你即將離開本站

並前往https://www.oreilly.com/library/view/python-for-data/9781449323592/ch04.html

Chapter 4. NumPy Basics: Arrays and Vectorized Computation

Since NumPy is focused on numerical computing, the data type, if not specified, will in many cases be float64 (floating point). Table 4-1. Array creation ...

確定！ 回上一頁

查詢 「Numpy float32」的人也找了：

  1. float32範圍
    2.
  2. Numpy dtype
    3.
  3. Numpy .astype 'float32
    4.
  4. 'numpy.float64' object is not callable
    5.
  5. numpy.float64 to float
    6.
  6. numpy.float64 to int
    7.
  7. Numpy float to int
    8.
  8. Numpy astype uint8
    9.