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import pandas as pda = pd.read_table('a.txt')b = pd.read_table('b.txt')c = pd.read_table('c.txt')pd.concat([a,b,c],axis=1)...

import numpy as np,pandas as pda = pd.read_excel('test.xlsx' ,index_col = None, header = 0 )a = a[a.D.notnull()]a.B = a.B....

在最后加上engine='python'就可以了,即 users = pd.read_table('users.dat', sep='::',header = None, names = unames , engine = 'python')

利用Python的pandas数据结构来读取excel表格的数据,部分代码如下: #-*- coding:utf-8 -*- import pandas as pd import matplotlib.pyplot as plt catering_data="catering_sale.xls" data=pd.read_excel(catering_data,index_col=u'日期') #读...

你这个报错不是贴的这几行,能贴全点么 我这用跟你一样的代码能测试通过。 你help(pd.read_excel),看看都有哪些参数

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:...

在read_excel函数中添加参数:converters={'D':str}

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

将txt 文件导入python代码: import pandas as pd path='1.txt' data=pd.read_csv(path,sep='\t') 想要”优雅“导入,建议使用pandas,matplotlib: ...

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...

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