有没有办法让这个颜色条图例变小？比如现在的1/5或1/10，这样它就能更好地融合在一起？
我不知道你需要看多少代码，所以这里是一切：

import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1.axes_divider import make_axes_locatable
import geopandas as gpd
from descartes import PolygonPatch
import pandas as pd
import math
import numpy as np
world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
world.loc[world['name'] == 'France', 'iso_a3'] = 'FRA'
world.loc[world['name'] == 'Norway', 'iso_a3'] = 'NOR'
world.loc[world['name'] == 'Somaliland', 'iso_a3'] = 'SOM'
world.loc[world['name'] == 'Kosovo', 'iso_a3'] = 'RKS'
world = world[(world.pop_est>0) & (world.name!="Antarctica")]
world['val'] = 0
fig, ax = plt.subplots(1, 1)
df=pd.read_csv('data.csv', usecols=['SpatialDimValueCode','Location','Period','Dim1','FactValueNumeric'])
def lerp(val, _max, _min):
    return math.pow((val - _min)/(_max - _min), 1/4)
min_ = min(df[df['Dim1'] == 'Total']['FactValueNumeric'].tolist())
max_ = max(df[df['Dim1'] == 'Total']['FactValueNumeric'].tolist())
for index, country in df[(df['Period'] == 2016) & (df['Dim1'] == 'Total')].iterrows():
    if(country['SpatialDimValueCode'] in world.iso_a3.tolist()):
        world.loc[world['iso_a3'] == country['SpatialDimValueCode'], 'val'] = lerp(country['FactValueNumeric'], max_, min_)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad="0.01%")
world.plot(column='val', cmap='Greens', ax=ax, legend=True, cax=cax)
ax.axis('off')
plt.savefig('data.jpg', dpi=300, format='jpg',bbox_inches='tight', pad_inches=0)

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x1c 0d1x的数据