map(func, *iterables) --> map objectMake an iterator that computes the function using arguments fromeach of the iterables. Stops when the shortest iterable is exhausted.
map(func, *iterables) --> map object
Spark Streaming属于Spark的核心api,它支持高吞吐量、支持容错的实时流数据处理。它可以接受来自Kafka, Flume, Twitter, ZeroMQ和TCP Socket的数据源,使用简单的api函数比如 map, reduce, join, window等操作,还可以直接使用内置的机器学习算法、图算法包来处理数据。感兴趣的朋友可以过来看看
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li = [1, 2, 3, 4, 5, 6, 7, 8, 9<span style="color: #000000">]
</span><span style="color: #008000">#</span><span style="color: #008000"> 自增1</span>
<span style="color: #0000ff">print</span>(list(map(<span style="color: #0000ff">lambda</span> x: x + 1<span style="color: #000000">, li)))
</span><span style="color: #008000">#</span><span style="color: #008000"> 自减1</span>
<span style="color: #0000ff">print</span>(list(map(<span style="color: #0000ff">lambda</span> x: x - 1<span style="color: #000000">, li)))
</span><span style="color: #008000">#</span><span style="color: #008000"> 平方</span>
<span style="color: #0000ff">print</span><span style="color: #000000">(
list(
map(</span><span style="color: #0000ff">lambda</span> x: x ** 2<span style="color: #000000">, li)
)
)</span>li = [1, 2, 3, 4, 5, 6, 7, 8, 9<span style="color: #000000">]
</span><span style="color: #008000">#</span><span style="color: #008000"> 自增1</span>
<span style="color: #0000ff">def</span><span style="color: #000000"> add1(x):
</span><span style="color: #0000ff">return</span> x + 1
<span style="color: #008000">#</span><span style="color: #008000"> 自减1</span>
<span style="color: #0000ff">def</span><span style="color: #000000"> red1(x):
</span><span style="color: #0000ff">return</span> x - 1
<span style="color: #008000">#</span><span style="color: #008000"> 平方</span>
<span style="color: #0000ff">def</span><span style="color: #000000"> square(x):
</span><span style="color: #0000ff">return</span> x ** 2
<span style="color: #0000ff">def</span><span style="color: #000000"> map_test(func, l):
tl </span>=<span style="color: #000000"> []
</span><span style="color: #0000ff">for</span> i <span style="color: #0000ff">in</span><span style="color: #000000"> l:
tl.append(func(i))
</span><span style="color: #0000ff">return</span><span style="color: #000000"> tl
</span><span style="color: #008000">#</span><span style="color: #008000"> 调用上面定义的函数</span>
<span style="color: #0000ff">print</span><span style="color: #000000">(map_test(add1, li))
</span><span style="color: #0000ff">print</span><span style="color: #000000">(map_test(red1, li))
</span><span style="color: #0000ff">print</span>(map_test(square, li))
li = [1, 2, 3, 4, 5, 6, 7, 8, 9<span style="color: #000000">]
</span><span style="color: #0000ff">def</span><span style="color: #000000"> map_test(func, l):
tl </span>=<span style="color: #000000"> []
</span><span style="color: #0000ff">for</span> i <span style="color: #0000ff">in</span><span style="color: #000000"> l:
tl.append(func(i))
</span><span style="color: #0000ff">return</span><span style="color: #000000"> tl
</span><span style="color: #0000ff">print</span>(map_test(<span style="color: #0000ff">lambda</span> x: x + 1<span style="color: #000000">, li))
</span><span style="color: #0000ff">print</span>(map_test(<span style="color: #0000ff">lambda</span> x: x - 1<span style="color: #000000">, li))
</span><span style="color: #0000ff">print</span>(map_test(<span style="color: #0000ff">lambda</span> x: x ** 2, li))
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