9 examples of 'convert list to numpy array' in Python

308
def to_array_(v):
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    return v.toArray().tolist()

17
def to_nd_float_array(list_obj):
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  return np.array(list_obj, dtype=np.float32)

162
def _convert_to_numpy(data):
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    """Returns tuple data with all elements converted to numpy ndarrays"""
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    if data is None:
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        return None
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    elif isinstance(data, tuple):
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        return tuple([_convert_to_numpy(d) for d in data])
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    elif isinstance(data, np.ndarray):
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        return data
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    elif isinstance(data, (pd.DataFrame, pd.Series)):
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        return data.to_numpy()
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    else:
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        raise Exception("Unsupported type %s" % str(type(data)))

95
def to_list(v):
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    if v is not None and np.isscalar(v):
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        return [v]
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    else:
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        return v

151
def list_of_pairs_to_numpy(l):
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    return np.asarray([x[1] for x in l], np.float32), np.asarray([x[0] for x in l], np.int)

55
def vec_to_array(vector: np.ndarray) -> np.ndarray:
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    """
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    Converts a 1D vector to 2D array with the length of the input vector
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    for example
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    >>> x = np.linspace(0, 1, 10)
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    >>> x.shape
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    (10,)
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    >>> vec_to_array(x).shape
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    (10, 1)
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    :param vector:
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    :return:
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    """
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    return vector.reshape((len(vector), 1))

356
def to_ndarray(data, copy=True):
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    if copy:
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        cp = lambda x: np.copy(x)
359
    else:
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        cp = lambda x: x
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    if str(type(data)) == "":
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        return cp(data.num)
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    elif isinstance(data, np.ndarray):
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        return cp(data)
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    elif isinstance(data, numbers.Number):
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        return data
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    elif isinstance(data, collections.Iterable):
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        return np.asarray(data)
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    else:
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        raise ValueError('Unknown type of data {}. Cannot add to list'
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                         .format(type(data)))

20
def scalar4_vec_to_np(array):
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    npa = np.empty((len(array), 4))
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    for i, e in enumerate(array):
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        npa[i,0] = e.x
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        npa[i,1] = e.y
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        npa[i,2] = e.z
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        npa[i,3] = e.w
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    return npa

69
def lst_2_array():
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    """
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    list, tuple to array
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    :return: none
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    """
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    tp = (1, 2, 3)
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    lst = [[1, 2], [3, 4]]
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    print np.array(lst).shape
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    # (2L, 2L)
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    print np.array(lst)
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    # [[1 2]
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    #   [3 4]]
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    print np.asarray(lst)
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    # [[1 2]
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    #   [3 4]]
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    print np.asarray(tp)