【546】Python 绘制直方图

参考：5种方法教你用Python玩转histogram直方图

参考：Python利用matplotlib.pyplot绘图时如何设置坐标轴刻度

参考：matplotlib频率图

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　　设置百分比

• 创建函数
• 添加 weight
• 格式修改

def to_percent(y,position):
    return str(round(100*y,2))+"%"

plt.hist(xx, bins, facecolor='blue', edgecolor='black', alpha=0.7, weights=[1./len(xx)]*len(xx))  

fomatter=FuncFormatter(to_percent)
plt.gca().yaxis.set_major_formatter(fomatter)

　　 设置横坐标显示区间

• 通过设置 bins 来实现，每 10 个一个间隔

xx = np.array(ratios_10m) 
bins = range(0, 101, 10)

　　 刻度显示

plt.xlim(0, 100) 
plt.xticks(range(0, 101, 10))  

　　代码示例参考：

from matplotlib.ticker import FuncFormatter
import folium 

def to_percent(y,position):
    return str(round(100*y,2))+"%"

#for i in range(3): 
for i in range(len(ratios_new)):
    print('*'*100) 
    print('*'*100) 
    print() 
    print("AOI INDEX =", i)
    print("包含点的数量：", len(ratios_new[i][0]))
    print("10m 平均值：", round(sum(ratios_new[i][0])/len(ratios_new[i][0]), 2), "%")
    print("20m 平均值：", round(sum(ratios_new[i][1])/len(ratios_new[i][1]), 2), "%")
    
    df[df['aoi_id'] == aoi_wj_new[i][0]]['addr'].value_counts().head(10)  

    # 加载高德地图瓦片
    
    pts = [[pt[1], pt[0]] for pt in aoi_wj_new[i][1].exterior.coords[:]]
    lats = [pt[0] for pt in pts]
    lngs = [pt[1] for pt in pts]
    
    m=folium.Map(location=[sum(lats)/len(lats), sum(lngs)/len(lngs)],
                   zoom_start=15,
                   tiles='http://webst04.is.autonavi.com/appmaptile?style=7&x={x}&y={y}&z={z}',
                   attr='default')

    _ = folium.Polygon([[pt[1], pt[0]] for pt in aoi_wj_new[i][1].exterior.coords[:]], weight=1.5, fill_color='blue').add_to(m) 
    
    m 
    
    ratios_10m = ratios_new[i][0]
    ratios_20m = ratios_new[i][1]
    
    # 10m 
    xx = np.array(ratios_10m) 
    # 确定很坐标显示的范围
    bins = range(0, 101, 10)

    _ = plt.hist(xx, bins, facecolor='blue', edgecolor='black', alpha=0.7, weights=[1./len(xx)]*len(xx))  
    _ = plt.xlabel("10m (%)") 
    _ = plt.ylabel("frequency") 
    
    fomatter=FuncFormatter(to_percent)
    _ = plt.gca().yaxis.set_major_formatter(fomatter)
    
    _ = plt.xlim(0, 100) 
    _ = plt.xticks(range(0, 101, 10)) 
    _ = plt.ylim(0, 1) 

    _ = plt.title("AOI index = " + str(i))

    _ = plt.show()

    # 20m
    xx = np.array(ratios_20m) 
    # 确定很坐标显示的范围
    bins = range(0, 101, 10)

    _ = plt.hist(xx, bins, facecolor='blue', edgecolor='black', alpha=0.7, weights=[1./len(xx)]*len(xx))  
    _ = plt.xlabel("20m (%)") 
    _ = plt.ylabel("frequency") 
    
    fomatter=FuncFormatter(to_percent)
    _ = plt.gca().yaxis.set_major_formatter(fomatter)

    _ = plt.xlim(0, 100) 
    _ = plt.xticks(range(0, 101, 10)) 
    _ = plt.ylim(0, 1) 

    _ = plt.title("AOI index = " + str(i))

    _ = plt.show()

　　显示效果