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import sfi
import numpy as np
def _get_varname(arr):
return [str(e) for e in arr]
def _add_var(name, type, stfr=None):
if stfr is None:
if type=="byte":
sfi.Data.addVarByte(name)
elif type=="int":
sfi.Data.addVarInt(name)
elif type=="long":
sfi.Data.addVarLong(name)
elif type=="float":
sfi.Data.addVarFloat(name)
elif type=="double":
sfi.Data.addVarDouble(name)
else:
sfi.Data.addVarStr(name, 9)
else:
if type=="byte":
stfr.addVarByte(name)
elif type=="int":
stfr.addVarInt(name)
elif type=="long":
stfr.addVarLong(name)
elif type=="float":
stfr.addVarFloat(name)
elif type=="double":
stfr.addVarDouble(name)
else:
stfr.addVarStr(name, 9)
def array_to_stata(arr, stfr, prefix):
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
vtype = arr.dtype.name
if vtype in ['bool_', 'bool8', 'byte']:
vtypestr = 'byte'
elif vtype in ['short', 'intc', 'int8', 'int16', 'int32', 'ubyte', 'ushort', 'uintc', 'uint8', 'uint16']:
vtypestr = 'int'
elif vtype in ['int_', 'longlong', 'intp', 'int64', 'uint', 'ulonglong', 'uint32', 'uint64']:
vtypestr = 'long'
elif vtype in ['half', 'single', 'float16', 'float32']:
vtypestr = 'float'
elif vtype in ['double', 'float_', 'longfloat', 'float64', 'float96', 'float128']:
vtypestr = 'double'
else:
vtypestr = 'str'
if stfr is None:
sfi.Data.setObsTotal(nobs)
if ndim == 1:
_add_var(prefix+"1", vtypestr)
sfi.Data.store(0, None, arr)
else:
ncol = arr.shape[1]
for col in range(ncol):
_add_var(prefix+str(col+1), vtypestr)
dta = arr[:,col]
sfi.Data.store(col, None, dta)
else:
fr = sfi.Frame.create(stfr)
fr.setObsTotal(nobs)
if ndim == 1:
_add_var(prefix+"1", vtypestr, fr)
fr.store(0, None, arr)
else:
ncol = arr.shape[1]
for col in range(ncol):
_add_var(prefix+str(col+1), vtypestr, fr)
dta = arr[:,col]
fr.store(col, None, dta)
def array_from_stata(stfr, var, obs, selectvar, valuelabel, missingval):
if stfr is None:
nobs = sfi.Data.getObsTotal()
if nobs <= 0:
return None
if missingval is None:
return(np.array(sfi.Data.get(var, obs, selectvar, valuelabel)))
else:
return(np.array(sfi.Data.get(var, obs, selectvar, valuelabel, missingval)))
else:
fr = sfi.Frame.connect(stfr)
nobs = fr.getObsTotal()
if nobs <= 0:
return None
if missingval is None:
return(np.array(fr.get(var, obs, selectvar, valuelabel)))
else:
return(np.array(fr.get(var, obs, selectvar, valuelabel, missingval)))
def array_from_matrix(stmat):
return np.array(stmat)
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