python机器可读数据-csv

逗号分隔值（Comma-Separated Values,CSV）

1 csv数据

还有一种数据类型,叫制表分隔值（tab-separated values,TSV）数据，有时与CSV归为一类。

若文件扩展名是.tsv，则文件很可能是TSV数据

若文件扩展名是.csv，则既可能是TSV，又可能是CSV

导入CSV数据

import csv
csvFile = open('600050.csv','r')  #'r'只读
read = csv.reader(csvFile)

for row in read:
    print(row)

得到一组列表（csv.reader）形式的数据，这是一组股票数据。

['Date', 'Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume']
['2017-10-09', '7.510000', '7.530000', '7.260000', '7.290000', '7.290000', '']
['2017-10-10', '7.270000', '7.320000', '7.150000', '7.200000', '7.200000', '']
['2017-10-11', '7.180000', '7.200000', '7.080000', '7.150000', '7.150000', '']
['2017-10-12', '7.190000', '7.410000', '7.140000', '7.320000', '7.320000', '']
['2017-10-13', '7.270000', '7.300000', '7.220000', '7.250000', '7.250000', '']
['2017-10-16', '7.280000', '7.380000', '7.200000', '7.210000', '7.210000', '']
['2017-10-17', '7.180000', '7.240000', '7.150000', '7.210000', '7.210000', '']
['2017-10-18', '7.210000', '7.260000', '7.130000', '7.160000', '7.160000', '']
['2017-10-19', '7.150000', '7.150000', '6.920000', '6.920000', '6.920000', '']
['2017-10-20', '6.970000', '7.030000', '6.950000', '6.990000', '6.990000', '']
['2017-10-23', '6.980000', '7.150000', '6.980000', '7.120000', '7.120000', '']
['2017-10-24', '7.100000', '7.110000', '7.010000', '7.060000', '7.060000', '']
['2017-10-25', '7.060000', '7.150000', '7.020000', '7.080000', '7.080000', '']
['2017-10-26', '7.060000', '7.150000', '7.050000', '7.130000', '7.130000', '']
['2017-10-27', '7.200000', '7.520000', '7.200000', '7.350000', '7.350000', '']
['2017-10-30', '7.350000', '7.650000', '7.250000', '7.650000', '7.650000', '']
['2017-10-31', '7.600000', '7.680000', '7.510000', '7.640000', '7.640000', '']

还可以得到字典形式的数据（csv.DictReader）

import csv
csvFile = open('600050.csv','r')  #'r'只读
read = csv.DictReader(csvFile)

for row in read:
    print(row)

得到：

{'High': '7.530000', 'Adj Close': '7.290000', 'Close': '7.290000', 'Low': '7.260000', 'Open': '7.510000', 'Date': '2017-10-09', 'Volume': ''}
{'High': '7.320000', 'Adj Close': '7.200000', 'Close': '7.200000', 'Low': '7.150000', 'Open': '7.270000', 'Date': '2017-10-10', 'Volume': ''}
{'High': '7.200000', 'Adj Close': '7.150000', 'Close': '7.150000', 'Low': '7.080000', 'Open': '7.180000', 'Date': '2017-10-11', 'Volume': ''}
{'High': '7.410000', 'Adj Close': '7.320000', 'Close': '7.320000', 'Low': '7.140000', 'Open': '7.190000', 'Date': '2017-10-12', 'Volume': ''}
{'High': '7.300000', 'Adj Close': '7.250000', 'Close': '7.250000', 'Low': '7.220000', 'Open': '7.270000', 'Date': '2017-10-13', 'Volume': ''}
{'High': '7.380000', 'Adj Close': '7.210000', 'Close': '7.210000', 'Low': '7.200000', 'Open': '7.280000', 'Date': '2017-10-16', 'Volume': ''}
{'High': '7.240000', 'Adj Close': '7.210000', 'Close': '7.210000', 'Low': '7.150000', 'Open': '7.180000', 'Date': '2017-10-17', 'Volume': ''}
{'High': '7.260000', 'Adj Close': '7.160000', 'Close': '7.160000', 'Low': '7.130000', 'Open': '7.210000', 'Date': '2017-10-18', 'Volume': ''}
{'High': '7.150000', 'Adj Close': '6.920000', 'Close': '6.920000', 'Low': '6.920000', 'Open': '7.150000', 'Date': '2017-10-19', 'Volume': ''}
{'High': '7.030000', 'Adj Close': '6.990000', 'Close': '6.990000', 'Low': '6.950000', 'Open': '6.970000', 'Date': '2017-10-20', 'Volume': ''}
{'High': '7.150000', 'Adj Close': '7.120000', 'Close': '7.120000', 'Low': '6.980000', 'Open': '6.980000', 'Date': '2017-10-23', 'Volume': ''}
{'High': '7.110000', 'Adj Close': '7.060000', 'Close': '7.060000', 'Low': '7.010000', 'Open': '7.100000', 'Date': '2017-10-24', 'Volume': ''}
{'High': '7.150000', 'Adj Close': '7.080000', 'Close': '7.080000', 'Low': '7.020000', 'Open': '7.060000', 'Date': '2017-10-25', 'Volume': ''}
{'High': '7.150000', 'Adj Close': '7.130000', 'Close': '7.130000', 'Low': '7.050000', 'Open': '7.060000', 'Date': '2017-10-26', 'Volume': ''}
{'High': '7.520000', 'Adj Close': '7.350000', 'Close': '7.350000', 'Low': '7.200000', 'Open': '7.200000', 'Date': '2017-10-27', 'Volume': ''}
{'High': '7.650000', 'Adj Close': '7.650000', 'Close': '7.650000', 'Low': '7.250000', 'Open': '7.350000', 'Date': '2017-10-30', 'Volume': ''}
{'High': '7.680000', 'Adj Close': '7.640000', 'Close': '7.640000', 'Low': '7.510000', 'Open': '7.600000', 'Date': '2017-10-31', 'Volume': ''}