def _masked_rec_array_to_mgr(data, index, columns, dtype, copy):
""" extract from a masked rec array and create the manager """
# essentially process a record array then fill it
fill_value = data.fill_value
fdata = ma.getdata(data)
if index is None:
index = _get_names_from_index(fdata)
if index is None:
index = _default_index(len(data))
index = _ensure_index(index)
if columns is not None:
columns = _ensure_index(columns)
arrays, arr_columns = _to_arrays(fdata, columns)
# fill if needed
new_arrays = []
for fv, arr, col in zip(fill_value, arrays, arr_columns):
mask = ma.getmaskarray(data[col])
if mask.any():
arr, fv = _maybe_upcast(arr, fill_value=fv, copy=True)
arr[mask] = fv
new_arrays.append(arr)
# create the manager
arrays, arr_columns = _reorder_arrays(new_arrays, arr_columns, columns)
if columns is None:
columns = arr_columns
mgr = _arrays_to_mgr(arrays, arr_columns, index, columns)
if copy:
mgr = mgr.copy()
return mgr
python类getdata()的实例源码
frame.py 文件源码
项目：PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda
作者: SignalMedia
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文件源码
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def test_set_fields(self):
# Tests setting fields.
base = self.base.copy()
mbase = base.view(mrecarray)
mbase = mbase.copy()
mbase.fill_value = (999999, 1e20, 'N/A')
# Change the data, the mask should be conserved
mbase.a._data[:] = 5
assert_equal(mbase['a']._data, [5, 5, 5, 5, 5])
assert_equal(mbase['a']._mask, [0, 1, 0, 0, 1])
# Change the elements, and the mask will follow
mbase.a = 1
assert_equal(mbase['a']._data, [1]*5)
assert_equal(ma.getmaskarray(mbase['a']), [0]*5)
# Use to be _mask, now it's recordmask
assert_equal(mbase.recordmask, [False]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 0),
(0, 1, 1),
(0, 0, 0),
(0, 0, 0),
(0, 1, 1)],
dtype=bool))
# Set a field to mask ........................
mbase.c = masked
# Use to be mask, and now it's still mask !
assert_equal(mbase.c.mask, [1]*5)
assert_equal(mbase.c.recordmask, [1]*5)
assert_equal(ma.getmaskarray(mbase['c']), [1]*5)
assert_equal(ma.getdata(mbase['c']), [asbytes('N/A')]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 1),
(0, 1, 1),
(0, 0, 1),
(0, 0, 1),
(0, 1, 1)],
dtype=bool))
# Set fields by slices .......................
mbase = base.view(mrecarray).copy()
mbase.a[3:] = 5
assert_equal(mbase.a, [1, 2, 3, 5, 5])
assert_equal(mbase.a._mask, [0, 1, 0, 0, 0])
mbase.b[3:] = masked
assert_equal(mbase.b, base['b'])
assert_equal(mbase.b._mask, [0, 1, 0, 1, 1])
# Set fields globally..........................
ndtype = [('alpha', '|S1'), ('num', int)]
data = ma.array([('a', 1), ('b', 2), ('c', 3)], dtype=ndtype)
rdata = data.view(MaskedRecords)
val = ma.array([10, 20, 30], mask=[1, 0, 0])
with warnings.catch_warnings():
warnings.simplefilter("ignore")
rdata['num'] = val
assert_equal(rdata.num, val)
assert_equal(rdata.num.mask, [1, 0, 0])
def test_set_fields(self):
# Tests setting fields.
base = self.base.copy()
mbase = base.view(mrecarray)
mbase = mbase.copy()
mbase.fill_value = (999999, 1e20, 'N/A')
# Change the data, the mask should be conserved
mbase.a._data[:] = 5
assert_equal(mbase['a']._data, [5, 5, 5, 5, 5])
assert_equal(mbase['a']._mask, [0, 1, 0, 0, 1])
# Change the elements, and the mask will follow
mbase.a = 1
assert_equal(mbase['a']._data, [1]*5)
assert_equal(ma.getmaskarray(mbase['a']), [0]*5)
# Use to be _mask, now it's recordmask
assert_equal(mbase.recordmask, [False]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 0),
(0, 1, 1),
(0, 0, 0),
(0, 0, 0),
(0, 1, 1)],
dtype=bool))
