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pD.rEAD_Csv()里面的ConvErtErs函数怎么用啊?

converters参数就是预处理数据的一种方式。感觉和df.apply功能类似。就是通过函数的方式处理特定数据。 参数是字典类型的,key是列名(也可以是列的整数index),value是函数。 比如下面csv格式是这样的: name age 1 tom 18 2 may 23 pd.read_csv...

用pandas库, import pandas as pddata = pd.read_csv('train.csv')train_data = data.values[0:TRAIN_NUM,1:]train_label = data.values[0:TRAIN_NUM,0] study.163.com/course/courseMain.htm?courseId=1000035 机器学习正好讲了这个手写识别的...

python pandas.read.csv 后的值替换 用pandas库, import pandas as pd data = pd.read_csv('train.csv') train_data = data.values[0:TRAIN_NUM,1:] train_label = data.values[0:TRAIN_NUM,0] study.163.com/course/courseMain.htm?courseId=1...

import pandas as pd#任意的多组列表a = [1,2,3] b = [4,5,6] #字典中的key值即为csv中列名dataframe = pd.DataFrame({'a_name':a,'b_name':b})#将DataFrame存储为csv,index表示是否显示行名,default=Truedataframe.to_csv("test.csv",index=Fa...

import pandas as pd,numpy as npa = pd.read_csv("aaa.txt")print a.pivot('user_id','brand_id','type')

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