python语法学习之函数,类,模块
一:函数如果你需要在程序中重用代码,---------定义函数。 def 函数名(参数)://todo
如:http://www.iyunv.com/Joans/archive/2012/11/06/data:image/png;base64,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
输出:http://www.iyunv.com/Joans/archive/2012/11/06/data:image/png;base64,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
也可以将函数的参数定义为默认参数,注:默认参数一般放参数的最后,如:
http://www.iyunv.com/Joans/archive/2012/11/06/data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAk8AAABGCAIAAABaNefYAAAOHUlEQVR4nO2doXLjvhbGAwI60+nMjkQvubRgQWDvTtCCJSGZP8vMLgkIKQ0J+If1BQpM9hlCQrpPEbZk36UX2JGPpHOOZcepY+33m0yndWRJtlN/OceSvsl/BIzMqjg5ipVVSo6X3fG4e8rz0AbHPu2Ox93QvQAA/F1MOqgdAAAAMC6gdgAAAPIHagcAACB/oHYAAADyB2oHAGjmfTIJXm57UCzeUaowpdFWNbN1xj1vbDqxGBgXUDsAQDOBvNE/dcGTFEjfQlsJWuy9LRMpYlwJyIAktbP288/Jj9/TLyk1fr/78XtSvX4+iIP41++Tl/fp8mtVwD7fvbxPXv7cKzUv/0xe3v3X20NKl3ph/jbZvn66sBJ3CFJV15v5sCpOx93TNWoeCrtYHw4vh/18ttkeDi/F5tEYY2fL4vByqF/rhU06n4t9vdd+0eUSlN1wPUlprizpdjwUyw7tSrDnx3SdAeJkgI3tFIVolBZFZvTYLqUtqbmUHUFmpMZ21n7+maB29tOXX2miaL/eb4lczd+m2z9386Yb05KUsV/vt32r3TKhD51xemntw/p9sn4OG7Kr4lSsLmlidyxWV+v/rVEKW7F5LG/rTqLsYn3Yz+vfEwTPzpZFT0oz22xjtdsUTB8W+21x3t5jBxzS+THGrIrWM2WV2C5xx/S3WHFS/gwCzUDPOqdAQWZoamc/fflVR2m12tHtNOCjUd3vpliw1KpSXcLfSdj3+DqlMV9Z5vF16mKjskCpHPO3Omyqtr/dnQNBT8bKkmXNyz/T5VfXbv1yalT1gQvISLhZ1a+363h8ncZqtzt69yBLpvEHYVn9znFXhoP2aXc8ebiq3DtxbEf2qWSyLFwURbBdQikf97/q5PFYlCWrAtUu3iGcg4/osEhts2VxeNkvrF2sD4ftZsaonSHy44V9RFpoVEffqmIjP1wr46RSOWh8FjdXVRLGmrXqLPbbzabqKlW7uN2qkmK7L6PVqgBRSu64pPNj5PDOVteMueitFCjYUa9HirrYp4OKjLGFW7WVEgWC8SKqnbWff07++feTNVEm899ptd0Y87/7f6iqtYvt3h7s89329dP8bbJ+ti6uKje6kjTeYjOBVDnovo+vUypCbvv8rY4pH1+nNKGqxHa0BtcZt8U+3zlJltqtj90+rKOcrS0jO0vVbuX+pEK4Kk4uBHzaHU+nOvmpxHZPu2OgdrtjrX92VfgCU4tfY/5TKs/237rS5WFY+7Q7lm/RLO7T7nhqyrZZO98ftpuZtbNlQQK4QO3cn5uivuPPNttQGKLQyi7mrs5NUavUbLOlcaSudufd+dhuM7PlT1/tmHZ96VovrHXdkI5LOj+m+rAxOXNF7RyNj8raPktjc6FUPqViUiVsGV23oGp/A7LaPXz7df9fV87JmBfYVa9v392Npq3a2Yf1OXTzVU1TvkBCFLWLt7NKE9TPvhU0GudR5291PMr2p96RTWM+lYrgfwGPYjVrV4UsA+lqV4oMLbAqqtufkx9jjF0VKWrHluf7f44qXNq23D2OTZ0WSrGdBKt2cYxFM5y82vm7XEntyqY9tePadQXc0ZXd0I9LIUgkNCIFPSkP25QgTFemWMOkgExqTg9G2T6DXGmvduoDvLZqZ4yxzw+lwHjP5M4iEcgPq0YjUrsglPROiK92wbdvpyhjUTux/5LaqcfVCjaTae18Lz8Yi9XOBUaukiupXVXh5ixmQrui2qnHpdBW7RytYjsp2GrUOamhdHVMLxP0CpnMXNEzmXXQ9v2uzmR+v/tBhZDSQe0cjLBFgZGkdpWSfb3fkiSnpDp0dGUwYKR8hmeqMaJeW1wmk4wpJSKqtKsMOg0ymfTJisv+lX/S0ZUuIVj+6ZKBLk/o6ucymbUaUbFR1M4lumg9vNoJ/ZfUzvQ3atQbpWLn+3Oss9iLoyUZtYuCLap29HFamtpVAkZHzTi1s3a+Pz9yk9qV1E4/LokLM5k0VDKqLLEF4tqkJhIzmemxXUqf4+0gD9RRKg/f6nTl3Tf/0R2TyfQ3/vh991lp+DwkJBgh4oV3gd6QISFeeER2ny5f78qnem5oyfrZVtMbiBDSyQw0qehKuqarXKv3Or/lD2wp65HaVUbBOIKv2ySJdyyK48lTtTBDWPV/FY4WsXSsSPAWl2l0286P1rzM4ao4nfy7pFKe6f+OlD7XVY1zqR7dMf1shTIqxBizKZiMn7/xxSllPTHgsN3vt15S8bx9s1mXY0kqxZIypfXAk1p6vXEoi7V73sa0uzm3uJ+XVRWbRzpehj0u7SxdMEol2Gg45Wh8xtaYTkyP9tLLSNnXxKwsGDu3O7s8fuKVPZfPQLg2dGALGC8dZiAYOWjrIEJBeSXCY1uXGgrKdIgRkcnMmFtUu3p6ABcA5c0t++rF42jAGOk8u5z9Sd+Ny7NbGuUkRZzioC2lP4nyqWwB4+UW1Q4AAADoF6gdAACA/IHaAQAAyB+oHQAAgPyB2gEAAMgfqB0AAID8GZ/a9eIzxyL5gbHQub0sHVa4uGo9fSH5wA3Vz8t96Tq3e6Xjraeik/XP+qLxczsU1/78XF5/2+si+gu69R7kybW3PBOpG5evlNRt5gxlfGrXilZ+dYofGLvOIV0v8S/hGjZsFPY8K9xaf3rBrSh2eeu39rkd5Hz2RdvrIt1P3IK00qq2t7/KhMS1/TW7rYrgGEztln/qhb6CxcDKZb3I6l+edVxs98P6yaWs1BXA+oEpK1FVi/lGyzUpHtb1Ck/FtvE2fXk9ii/a+bjqhYkbvbMlHzipn2Un3RpX9BTF/ddX/Ervj+Q/V23fhyt4hVUVy3JNS/26N1+Xc/16u+f1xvyNcgyR/vnp8LmVfPLEJjj/v2HPJ0uH/6Nerovov9gU29EVBK/tH6lwg/6aF4Z3Q8Z2yz+BOAWLZFZrKNvnOypU8erMip9cu9hO9gOTviNTtWhcHZhuWeyTbiiX16P4ogXr96d8Y1ViKXY15OoGcV7OuGxX6X8vsZ3kUTDbbOlN0+uDtzZmfWNS+hMf76Yg2apw3UumXSPcVetDi270bT8/rT63iv8fi+T/N+D5VGj1f9TLdVHuJ8bTHv+GHvlcDuYfeXv+mtJq5okMrHaBjCm2cLRYrHbSjq3UTqExI5Ti/OIvHJx6W7+wHmXtfHpccf/12lL6KVWr9P/aahdv1x1z0u/OdrYs/K/8nqGP/DnhGuWj2w6fn/TPbQefPN6H7/bOJ1u/aX8++7ouVOXid+P1+a7qH6n08zb9NTs7VZmh1c6zMshe7Sj0u6rOhfXoaue63eJRxMVqp/QfakfrVzK6iZ+fFmrX0idP9OG74fPZ1//j5dfF+OYhXg1pandt/8ib9dccr9p5fm+sm2