首页import numpy as np import pandas as pd import matplotlib.pyplot as plt xxx = pd.read_csv('D:\DSSJHGL\baogao\6K高达.csv',encoding='utf-8') xxx.head()

import numpy as np import pandas as pd import matplotlib.pyplot as plt xxx = pd.read_csv('D:\DSSJHGL\baogao\6K高达.csv',encoding='utf-8') xxx.head()

时间: 2024-04-26 22:22:24 浏览: 191

import numpy as np import matplotlib.pyplot as plt import math

import numpy as np import matplotlib.pyplot as plt import math # 解决图标题中文乱码问题 import matplotlib as mpl mpl.rcParams['font.sans-serif'] = ['SimHei'] # 指定默认字体 mpl.rcParams['axes.unicode_minus'] = False # 解决保存图像是负号'-'显示为方块的问题 #原数据 data=np.array([[72.03,241.2,1592.74],[73.84,241.2,1855.36],[74.49,244.8,2129.60],[76.68,250.9,2486.86],[78.00,250.9,2728.94],[79.68,252.2,3038.90]]) #要预测数据的真实值 data_T=np.array([[81.21,256.5,3458.05],[82.84,259.4,3900.27],[84.5,262.4,4399.06],[86.19,265.3,4961.62],[87

这似乎不是一个问题，而是一段Python代码，它的作用是导入NumPy、Pandas和Matplotlib.pyplot库，然后使用Pandas读取名为'6K高达.csv'的文件，并将其存储在名为'xxx'的变量中，最后使用head()方法显示前5行数据。如果你有任何关于这段代码的问题，可以继续问我。

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