baidu_15113429的博客

通过dict创建dataframe的列索引import pandas as pddic2 = {'a':[1, 2, 3, 4], 'b':[5, 6, 7, 8], 'c':[9, 10, 11, 12], 'd':[13, 14, 15, 16]} df=pd.DataFrame(columns=dic2.keys()) print(df)

numpy和pandas是python中两个重要的用于科学计算的包，下面是本人的在删除数组上面的数据的一些练习。import pandas as pd import numpy as np x = [[0, 1, 1, 1, 1], [0, 0, 1, 1, 1], [0, 0, 0, 1, 1], [0, 0, 0, 0, 1], [0, 0, 0, 0, 0]] size = len(x) df

#-*-coding:utf8-*- import pandas as pd all_data=pd.read_csv("E:/协和问答系统/SenLiu/熵测试数据.csv") #获取某一列值为xx的行的候选列数据 print(all_data) feature_data=all_data.iloc[:,[0,-1]][all_data[all_data.T.index[0]]=='青年']...