tMS7UT/epawfqTtVU7mikKHEcVLqxHVztT3oCSbxm9qJ3Sf/Y8t+2P5D8nXS86Wq/8nk5iX7E/DdeF3PSVz4mUMXO703qU8+aG/wWnotXnttWoRcX/b8DzqdDq/6iv6yLhNCMWDzaTeW3/yNi38kb9NcecyZyu36ZuFEntLc6NLpF85nQfu9ivrhuxPxn9iufe1X3OWpmQ9VJPnWsSfNEMd9+RYH3gpH7G28ktT+x/fJ7b9sc7auI/J12vuCr6VSDuj3Jd2Mye3q7yfCiOIZTztti/0MdjSv/Tz0PjJZD8/wY8nzHd/o/6ui4KUmxnuFEqpyv7R8a+lXz9Q/trjnqUipfJBIOQ/u0Y3Cx0QAcYOx8/A2EsvpWjnoEwcQMvwccz1Lxs0C/skD8waj5ydvlYfCsxuxwAAABoBmoHAAAgf6B2AAAA8gdqBwAAIH+gdgAAAPIHagf+Ut4nE/p7/BqwbwCA3hHVrjh58w2riX7qANB4IbaPnDVyuX+SIYcgVeXN/2/jh9eZD/D9Guk8BNE/LHmkspO0WNvoW9Krp+MAAHwEotrZ8xT8styqOB4TvIvoOmnxSmiXc1X/JKeXwXI4jmDWp+KH15ahfL/G4g/H1qOc/7azUGPZY4VQ+h0AcPuoalesqgVFg99J2Of+Kqtzy2272IiuW3OOD+tlbyQfo6H8kxx0rTZam7dMjuRfNRLfL8mvjq3fbWT96mKU41J81Fr53knn37SfiFpKFw3aoHYAZEaD2pWLcpbflF1cFazUSeMtNhMorfIp+RgN6J9UFebW+Y5Xa5X8q0bk+8XGdlL9xgm571enwB6X5KPW1vdO8Q9LWT2WZiP1X5DJBCADmtTuvLaoCVVNU75AQhS1450sBnWUCBb89rcn5VFH5PsVq51Sf3q1jvi4FB+1Hn3vTJoziC5pQRnldwDA7dOgdsbUDrbeM7mzSATyw6rRiNQuCCUpiWo3Lt+vAdQuzUftQt87017tUt6C2gEwXprVzsEIG2O1x6td7clEkpyS6gzln7QqtEGncSaTLzYq3y8hk8nXn15tXBU9LmmUaZ++d2k+WIGkSc/tkMkEIANEtSMP4OgIES+8C/SGDAnxbjRk9+Nu57kuST5GH++fpIyCoQeYMtJvFL5fJvTlYv3h/EysMFpEQfKrYy3B+vK9M8mjVGK1C34axHYA5EL32eXxE6/s+XjfKdCNxBkIQSSHMZkAZEwXtaPB1CXeemPkI32nQDd6n10eb2R3AQDcMlg5DPztBLrFRnhSAQDAWIDaAQAAyB9R7QAAAIBsgNoBAADIH6gdAACA/IHaAQAAyB+oHQAAgPyB2gEAAMgfqB0AAID8gdoBAADIH6gdAACA/IHaAQAAyB+oHQAAgPyB2gEAAMgfqB0AAID8gdoBAADIH6gdAACA/IHaAQAAyB+oHQAAgPyB2gEAAMgfqB0AAID8+T/0V5Y1R+hX5AAAAABJRU5ErkJggg==
输出:http://www.iyunv.com/Joans/archive/2012/11/06/data:image/png;base64,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
二:类
类的定义应该是放在面向对象的标题里,但是我们一般函数定义在类里面,从这个范围来说,我在这记录了类。
类和对象是面向对象编程的两个主要方面。类:创建一个新类型,而对象是这个类的实例,类使用class关键字创建。类的域和方法被列在一个缩进块中。
注意:在python语言中,不管什么类型的实例都被看做对象,如整数也被作为对象看待,它属于int类,这和其他语言c++,java把整数纯粹作为类型是不同的。
”域“的概念:
属于一个对象或类的变量被称为域,其实就是类里面定义的变量
域——类的变量和对象的变量
1:类的变量:由一个类的所有对象(实例)共享使用,只有一个类变量的拷贝,所以当某个对象对类的变量做了改动的时候,这个改动会反映到所有其他的实例上。我理解为:其实它就是一个类的全局变量,类实例化后的对象都可以调用该变量。
