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import sfi
import numpy as np
def array_from_mata(mat):
return np.array(sfi.Mata.get(mat))
def array_to_mata(arr, mat):
if not isinstance(arr, np.ndarray):
raise TypeError("An NumPy array is required.")
ndim = len(arr.shape)
if ndim < 1 or ndim >= 3:
raise TypeError("Dimension of array must not be greater than 2.")
nobs = len(arr)
if nobs == 0:
return None
dtype = arr.dtype.name
if dtype in ['bool_', 'bool8', 'byte']:
dtypestr = 'real'
elif dtype in ['short', 'intc', 'int8', 'int16', 'int32', 'ubyte', 'ushort', 'uintc', 'uint8', 'uint16']:
dtypestr = 'real'
elif dtype in ['int_', 'longlong', 'intp', 'int64', 'uint', 'ulonglong', 'uint32', 'uint64']:
dtypestr = 'real'
elif dtype in ['half', 'single', 'float16', 'float32']:
dtypestr = 'real'
elif dtype in ['double', 'float_', 'longfloat', 'float64', 'float96', 'float128']:
dtypestr = 'real'
elif dtype in ['csingle', 'cdouble', 'clongdouble', 'complex64', 'complex128', 'complex_']:
dtypestr = 'complex'
else:
dtypestr = 'string'
if ndim == 1:
if dtypestr=='real':
sfi.Mata.create(mat, 1, arr.shape[0], sfi.Missing.getValue())
elif dtypestr=='complex':
sfi.Mata.create(mat, 1, arr.shape[0], 0j)
else:
sfi.Mata.create(mat, 1, arr.shape[0], '')
sfi.Mata.store(mat, arr)
else:
if dtypestr=='real':
sfi.Mata.create(mat, arr.shape[0], arr.shape[1], sfi.Missing.getValue())
elif dtypestr=='complex':
sfi.Mata.create(mat, arr.shape[0], arr.shape[1], 0j)
else:
sfi.Mata.create(mat, arr.shape[0], arr.shape[1], '')
sfi.Mata.store(mat, arr)
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