哪个Python模块适合列表中的数据操作?

问题描述

我有一个x，y和z坐标序列，需要对其进行操作.它们位于三个元组的一个列表中，例如{(x1，y1，z1)，(x2，y2，z2)，...}.

I have a sequence of x, y and z -coordinates, which I need to manipulate. They are in one list of three tuples, like {(x1, y1, z1), (x2, y2, z2), ...}.

我需要加法，乘法和对数来处理我的数据.

I need addition, multiplication and logarithm to manipulate my data.

我想研究一个与Awk语言一样强大的模块.

I would like to study a module, which is as powerful as Awk -language.

推荐答案

如果需要很多数组操作，那么numpy是python中的最佳选择

If you need many array manipulation, then numpy is the best choice in python

>>> import numpy
>>> data = numpy.array([(2, 4, 8), (3, 6, 5), (7, 5, 2)])
>>> data
array([[2, 4, 8],
       [3, 6, 5],
       [7, 5, 2]])

>>> data.sum()  # product of all elements
42
>>> data.sum(axis=1)   # sum of elements in rows
array([14, 14, 14])
>>> data.sum(axis=0)   # sum of elements in columns
array([12, 15, 15])
>>> numpy.product(data, axis=1)   # product of elements in rows
array([64, 90, 70])
>>> numpy.product(data, axis=0)   # product of elements in columns
array([ 42, 120,  80])
>>> numpy.product(data)      # product of all elements
403200

或对数组进行元素明智的操作

or element wise operation with arrays

>>> x,y,z = map(numpy.array,[(2, 4, 8), (3, 6, 5), (7, 5, 2)])
>>> x
array([2, 4, 8])
>>> y
array([3, 6, 5])
>>> z
array([7, 5, 2])

>>> x*y
array([ 6, 24, 40])
>>> x*y*z
array([ 42, 120,  80])
>>> x+y+z
array([12, 15, 15])

明智的数学运算，例如

>>> numpy.log(data)
array([[ 0.69314718,  1.38629436,  2.07944154],
       [ 1.09861229,  1.79175947,  1.60943791],
       [ 1.94591015,  1.60943791,  0.69314718]])
>>> numpy.exp(x)
array([    7.3890561 ,    54.59815003,  2980.95798704])

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