Python reads text

Converting text into a numpy array, doing machine learning or any other task, is essential for text processing skills. The python implementation enables very thin and powerful text processing capabilities:

Suppose the file traindata.csv has data 1000 rows, 3 column features, and the fourth column (the last column) is the class label

1. Basic methods:

def File2matrix ():     = []    = []    = open ('./traindata.csv','RB ' )  
Fr.readline ()    for in  fr.readlines ():  #读取每一行
CurLine = Line.strip (). Split (' \ t ')
Linearr = []
For I in range (3):
Linearr.append (float (curline[i)) # Read each property  
Datamat.append (Linearr)   
Labelmat.append (float (curline[3]))
Return Datamat,labelmat
    

2. Using the CSV module

Import CSV def File2matrix ():      = Open ('./traindata','rb')     =  Csv.reader (FR) lines.next ()  // Ignore first line      for in   lines:           .... 

3. Using the Pandas module

ImportPandas as PDdefFile2matrix (): Fr= Open ('./traindata.csv','RB') DF= Pd.read_csv (fr,header=0) Datamat= df[['Feature1','Feature2','Feature3']] Labelmat= df['label']    returnDatamat,labelmat

Obviously, if the skilled palmprint pandas will be very simple, so easy.

The end of the paper is shallow, I know this matter to preach ....

Just do it!

Python reads text