pytorch笔记篇：pandas之数据预处理(更新中)

测试例代码

print(train_data.iloc[0:4, [0, 1, 2, 3, -3, -2, -1]])
# (※1) 为什么test_data的列最后不是-1，是因为test_data没有价格这个列项
all_features = pd.concat((train_data.iloc[:, 1:-1], test_data.iloc[:, 1:]))
print('-----------------------------------------------')
print(all_features.iloc[0:4, [0, 1, 2, 3, -3, -2, -1]])# (※2) 获取到不是数值的列index]
numeric_features = all_features.dtypes[all_features.dtypes != 'object'].index# print('++++++++++++++++++++++++')
# (※3) print(all_features[numeric_features].iloc[0:3, [0,1,2,3,-3,-2,-1]])
# print('----------------------')
all_features[numeric_features] = all_features[numeric_features].apply(lambda x: