````import cartopy.crs as ccrs
import matplotlib.pyplot as plt

# Create a figure and axis
fig, ax = plt.subplots(figsize=(10, 10), subplot_kw={'projection': ccrs.PlateCarree()})

# Increase the linewidth
ax.coastlines(linewidth=2)

# Add other elements to the plot
# ...

# Show the plot
plt.show()``````

## Option 2: Removing borders and coastlines

If adjusting the linewidth does not provide the desired result, another option is to completely remove the borders and coastlines from the plot. This can be achieved by setting the linewidth to 0 or using the `ax.background_patch.set_visible(False)` method.

``````import cartopy.crs as ccrs
import matplotlib.pyplot as plt

# Create a figure and axis
fig, ax = plt.subplots(figsize=(10, 10), subplot_kw={'projection': ccrs.PlateCarree()})

# Remove borders and coastlines
ax.coastlines(linewidth=0)
# or
ax.background_patch.set_visible(False)

# Add other elements to the plot
# ...

# Show the plot
plt.show()``````

## Option 3: Adjusting the zorder

Another approach to solve the issue is by adjusting the zorder of the borders and coastlines. The zorder determines the order in which elements are drawn on the plot. By setting a higher zorder for the borders and coastlines, they will be drawn on top of other elements, reducing interference.

``````import cartopy.crs as ccrs
import matplotlib.pyplot as plt

# Create a figure and axis
fig, ax = plt.subplots(figsize=(10, 10), subplot_kw={'projection': ccrs.PlateCarree()})

ax.coastlines(zorder=10)

# Add other elements to the plot
# ...

# Show the plot
plt.show()``````

After considering these three options, it is difficult to determine which one is the best as it depends on the specific requirements of the plot and personal preference. However, adjusting the linewidth or removing the borders and coastlines altogether are often the most effective solutions. Experimenting with different approaches and fine-tuning the parameters will help achieve the desired output.

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### 8 Responses

1. Anders says:

Option 2 all the way! Who needs borders and coastlines when you have Python cartopy? 🐍🌎

2. Pablo says:

Option 2: Removing borders and coastlines? Are we going for a minimalist, invisible world map vibe? #CartographyConfusion

3. Valentino Marsh says:

Option 1 seems like the way to go if you want those python cartopy maps to look sharp!

1. Nylah says:

Option 1 might make those python cartopy maps look sharp, but lets not forget about the other options. They may surprise you with their potential. Dont limit yourself, explore and see what works best for you!

4. Arianna says:

Option 1 sounds good, but Im all about Option 3 – adjusting the zorder! Whos with me? 🐍🌊

5. Grayson says:

Option 2: Removing borders and coastlines seems like a bold move, but hey, why not? Lets embrace minimalism!

6. Ayden says:

Option 2: Removing borders and coastlines sounds like a wild adventure! Lets embrace minimalism and explore uncharted territories! 🌊🌍🐍

1. Amaya Massey says:

Are you seriously suggesting we abolish borders and coastlines? Thats a recipe for chaos and disaster. These boundaries exist for a reason, to maintain order and protect nations. Lets not throw away centuries of history and stability for some ill-conceived notion of minimalism.