Proposed way to set label-sizes for datamapplot with pylabeladjust.

set_label_sizes.py

import textwrap
from sklearn.preprocessing import MinMaxScaler


df['wrapped_label'] = [textwrap.fill(label, width=20) for label in df['label']]

# Set the font-size range:
scaler = MinMaxScaler(feature_range=(3,28))

#set the rescaling-value
rescaling_value = 0.9

df['size']  = scaler.fit_transform(np.array([value ** rescaling_value for value in df['count']]).reshape(-1,1))

# set percentage cut-off for bold:
cut_off_bold = 80
df['style'] = ["bold" if x >= np.percentile(df['count'], cut_off_bold) else "normal" for x in df['count']]