# Set a field to mask ........................
mbase.c = masked
# Use to be mask, and now it's still mask !
assert_equal(mbase.c.mask, [1]*5)
assert_equal(mbase.c.recordmask, [1]*5)
assert_equal(ma.getmaskarray(mbase['c']), [1]*5)
assert_equal(ma.getdata(mbase['c']), [asbytes('N/A')]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 1),
(0, 1, 1),
(0, 0, 1),
(0, 0, 1),
(0, 1, 1)],
dtype=bool))
# Set fields by slices .......................
mbase = base.view(mrecarray).copy()
mbase.a[3:] = 5
assert_equal(mbase.a, [1, 2, 3, 5, 5])
assert_equal(mbase.a._mask, [0, 1, 0, 0, 0])
mbase.b[3:] = masked
assert_equal(mbase.b, base['b'])
assert_equal(mbase.b._mask, [0, 1, 0, 1, 1])
# Set fields globally..........................
ndtype = [('alpha', '|S1'), ('num', int)]
data = ma.array([('a', 1), ('b', 2), ('c', 3)], dtype=ndtype)
rdata = data.view(MaskedRecords)
val = ma.array([10, 20, 30], mask=[1, 0, 0])
with warnings.catch_warnings():
warnings.simplefilter("ignore")
rdata['num'] = val
assert_equal(rdata.num, val)
assert_equal(rdata.num.mask, [1, 0, 0])
test_mrecords.py 文件源码
项目：PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda
作者: SignalMedia
项目源码
文件源码
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def test_set_fields(self):
# Tests setting fields.
base = self.base.copy()
mbase = base.view(mrecarray)
mbase = mbase.copy()
mbase.fill_value = (999999, 1e20, 'N/A')
# Change the data, the mask should be conserved
mbase.a._data[:] = 5
assert_equal(mbase['a']._data, [5, 5, 5, 5, 5])
assert_equal(mbase['a']._mask, [0, 1, 0, 0, 1])
# Change the elements, and the mask will follow
mbase.a = 1
assert_equal(mbase['a']._data, [1]*5)
assert_equal(ma.getmaskarray(mbase['a']), [0]*5)
# Use to be _mask, now it's recordmask
assert_equal(mbase.recordmask, [False]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 0),
(0, 1, 1),
(0, 0, 0),
(0, 0, 0),
(0, 1, 1)],
dtype=bool))
# Set a field to mask ........................
mbase.c = masked
# Use to be mask, and now it's still mask !
assert_equal(mbase.c.mask, [1]*5)
assert_equal(mbase.c.recordmask, [1]*5)
assert_equal(ma.getmaskarray(mbase['c']), [1]*5)
assert_equal(ma.getdata(mbase['c']), [asbytes('N/A')]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 1),
(0, 1, 1),
(0, 0, 1),
(0, 0, 1),
(0, 1, 1)],
dtype=bool))
# Set fields by slices .......................
mbase = base.view(mrecarray).copy()
mbase.a[3:] = 5
assert_equal(mbase.a, [1, 2, 3, 5, 5])
assert_equal(mbase.a._mask, [0, 1, 0, 0, 0])
mbase.b[3:] = masked
assert_equal(mbase.b, base['b'])
assert_equal(mbase.b._mask, [0, 1, 0, 1, 1])
# Set fields globally..........................
ndtype = [('alpha', '|S1'), ('num', int)]
data = ma.array([('a', 1), ('b', 2), ('c', 3)], dtype=ndtype)
rdata = data.view(MaskedRecords)
val = ma.array([10, 20, 30], mask=[1, 0, 0])
with warnings.catch_warnings():
warnings.simplefilter("ignore")
rdata['num'] = val
assert_equal(rdata.num, val)
assert_equal(rdata.num.mask, [1, 0, 0])
def test_set_fields(self):
# Tests setting fields.
base = self.base.copy()
mbase = base.view(mrecarray)
mbase = mbase.copy()
mbase.fill_value = (999999, 1e20, 'N/A')
# Change the data, the mask should be conserved
mbase.a._data[:] = 5
assert_equal(mbase['a']._data, [5, 5, 5, 5, 5])
assert_equal(mbase['a']._mask, [0, 1, 0, 0, 1])
# Change the elements, and the mask will follow
mbase.a = 1
assert_equal(mbase['a']._data, [1]*5)
assert_equal(ma.getmaskarray(mbase['a']), [0]*5)
# Use to be _mask, now it's recordmask
assert_equal(mbase.recordmask, [False]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 0),
(0, 1, 1),
(0, 0, 0),
(0, 0, 0),
(0, 1, 1)],
dtype=bool))
# Set a field to mask ........................
mbase.c = masked
# Use to be mask, and now it's still mask !
assert_equal(mbase.c.mask, [1]*5)
assert_equal(mbase.c.recordmask, [1]*5)
assert_equal(ma.getmaskarray(mbase['c']), [1]*5)
assert_equal(ma.getdata(mbase['c']), [asbytes('N/A')]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 1),
(0, 1, 1),
(0, 0, 1),
(0, 0, 1),
(0, 1, 1)],
dtype=bool))
# Set fields by slices .......................
mbase = base.view(mrecarray).copy()
mbase.a[3:] = 5
assert_equal(mbase.a, [1, 2, 3, 5, 5])
assert_equal(mbase.a._mask, [0, 1, 0, 0, 0])
mbase.b[3:] = masked
assert_equal(mbase.b, base['b'])
assert_equal(mbase.b._mask, [0, 1, 0, 1, 1])
# Set fields globally..........................
ndtype = [('alpha', '|S1'), ('num', int)]
data = ma.array([('a', 1), ('b', 2), ('c', 3)], dtype=ndtype)
rdata = data.view(MaskedRecords)
val = ma.array([10, 20, 30], mask=[1, 0, 0])
with warnings.catch_warnings():
warnings.simplefilter("ignore")
rdata['num'] = val
assert_equal(rdata.num, val)
assert_equal(rdata.num.mask, [1, 0, 0])
def test_set_fields(self):
# Tests setting fields.
base = self.base.copy()
mbase = base.view(mrecarray)
mbase = mbase.copy()
mbase.fill_value = (999999, 1e20, 'N/A')
# Change the data, the mask should be conserved
mbase.a._data[:] = 5
assert_equal(mbase['a']._data, [5, 5, 5, 5, 5])
assert_equal(mbase['a']._mask, [0, 1, 0, 0, 1])
# Change the elements, and the mask will follow
mbase.a = 1
assert_equal(mbase['a']._data, [1]*5)
assert_equal(ma.getmaskarray(mbase['a']), [0]*5)
# Use to be _mask, now it's recordmask
assert_equal(mbase.recordmask, [False]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 0),
(0, 1, 1),
(0, 0, 0),
(0, 0, 0),
(0, 1, 1)],
dtype=bool))
# Set a field to mask ........................
mbase.c = masked
# Use to be mask, and now it's still mask !
assert_equal(mbase.c.mask, [1]*5)
assert_equal(mbase.c.recordmask, [1]*5)
assert_equal(ma.getmaskarray(mbase['c']), [1]*5)
assert_equal(ma.getdata(mbase['c']), [asbytes('N/A')]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 1),
(0, 1, 1),
(0, 0, 1),
(0, 0, 1),
(0, 1, 1)],
dtype=bool))
