"Numpy"의 두 판 사이의 차이

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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
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=={{c|histogram}}==
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numpy.histogram(a, bins=10, range=None, normed=False, weights=None, density=None)
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>>> import matplotlib.pyplot as plt
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>>> rng = np.random.RandomState(10)  # deterministic random data
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>>> a = np.hstack((rng.normal(size=1000),
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...                rng.normal(loc=5, scale=2, size=1000)))
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>>> plt.hist(a, bins='auto')  # plt.hist passes it's arguments to np.histogram
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>>> plt.title("Histogram with 'auto' bins")
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>>> plt.show()
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https://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram.html

2017년 4월 20일 (목) 14:13 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