【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

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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

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1 2	xx = np.array(ratios_10m) bins = range(0, 101, 10)

　　 刻度显示

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1 2	plt.xlim(0, 100) plt.xticks(range(0, 101, 10))

　　代码示例参考：

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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()

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