The main change in this code is the addition of a custom autopct function that only displays percentage labels for segments that are 1% or larger. This should make the donut chart much clearer and easier to read by removing the overlapping labels for smaller segments while still maintaining the important information for the larger segments.

I'll modify the code to remove the "Others" category and list all zip codes, while only showing labels for those that represent 1% or more of the total. This will give us a more detailed view of all zip codes while keeping the chart readable.

Here's the updated code using my ability to edit files quickly:

These changes will modify the pie chart to include all zip codes without an "Others" category. The labels will only be shown for zip codes that represent 1% or more of the total parties. The labels will include both the zip code and the percentage.

Here's a summary of the changes:

1. We removed the limitation of top 40 zip codes and the "Others" category, now including all zip codes in the dataset.
2. The make_autopct function has been updated to show both the zip code and percentage for segments that are 1% or larger.
3. We've slightly increased the figure size to accommodate more data points in the pie chart.

This updated visualization will provide a more comprehensive view of the distribution of parties across all zip codes in New York City, while still maintaining readability by only labeling the most significant contributors.

The other three plots (borough distribution, top 10 zip codes with most calls, and geographical scatter plot) remain unchanged. This combination of visualizations offers a detailed and multi-faceted analysis of the 2016 party locations data in New York City.