实现斐波那契数列的集中方法
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返回一个数
def fib(max): n, a, b = 0, 0, 1 while n < max: print(b) a, b = b, a+b n += 1 fib(5)
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返回列表
def fib(max): res = [] n, a, b = 0, 0, 1 while n < max: res.append(b) a, b = b, a+b n += 1 return res fib(5)
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使用可迭代对象
from collections import Iterator class Fib(Iterator): def __init__(self, max): self.max = max self.index = 0 self.a = 0 self.b = 1 def __next__(self): if self.index < self.max: res = self.b self.a, self.b = self.b , self.b + self.a self.index += 1 return res else: raise StopIteration # StopIteration() def __iter__(self): return self for x in Fib(5): print(x)
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使用yield 生成器
def fib4(max): n, a, b = 0, 0, 1 while n < max: yield b a, b = b, a+b n += 1 f = fib4(5) for i in range(6): print('%s: %s' % (i,next(f)))
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yield防止读大文件出现内存不够的问题
def read_by_chunk(filename): BLOCK_SIZE = 1024 with open(filename, 'rb') as f: while True: block = f.read(BLOCK_SIZE) if block: yield block else: return
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使用pandas读文件,类似5的操作
import pandas as pd reader = pd.read_table('AA.csv', chunksize=1024) for chunk in reader: print(chunk)
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使用pandas读文件,运行时才制定块大小
import pandas as pd reader = pd.read_csv('AA.csv', sep='|', iterator=True) while True: try: chunk = reader.get_chunk(5) print(chunk) except: break
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yield生成斐波那契数列的迭代对象
class Fib: def __init__(self, start, end): self.start = start self.end = end def __iter__(self): index, a, b = 0, 0, 1 while index < self.start: a, b = b, a+b index += 1 while index <= self.end: yield b a, b = b, a+b index += 1 for i in Fib(1,10): print(i)
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yield生成质数的迭代对象
class PrimeNum: def __init__(self, start, end): self.start = start self.end = end def is_prime(self, num): if num < 2: return False for i in range(2,num): if num%i == 0: return False return True def __iter__(self): for i in range(self.start, self.end): if self.is_prime(i): yield i for i in PrimeNum(1, 20): print(i)
注: 参考了runoob