Python的命令列引數解析

命令列引數解析在程式語言中基本都會碰到，python中內建了乙個用於命令項選項與引數解析的模組argparse。下面主要介紹兩種解析python命令列引數的方式。

解析python中命令列引數的最傳統的方法是通過sys.argv。demo如下：

#!/usr/env/python python

# _*_ coding: utf-8 _*_
import sys
param1 = sys.argv[1]
param2 = sys.argv[2]
print sys.argv
print param1
print param2
print
type
(param1)
print
type
(param2)

$ python test.py 1

2['test.py', '1', '2']
12

argparse模組是python內建的引數解析模組，使用起來比較簡單且功能強大。demo如下：

#!/usr/env/python python

# _*_ coding: utf-8 _*_
import argparse
# create argumentparser() object
parser = argparse.argumentparser()
# add argument
parser.add_argument('--train', required=true, help='path to dataset')
parser.add_argument('--val', required=true, help='path to dataset')
parser.add_argument('--total', type=
int, help='number of dataset', default=100)
parser.add_argument('--lr', type=
float, default=0.01, help='learning rate')
# print usage
parser.print_help()
# parse argument
args = parser.parse_args()
# print args
print args
print args.train
print type(args.train)
print args.val
print type(args.val)
print args.total
print type(args.total)
print args.lr
print type(args.lr)

# test 1

python test.py --train train_lmdb --val val_lmdb --total 10000 --lr 0.001
usage: test.py [-h] --train train --val val [--total total] [--lr lr]
optional arguments:
-h, --help show this help message and exit
--train train path to dataset
--val val path to dataset
--total total number of dataset
--lr lr learning rate
namespace(lr=0.001, total=10000, train='train_lmdb', val='val_lmdb')
train_lmdb
val_lmdb
10000
0.001
# test 2
python test.py --train train_lmdb --val val_lmdb
usage: test.py [-h] --train train --val val [--total total] [--lr lr]
optional arguments:
-h, --help show this help message and exit
--train train path to dataset
--val val path to dataset
--total total number of dataset
--lr lr learning rate
namespace(lr=0.01, total=100, train='train_lmdb', val='val_lmdb')
train_lmdb
val_lmdb
1000.01
# test 3
python test.py --val val_lmdb --train train_lmdb
usage: test.py [-h] --train train --val val [--total total] [--lr lr]
optional arguments:
-h, --help show this help message and exit
--train train path to dataset
--val val path to dataset
--total total number of dataset
--lr lr learning rate
namespace(lr=0.01, total=100, train='train_lmdb', val='val_lmdb')
train_lmdb
val_lmdb
1000.01

add_argument函式的引數如下：

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