Geopandas Consistent User Defined Color Scheme For Subplots

I am new to geopandas and I am having trouble creating choropleth subplots with consistent bins. I need to create a consistent user defined color scheme across all subplots. I have

Solution 1:

So ultimately the solution was using the "norm" option. Following this example: Geopandas userdefined color scheme drops colors. See below:

from matplotlib.colors import Normalize
bins= UserDefined(gdf['2020'], bins=[0,1,2,3,4,5,6,7,8,9,10]).bins
bins

fig,(ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,6))
ax1.set_title('1980')
ax2.set_title('2000')
ax3.set_title('2020')
gdf.plot(column='1980', ax=ax1, cmap='OrRd', scheme='userdefined', classification_kwds={'bins':bins}, norm=Normalize(0, len(bins)))
gdf.plot(column='2000', ax=ax2, cmap='OrRd', scheme='userdefined', classification_kwds={'bins':bins}, norm=Normalize(0, len(bins)))
gdf.plot(column='2020', ax=ax3, cmap='OrRd', scheme='userdefined', classification_kwds={'bins':bins}, norm=Normalize(0, len(bins)))
for ax in (ax1,ax2,ax3):
    ax.axis('off')

The result is what I wanted:

Expected Graph

or as suggested by Paul H:

fig,(ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,6))
ax1.set_title('1980')
ax2.set_title('2000')
ax3.set_title('2020')
gdf.plot(column='1980', ax=ax1, cmap='OrRd', scheme='userdefined', classification_kwds={'bins':bins}, vmin = 0, vmax = 10)
gdf.plot(column='2000', ax=ax2, cmap='OrRd', scheme='userdefined', classification_kwds={'bins':bins}, vmin = 0, vmax = 10)
gdf.plot(column='2020', ax=ax3, cmap='OrRd', scheme='userdefined', classification_kwds={'bins':bins}, vmin = 0, vmax = 10)
for ax in (ax1,ax2,ax3):
    ax.axis('off')