如何獲得網絡流量圖+如何將列添加到numpy數組？

Question

我想知道如何將一列添加到一個numpy數組？假設我在.tsv格式如下：

from sklearn import metrics,preprocessing,cross_validation 
    from sklearn.feature_extraction.text import TfidfVectorizer 
    import sklearn.linear_model as lm 
    import pandas as p  
    print "loading data.." 
    traindata = np.array(p.read_table('train.tsv')) #here is where I am unsure what to do 

traindata的第一列包含每個網頁的URL。

在此之後，我想的邏輯是：

for each row in traindata 
      #run function to look up traffic webpage is getting, store this in a numpy array 
Add a new column to traindata numpy array, append on the data in the array created into our "for each" 

怎麼可以這樣一般實現，即使你只是使用檢索網絡流量「填充物」的方法？ :)

謝謝！

Inputs and outputs : 
    Input : Numpy array of 26 columns. 
    We call a function on the value in the first column of each row, this function will return a number. 
    We append all these numbers into a numpy array with one column. 
    We append the Numpy array with 26 cols to the one made above to end up with a numpy array with 27 columns. 
Output : Numpy array of 26 columns. 

Answer 1

您可以使用numpy.hstack追加列，就像這樣：

import numpy as np 

def some_function(x): 
    return 3*x 

input = np.ones([10,26]) 
input = np.hstack([input,np.empty([input.shape[0],1])]) 
for row in input: 
    row[-1] = some_function(row[0]) 

output = input