可以通过访问barlabel对象直接修改该属性。为此，当你创建barlabel时，你将它存储在一个变量（一个列表）中。然后你访问列表中与你想修改的标签相对应的元素，并修改它的属性。
修改后的代码：

# Create example data
data = pd.DataFrame.from_dict({'a': 30, 'b': 25, 'c': 35, 'd': 75}, orient = 'index').T

# Plot results
colors_barh = ['#E34234' if i == 'd' else '#2d3047' for i in data.columns]
fig, ax = plt.subplots()
plt.barh(data.columns, data.iloc[0], color = colors_barh)
ax.set_title('Daniel has a lot of Socks', fontsize = 20).set_color('#171819')
ax.tick_params(axis='y', which='both', right=False,
                left=False, colors = '#101010')
ax.tick_params(axis='x', which='both', bottom=False, colors = '#101010')
for pos in ['right', 'top', 'left', 'bottom']:
   plt.gca().spines[pos].set_visible(False)
plt.xticks([])
ax.set_xlabel('Socks per Person', fontsize = 14).set_color('#393d3f')
plt.yticks(['a', 'b', 'c', 'd'], ['Amber', 'Brad', 'Carlie', 'Daniel'])

# save reference to added barlabels
barlabels = ax.bar_label(ax.containers[0], padding = 5, size = 15, color = '#2d3047')
# access Daniel's label and change properties
barlabels[-1].set_font_properties({'size': 30})
barlabels[-1].set_color('#E34234')

plt.show();