January 2018
Intermediate to advanced
856 pages
17h 17m
Chinese
Content preview from Python 技術手冊 第三版
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數值陣列計算的擴充功能
|
501
tolist a.tolist()
創建並回傳帶有與
a
相同項目的一個串列物件，就像
list(a)
。
tostring,
tobytes
a.tostring() a.tobytes()
tostring
（僅限 v2）回傳帶有
a
所有項目的位元組（接受作為機器值）的
字串。對於任何
a
，
len(a.tostring()) == len(a)*a.itemsize
。
f.write(a.
tostring())
等同於
a.tofile(f)
。
tobytes
（僅限 v3），同樣地，會回傳表
示陣列項目的 bytes。
數值陣列計算的擴充功能
如你所見，Python 對於數值處理有非常好的支援。然而，第三方的程式
庫 SciPy 和套件，例如NumPy、Matplotlib、Sympy、IPython/Jupyter 與
pandas，提供了甚至更多的工具。我們會在此介紹 NumPy，然後提供 SciPy
與其他套件的簡短說明（參閱後面的「SciPy」），以及它們文件的連結。
NumPy
如果你需要輕量化的一維數字陣列，標準程式庫的
array
模組通常
就足夠了。如果你所做的是科學計算、進階的影像處理、多維陣列
（multidimensional arrays）、線性代數（linear algebra），或其他涉及大量
資料的應用，那麼第三方的 NumPy 套件能夠滿足你的需求。線上有相當
詳盡的說明文件（
https://docs.scipy.org/doc/
）； Travis Oliphant ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.