Python使用pandas从数据帧中提取列的全部内容

我想使用pandas从多列数据帧中提取列的全部内容，但我只得到了列的一部分

我使用的代码是：

import pandas
import csv
data = pandas.read_csv('data1.csv', usecols = ['dbSNP RS ID'])

import sys  
sys.stdout = open("data2.csv", "w") 
print data

我得到的是这样的东西：

       dbSNP RS ID
0        rs4147951
1        rs2022235
2        rs6425720
3       rs12997193
4        rs9933410
5        rs7142489
...            ...
934963  rs10262938
934964   rs6140985
934965   rs2704067
934966   rs2239441
934967  rs10041689

[934968 rows x 1 columns]

csv文件的前两行是：

"Probe Set ID","dbSNP RS ID","Chromosome","Physical Position","Strand","ChrX    pseudo-autosomal region 1","Cytoband","Flank","Allele A","Allele B","Associated Gene","Genetic Map","Microsatellite","Fragment Enzyme Type Length Start Stop","Allele Frequencies","Heterozygous Allele Frequencies","Number of individuals","In Hapmap","Strand Versus dbSNP","Copy Number Variation","Probe Count","ChrX pseudo-autosomal region 2","In Final List","Minor Allele","Minor Allele Frequency","% GC","OMIM"

"AFFX-   SNP_10000979","rs4147951","17","66943738","+","0","q24.2","GGATAAGGATGGGCTA[A/G]ATTATCATTGCTGTTA","A","G","ENST00000269080 // intron // 0 // Hs.58351 // ABCA8 // 10351 // ATP-binding cassette, sub-family A (ABC1), member 8 /// ENST00000428549 // intron // 0 // Hs.58351 // ABCA8 // 10351 // ATP-binding cassette, sub-family A (ABC1), member 8 /// ENST00000541225 // intron // 0 // Hs.58351 // ABCA8 // 10351 // ATP-binding cassette, sub-family A (ABC1), member 8 /// ENST00000542396 // intron // 0 // Hs.58351 // ABCA8 // 10351 // ATP-binding cassette, sub-family A (ABC1), member 8 /// NM_007168 // intron // 0 // Hs.58351 // ABCA8 // 10351 // ATP-binding cassette, sub-family A (ABC1), member 8","99.8510 // D17S795 // D17S2182 // --- // --- // deCODE /// 90.7912 // D17S1870 // D17S840 // AFM323TB1 // AFM207VF4 // Marshfield /// 82.3131 // --- // D17S1786 // 147671 // --- // SLM1","D17S795 // downstream // 265562 /// D17S1474E // upstream // 113179","NspI // ACATGT_ACATGT // 536 // 66943408 // 66943943 /// StyI // CCTTGG_CCATGG // 2334 // 66941614 // 66943947","0.3917 // 0.6083 // CEU /// 0.6444 // 0.3556 // CHB /// 0.6000 // 0.4000 // JPT /// 0.5667 // 0.4333 // YRI","0.3833 // CEU /// 0.4889 // CHB /// 0.4444 // JPT /// 0.5667 // YRI","60 // CEU /// 45 // CHB /// 45 // JPT /// 60 // YRI","YES","reverse","---","6","0","YES","A // CEU /// G // CHB /// G // JPT /// G // YRI","0.3917 // CEU /// 0.3556 // CHB /// 0.4000 // JPT /// 0.4333 // YRI","---","---"

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关于如何从934968行中提取“dbSNP RS ID”的任何想法？？。多谢各位

IIUC您应该使用以下内容再次读取和写入.csv文件：

data = pandas.read_csv('data1.csv', usecols = ['dbSNP RS ID'])

data.to_csv('data2.csv')

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代码的问题在于，

print

函数实际上只在文件中写入pandas在终端提示中显示的部分。当有太多的行时，它会在中间将输出添加<代码>…<代码>。你的CSV的前几行看起来是什么样的？IIUC你想要<代码>数据吗？值< /C> > Hi@ MiSyVall，我将编辑这个问题并包括CSV FielHi @法比奥的前两行，一些列值是字符串，其他是整数，你是指在第二个代码列表中间的点吗？如果是这样的话，那就是熊猫显示数据的方式，你不想把900k列全部打印出来。。。如果你真的想救他们，他们应该都在那里。。。