matplotlib条形图

import matplotlib.pyplot as plt
import matplotlib
with open(r'C:\Users\Administrator\Desktop\newTest\we\zj.txt') as f:
# with open(r'C:\Users\Administrator\Desktop\newTest\we\lhq.txt') as f:
    datas = f.readlines()
    _9=_8=_7=_6 = o = 0
    for data in datas:
        data = float(data.strip())
        if data >= 0.9:
            _9 += 1
        elif data < 0.9 and data >= 0.8:
            _8 += 1
        elif data < 0.8 and data >= 0.7:
            _7 += 1
        elif data < 0.7 and data >= 0.6:
            _6 += 1
        else:
            o += 1
x = ['大于等于90%','大于等于80%','大于等于70%','大于等于60%','总共']
y = [_9,_8,_7,_6,o]
import seaborn as sns
sns.set(style='white', font_scale=1.2)
# 保证可以显示中文字体
plt.rcParams['font.sans-serif']='simhei'
# 设置字体大小
font1 = {'family' : 'simhei',
'weight' : 'normal',
'size'   : 18,}
# 使用数据透视表
f, ax = plt.subplots(figsize=(12,6))
# 画柱形图
bar = plt.bar(x,y, color='dodgerblue')
bar[0].set_color('green')
# 给条形图添加数据标注
for x, y in enumerate([_9,_8,_7,_6,o]):
    plt.text(x,y, "%s" %(str(y)))
#删除所有边框
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.spines['bottom'].set_visible(False)
ax.spines['left'].set_visible(False)
# ax.set(title='重庆各区域二手房总价', xlabel='地区', ylabel='总价')
plt.tick_params(labelsize=14)
plt.xlabel('精度', font1)
plt.ylabel('数量', font1)
plt.title('模型B各个精度区间分布', font1)
plt.waitforbuttonpress(0)
# f.savefig('1_1.png', bbox_inches='tight')