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	积分4004贡献 精华在线时间 小时注册时间2016-3-4最后登录1970-1-1 
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import pandas as pd
x
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  import matplotlib.pyplot as plt
 import numpy as np
 import seaborn as sns
 from matplotlib import colors
 rows = pd.read_csv('E:/ZP2020-02-01_00-01-10LV2.csv',
 encoding='gbk', header= None, skiprows=3)
 df = rows.iloc[0:10:1, 11:12:1]
 df1 = rows.iloc[10:20:1, 11:12:1]
 df2 = rows.iloc[20:30:1, 11:12:1]
 。。。。。。
 U1 = np.concatenate((df, df1, df2), axis=1)
 print(U1)
 cmap = colors.ListedColormap(['blue', 'deepskyblue','cyan','lightcyan','gold','salmon'])
 bounds=[0,1,2,3,4,17,30]
 norm = colors.BoundaryNorm(bounds, cmap.N)
 data = U1
 sns_plot=sns.heatmap(data, cmap=cmap, norm=norm, linecolor='k', linewidths = 0.1, annot=True, cbar=False)
 
 
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