"Numpy"의 두 판 사이의 차이

ph
이동: 둘러보기, 검색
7번째 줄: 7번째 줄:
 
  numpy.loadtxt(fname, dtype=<type 'float'>, comments='#', delimiter=None, converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0)
 
  numpy.loadtxt(fname, dtype=<type 'float'>, comments='#', delimiter=None, converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0)
 
https://docs.scipy.org/doc/numpy/reference/generated/numpy.loadtxt.html
 
https://docs.scipy.org/doc/numpy/reference/generated/numpy.loadtxt.html
 +
<br>cf. [https://docs.scipy.org/doc/numpy/reference/generated/numpy.fromstring.html {{c|fromstring}} ]
 +
* {{c|fromstring}}쓸 때, sep argument로 아무것도 넘겨주지 않으면 binary취급함에 주의. 탭구분자등은 <code>sep=' '</code>와 같이 공백만 주어도 된다.
  
 
=={{c|histogram}}==
 
=={{c|histogram}}==

2017년 4월 29일 (토) 02:08 판

bincount

Count number of occurrences of each value in array of non-negative ints.

numpy.bincount(x, weights=None, minlength=None)

https://docs.scipy.org/doc/numpy/reference/generated/numpy.bincount.html

loadtxt

numpy.loadtxt(fname, dtype=<type 'float'>, comments='#', delimiter=None, converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0)

https://docs.scipy.org/doc/numpy/reference/generated/numpy.loadtxt.html
cf. fromstring

  • fromstring쓸 때, sep argument로 아무것도 넘겨주지 않으면 binary취급함에 주의. 탭구분자등은 sep=' '와 같이 공백만 주어도 된다.

histogram

numpy.histogram(a, bins=10, range=None, normed=False, weights=None, density=None)
>>> import matplotlib.pyplot as plt
>>> rng = np.random.RandomState(10)  # deterministic random data
>>> a = np.hstack((rng.normal(size=1000),
...                rng.normal(loc=5, scale=2, size=1000)))
>>> plt.hist(a, bins='auto')  # plt.hist passes it's arguments to np.histogram
>>> plt.title("Histogram with 'auto' bins")
>>> plt.show()

https://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram.html

Array to column vector

>>> a = np.array([1, 2, 3])
>>> a
array([1, 2, 3])
>>> a[:, np.newaxis]
array([[1],
       [2],
       [3]])
>>> a[np.newaxis, :]
array([[1, 2, 3]])

http://stackoverflow.com/a/17428859/766330