本文介绍了一个使用Python读取CSV文件并进行基本数据处理的例子。通过打开文件并逐行读取内容，利用NumPy库加载数据为字符串类型，并遍历数据进行处理。此示例适用于初学者了解如何用Python操作CSV文件。
#!/usr/bin/env python
import numpy as np
fl = open('te.csv')
try:
text = fl.readline( )
finally:
print text
#fl.close( )
#print text
#data = np.loadtxt("\usr\data\tianchi_mobile_recommend_train_user.csv", dtype='int')
#print data
data = np.loadtxt(fl,dtype = str)
#X = data[:, 1:] # select columns 1 through end
#y = data[:, 0] # select column 0, the stock price
for key in data:
# print data[key]
print key.split(',')
# print key
fl.close()
import numpy as np
fl = open('te.csv')
try:
text = fl.readline( )
finally:
print text
#fl.close( )
#print text
#data = np.loadtxt("\usr\data\tianchi_mobile_recommend_train_user.csv", dtype='int')
#print data
data = np.loadtxt(fl,dtype = str)
#X = data[:, 1:] # select columns 1 through end
#y = data[:, 0] # select column 0, the stock price
for key in data:
# print data[key]
print key.split(',')
# print key
fl.close()
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