常用函数工具包
Project description
安装
pip install zyf
或者
pip install zyf -i https://pypi.python.org/simple
使用
函数计时
示例1:timeit
from zyf.timer import timeit
@timeit
def sleep(seconds: int):
time.sleep(seconds)
sleep()
运行
>> sleep(1)
Function sleep -> takes 1.001 seconds
示例2:Timeit
from zyf.timer import timeit, Timeit
@Timeit(prefix='跑步')
def run():
time.sleep(3)
run()
运行
跑步 -> takes 3.000 seconds
示例3:repeat_timeit
from zyf.timer import repeat_timeit
@repeat_timeit(number=5)
def list_insert_time_test():
l = []
for i in range(10000):
l.insert(0, i)
@repeat_timeit(repeat=3, number=5)
def list_append_time_test():
l = []
for i in range(1000000):
l.append(i)
return l
@repeat_timeit(number=5, print_detail=True)
def list_gen_time_test():
l = [i for i in range(1000000)]
return l
@repeat_timeit(repeat=3, number=5, print_detail=True)
def list_extend_time_test():
l = []
for i in range(1000000):
l.extend([i])
@repeat_timeit(repeat=3, number=5, print_detail=True, print_table=True)
def list_range_time_test():
l = list(range(1000000))
运行
>> list_insert_time_test()
Function list_insert_time_test -> 5 function calls: average takes 0.097 seconds
>> list_append_time_test()
Function list_append_time_test -> 3 trials with 5 function calls per trial: average trial 3.269 seconds. average function call 0.654 seconds
>> list_gen_time_test()
Time Spend of 5 function calls:
Function -> list_gen_time_test: total 1.550 seconds, average 0.310 seconds
Average: 0.310 seconds
>> list_extend_time_test()
Time Spend of 3 trials with 5 function calls per trial:
Function -> list_extend_time_test:
best: 3.289 seconds, worst: 3.626 seconds, average: 3.442 seconds
Average trial: 3.442 seconds. Average function call: 0.688 seconds
>> list_range_time_test()
Time Spend of 3 trials with 5 function calls per trial:
+----------------------+---------------+---------------+---------------+-----------------------+
| Function | Best trial | Worst trial | Average trial | Average function call |
+----------------------+---------------+---------------+---------------+-----------------------+
| list_range_time_test | 0.640 seconds | 0.714 seconds | 0.677 seconds | 0.135 seconds |
+----------------------+---------------+---------------+---------------+-----------------------+
示例4:构建列表效率对比
from zyf.timer import repeat_timeit
@repeat_timeit(number=3)
def list_insert_time_test():
l = []
for i in range(100000):
l.insert(0, i)
@repeat_timeit(number=5)
def list_extend_time_test():
l = []
for i in range(100000):
l.extend([i])
@repeat_timeit(number=5)
def list_append_time_test():
l = []
for i in range(100000):
l.append(i)
return l
@repeat_timeit(number=5)
def list_gen_time_test():
l = [i for i in range(100000)]
return l
@repeat_timeit(number=5)
def list_range_time_test():
l = list(range(100000))
if __name__ == '__main__':
list_range_time_test()
list_gen_time_test()
list_append_time_test()
list_extend_time_test()
list_insert_time_test()
运行结果
Function list_range_time_test -> 5 function calls: average takes 0.012 seconds
Function list_gen_time_test -> 5 function calls: average takes 0.017 seconds
Function list_append_time_test -> 5 function calls: average takes 0.038 seconds
Function list_extend_time_test -> 5 function calls: average takes 0.067 seconds
Function list_insert_time_test -> 3 function calls: average takes 13.747 seconds
UserAgent
示例
from zyf.user_agent import UserAgent
ua = UserAgent()
print(ua.random)
print(ua.chrome)
print(ua.firefox)
print(ua.opera)
print(ua.uc)
print(ua.mobile)
输出
Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3
Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6
Mozilla/5.0 (X11; U; Linux x86_64; zh-CN; rv:1.9.2.10) Gecko/20100922 Ubuntu/10.10 (maverick) Firefox/3.6.10
Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; en) Opera 9.50
Openwave/ UCWEB7.0.2.37/28/999
Mozilla/5.0 (iPad; U; CPU OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5
文件操作
- 扫描指定文件夹内所有文件,输出文件路径
from zyf.file import scan_directory_contents
for file in scan_directory_contents('D:/python/data'):
print(file)
# 可以指定后缀
for file in scan_directory_contents('D:/python/data', suffix='.csv'):
print(file)
-
词频统计
对
文献.xlsx
中关键词列的进行词频统计
,可指定单词分隔符,默认为`; ',也可指定输出词频统计列名,默认为freq和word。
from zyf.file import count_word_freq
count_word_freq('文献.xlsx', col_name='关键词', sep='; ', to_col_freq='频数', to_col_word='单词', to_file='文献_关键词_统计.xlsx')
color
示例
from zyf.color import print_color, Foreground
print_color("这是什么颜色", foreground=Foreground.Red)
print_color("这是什么颜色", foreground=Foreground.White)
print_color("这是什么颜色", foreground=Foreground.Green)
print_color("这是什么颜色", foreground=Foreground.Black)
print_color("这是什么颜色", foreground=Foreground.Blue)
print_color("这是什么颜色", foreground=Foreground.Cyan)
print_color("这是什么颜色", foreground=Foreground.Purplish_red)
print_color("这是什么颜色", foreground=Foreground.Yellow)
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