Методы и функции NumPy
Справочник функций и методов NumPy: математические операции, манипуляции с массивами, статистика, линейная алгебра.
- ``numpy.absolute()``
- ``numpy.add()``
- ``numpy.amax()``
- ``numpy.amin()``
- ``numpy.append()``
- ``numpy.apply_along_axis()``
- ``numpy.apply_over_axes()``
- ``numpy.arange()``
- ``numpy.arccos()``
- ``numpy.arcsin()``
- ``numpy.arctan()``
- ``numpy.arctan2()``
- ``numpy.argmax()``
- ``numpy.argmin()``
- ``numpy.argsort()``
- ``numpy.argwhere()``
- ``numpy.around()``
- ``numpy.asarray()``
- ``ndarray.astype()``
- ``numpy.average()``
- ``numpy.ceil()``
- ``numpy.clip()``
- ``numpy.concatenate()``
- ``numpy.copy()``
- ``numpy.correlate()``
- ``numpy.hanning()`` и косинусные окна
- ``numpy.cov()``
- ``numpy.cross()``
- ``numpy.cumsum()``
- ``numpy.delete()``
- ``numpy.linalg.det()``
- ``numpy.diag()``
- ``numpy.diff()``
- ``numpy.divide()``
- ``numpy.dstack()``
- ``numpy.empty()``
- ``numpy.exp()``
- ``numpy.eye()``
- ``ndarray.flatten()``
- ``numpy.flip()``
- ``numpy.floor()``
- ``numpy.frombuffer()``
- ``numpy.fromstring()``
- ``numpy.full()``
- ``numpy.histogram()``
- ``numpy.hstack()``
- ``numpy.hypot()``
- ``numpy.insert()``
- ``numpy.linspace()``
- ``numpy.loadtxt()``
- ``numpy.log()``
- ``numpy.log10()``
- ``numpy.logspace()``
- ``numpy.matmul()``
- ``numpy.matrix()``
- ``numpy.max()``
- ``numpy.maximum()``
- ``numpy.mean()``
- ``numpy.median()``
- ``numpy.meshgrid()``
- ``numpy.min()``
- ``numpy.minimum()``
- ``numpy.multiply()``
- ``numpy.nanmean()``
- ``numpy.nonzero()``
- ``numpy.linalg.norm()``
- ``numpy.ones()``
- ``numpy.pad()``
- ``numpy.percentile()``
- ``numpy.power()``
- ``numpy.prod()``
- ``numpy.ptp()``
- ``numpy.quantile()``
- ``numpy.ravel()``
- ``numpy.repeat()``
- ``numpy.reshape()``
- ``numpy.roll()``
- ``numpy.round()``
- ``numpy.shape()``
- ``numpy.sign()``
- ``numpy.sin()``
- ``numpy.sort()``
- ``numpy.split()``
- ``numpy.sqrt()``
- ``numpy.square()``
- ``numpy.squeeze()``
- ``numpy.stack()``
- ``numpy.std()``
- ``numpy.subtract()``
- ``numpy.sum()``
- ``numpy.tan()``
- ``numpy.tanh()``
- ``numpy.tile()``
- ``ndarray.tolist()``
- ``numpy.trace()``
- ``numpy.transpose()``
- ``numpy.trapz()``
- ``numpy.var()``
- ``numpy.vstack()``
- ``numpy.where()``
- ``numpy.zeros()``