Filling a hole in a MultiPolygon with shapely - Netherlands 2 digit postal codes [duplicate]

Question

I've found a shapefile for 4 digit postal codes in the Netherlands here:

https://public.opendatasoft.com/explore/dataset/openpostcodevlakkenpc4/export/?location=9,52.16172,5.56595&basemap=jawg.streets

What I'm trying to do is to combine postcodes that share the first two digits, and then plot them on a map.

Unfortunately there seems to be a problem with the data - there are some areas in the Netherlands that don't seem to be covered. As a result, when I combine the polygons to get the 2-digit polygons (from the 4-digit ones), there are holes in the resulting multipolygons.

I need to fill in these holes. I've seen posts for similar issues but nothing seems to do exactly what I need. In particular, I saw a post about using concave hulls, but this seems like overkill here.

There are several artifacts I've managed to fix (e.g. "slivers") but the holes remain.

Here's what I have so far:

from shapely.ops import cascaded_union
from shapely.geometry import JOIN_STYLE, Polygon, MultiPolygon

import os
import folium
import pandas as pd
import geopandas as gpd

GEOM_LOC = r"PATH_TO_FILE_ABOVE\openpostcodevlakkenpc4.shx"

# Get the data
geom = gpd.read_file(GEOM_LOC)

# Remove empty or nan records
is_empty = geom.geometry.is_empty
is_nan = geom.geometry.isna()
geom = geom[~(is_empty | is_nan)]

# Add field for 2 digit postcode
geom["digit"] = geom.pc4.apply(lambda x: x[0:2])
geom = geom[["digit", "geometry"]]

# Make dataframe for 2-digit zones
tags = list(set(geom["digit"]))
df = pd.DataFrame(tags, columns=["tag"])

# Function returning union of geometries
def combine_borders(*geoms):
    return cascaded_union([
        geom if geom.is_valid else geom.buffer(0) for geom in geoms
    ])

# Wrapping function above for application to dataframe
def combine(tag):
    sub_geom = geom[geom["digit"] == tag]
    bounds = list(sub_geom.geometry)
    return(combine_borders(*bounds))

# Apply the function
df["boundary"] = df.tag.apply(lambda x: combine(x))

# The polygons generated above do not fit perfectly together,
# resulting in artifacts. We fix that now
eps = 0.00001

def my_buffer(area):
    return(
        area.buffer(eps, 1, join_style=JOIN_STYLE.mitre).buffer(-eps, 1, join_style=JOIN_STYLE.mitre)
    )

df["boundary"] = df.boundary.apply(lambda x: my_buffer(x))

# Have a look at one of the holes
test = geom[geom.digit == "53"]

test = df.loc[df.tag == "53", "boundary"].item()
m = folium.Map(location=[51.8, 5.4], zoom_start=10, tiles="CartoDB positron")
m.choropleth(test)
m

As you see, I've tested on the two-digit zone "53". There is a hole that I need to fill:

I realise that the underlying geometry is quite complicated, but is there a straightforward way to fill this "hole"?

Many thanks for your help.

EDIT - 2020-04-25-16.14

For reference, here is the 2 digit postcode area "53" from wikipedia:

So it's not that there's a postcode-within-a-postcode - a postcode enclave.

EDIT - 2020-04-27

I found this post:

Convert Multipolygon to Polygon in Python

Applying the code

no_holes = MultiPolygon(Polygon(p.exterior) for p in m)

to my multipolygon closes the hole:

Answer 1

This closes simple holes in Polygon geometries of a GeoDataFrame.

def close_holes(poly: Polygon) -> Polygon:
        """
        Close polygon holes by limitation to the exterior ring.
        Args:
            poly: Input shapely Polygon
        Example:
            df.geometry.apply(lambda p: close_holes(p))
        """
        if poly.interiors:
            return Polygon(list(poly.exterior.coords))
        else:
            return poly

df = df.geometry.apply(lambda p: close_holes(p))