2:对象的变量: 由类的每个对象/实例拥有。因此每个对象有自己对这个域的一份拷贝,即它们不是共享的,在同一个类的不同实例中,虽然对象的变量有相同的名称,但是是互不相关的。我理解的是:不同的对象调用该变量,其值改变后互不影响,跟C#的语法一样,我还因为不理解第一点纠结了半天 !
属于类级别的变量,在使用它的时候一定要带上类型名字 比如 MyClass.count
属于每个对象级别的变量,在调用的时候一定要带上self表明属于当前对象。self.name
如:
http://www.iyunv.com/Joans/archive/2012/11/06/data:image/png;base64,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
输出:
http://www.iyunv.com/Joans/archive/2012/11/06/data:image/png;base64,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
域(变量)和方法(函数)可以合称为类的属性
类的方法:
类的方法与普通的函数只有一个特别的区别——它们必须有一个额外的第一个参数名称,但是在调用这个方法的时候你不为这个参数赋值,Python会提供这个值。这个特别的变量指对象本身,按照惯例它的名称是self。(类似于c#的this指针)
如:
http://www.iyunv.com/Joans/archive/2012/11/06/data:image/png;base64,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
__init__方法:属于python语言的构造函数,一个类只能有一个__init__方法
__del__方法:属于python语言的析构函数,它在对象消逝的时候被调用。
当对象不再被使用时,__del__方法运行,但是很难保证这个方法究竟在 什么时候 运行。如果你想要指明它的运行,你就得使用del语句
三:模块
模块:如果你想要在其他程序中重用很多函数--------定义模块。其实就是很多的类型,很多的方法集合在一个或多个文件中,通过import ** 载入,类似于c#中的dll
模块基本上就是一个包含了所有你定义的函数和变量的文件。为了在其他程序中重用模块,模块的文件名必须以.py为扩展名。
注意:每个模块都有自己的名称__name__,__name__作为模块的内置属性,它的作用就是检测.py文件的调用方式,然后根据__name__做出相应的处理。
模块有两种调用方式:1:被import载入调用2:直接使用
如果模块直接执行,__name__="__main__";通常,此语句用于模块测试中使用。
例如:定义一模块名字为MyModule.py
http://www.iyunv.com/Joans/archive/2012/11/06/data:image/png;base64,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
直接运行输出:http://www.iyunv.com/Joans/archive/2012/11/06/data:image/png;base64,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
通过其他模块调用:
调用模块代码:
http://www.iyunv.com/Joans/archive/2012/11/06/data:image/png;base64,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
间接调用运行输出:
http://www.iyunv.com/Joans/archive/2012/11/06/data:image/png;base64,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
导入部分类,函数及变量,可以使用from...import... 例如 from MyModule import ModuleClass
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