"Numpy"의 두 판 사이의 차이

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이동: 둘러보기, 검색
19번째 줄: 19번째 줄:
 
  >>> plt.show()
 
  >>> plt.show()
 
https://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram.html
 
https://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram.html
 +
 +
==Array to column vector==
 +
<pre>>>> 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]])</pre>
 +
http://stackoverflow.com/a/17428859/766330

2017년 4월 29일 (토) 02:05 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

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