from plot_gdf import plot_gdf
import matplotlib.pyplot as plt
import geopandas as gpd

gdf = gpd.read_file('./sample_data/sample_land_use_circle.shp')
drawing_kwargs = {
    'background': {'fc': '#F2F4CB', 'ec': '#dadbc1', 'hatch': 'ooo...', 'zorder': -1},
    
    'Water': {'fc': '#a1e3ff', 'ec': '#2F3737', 'hatch': 'ooo...', 'hatch_c': '#85c9e6', 'lw': 0, 'zorder': 2},
    
    'Transportation': {'fc': '#2F3737', 'ec': '#475657', 'alpha': 0.5, 'lw': 0.5, 'zorder': 2},
    
    'Others': {'fc': '#D2D68D', 'ec': '#AEB441', 'lw': .5, 'zorder': 3, 'hatch': 'ooo...'},
    
    'Farmland': {'fc': '#F2F4CB', 'ec': '#2F3737', 'lw': .5, 'zorder': 3, 'hatch': 'ooo...'},
    'Field': {'fc': '#D0F1BF', 'ec': '#2F3737', 'lw': .5, 'zorder': 3},
    
    'Special': {'fc': '#64B96A', 'ec': '#2F3737', 'lw': .5, 'zorder': 3},
    
    'Forest': {'fc': '#64B96A', 'ec': '#2F3737', 'lw': .5, 'hatch': 'ooo...', 'zorder': 3},
    'Grass': {'fc': '#8BB174', 'ec': '#2F3737', 'hatch_c': '#A7C497', 'hatch': 'ooo...', 'lw': .5, 'zorder': 3},
    

    'Public': {'palette': ['#FFC857', '#E9724C', '#C5283D'], 'ec': '#2F3737', 'lw': .5, 'zorder': 4},
    'Residential': {'palette': ['#FFC857', '#E9724C', '#C5283D'], 'ec': '#2F3737', 'lw': .5, 'zorder': 4},
    'Industrial': {'palette': ['#FFC857', '#E9724C', '#C5283D'], 'ec': '#2F3737', 'lw': .5, 'zorder': 4},
    'Commercial': {'palette': ['#FFC857', '#E9724C', '#C5283D'], 'ec': '#2F3737', 'lw': .5, 'zorder': 4},
}
fig, ax = plt.subplots(figsize = (8, 8), constrained_layout = True)
plot_gdf(gdf, ax, field='major', drawing_kwargs=drawing_kwargs)
plt.savefig('./test.png')