# Set fields by slices .......................
mbase = base.view(mrecarray).copy()
mbase.a[3:] = 5
assert_equal(mbase.a, [1, 2, 3, 5, 5])
assert_equal(mbase.a._mask, [0, 1, 0, 0, 0])
mbase.b[3:] = masked
assert_equal(mbase.b, base['b'])
assert_equal(mbase.b._mask, [0, 1, 0, 1, 1])
# Set fields globally..........................
ndtype = [('alpha', '|S1'), ('num', int)]
data = ma.array([('a', 1), ('b', 2), ('c', 3)], dtype=ndtype)
rdata = data.view(MaskedRecords)
val = ma.array([10, 20, 30], mask=[1, 0, 0])
with warnings.catch_warnings():
warnings.simplefilter("ignore")
rdata['num'] = val
assert_equal(rdata.num, val)
assert_equal(rdata.num.mask, [1, 0, 0])
def test_set_fields(self):
# Tests setting fields.
base = self.base.copy()
mbase = base.view(mrecarray)
mbase = mbase.copy()
mbase.fill_value = (999999, 1e20, 'N/A')
# Change the data, the mask should be conserved
mbase.a._data[:] = 5
assert_equal(mbase['a']._data, [5, 5, 5, 5, 5])
assert_equal(mbase['a']._mask, [0, 1, 0, 0, 1])
# Change the elements, and the mask will follow
mbase.a = 1
assert_equal(mbase['a']._data, [1]*5)
assert_equal(ma.getmaskarray(mbase['a']), [0]*5)
# Use to be _mask, now it's recordmask
assert_equal(mbase.recordmask, [False]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 0),
(0, 1, 1),
(0, 0, 0),
(0, 0, 0),
(0, 1, 1)],
dtype=bool))
# Set a field to mask ........................
mbase.c = masked
# Use to be mask, and now it's still mask !
assert_equal(mbase.c.mask, [1]*5)
assert_equal(mbase.c.recordmask, [1]*5)
assert_equal(ma.getmaskarray(mbase['c']), [1]*5)
assert_equal(ma.getdata(mbase['c']), [asbytes('N/A')]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 1),
(0, 1, 1),
(0, 0, 1),
(0, 0, 1),
(0, 1, 1)],
dtype=bool))
# Set fields by slices .......................
mbase = base.view(mrecarray).copy()
mbase.a[3:] = 5
assert_equal(mbase.a, [1, 2, 3, 5, 5])
assert_equal(mbase.a._mask, [0, 1, 0, 0, 0])
mbase.b[3:] = masked
assert_equal(mbase.b, base['b'])
assert_equal(mbase.b._mask, [0, 1, 0, 1, 1])
# Set fields globally..........................
ndtype = [('alpha', '|S1'), ('num', int)]
data = ma.array([('a', 1), ('b', 2), ('c', 3)], dtype=ndtype)
rdata = data.view(MaskedRecords)
val = ma.array([10, 20, 30], mask=[1, 0, 0])
rdata['num'] = val
assert_equal(rdata.num, val)
assert_equal(rdata.num.mask, [1, 0, 0])
def test_set_fields(self):
# Tests setting fields.
base = self.base.copy()
mbase = base.view(mrecarray)
mbase = mbase.copy()
mbase.fill_value = (999999, 1e20, 'N/A')
# Change the data, the mask should be conserved
mbase.a._data[:] = 5
assert_equal(mbase['a']._data, [5, 5, 5, 5, 5])
assert_equal(mbase['a']._mask, [0, 1, 0, 0, 1])
# Change the elements, and the mask will follow
mbase.a = 1
assert_equal(mbase['a']._data, [1]*5)
assert_equal(ma.getmaskarray(mbase['a']), [0]*5)
# Use to be _mask, now it's recordmask
assert_equal(mbase.recordmask, [False]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 0),
(0, 1, 1),
(0, 0, 0),
(0, 0, 0),
(0, 1, 1)],
dtype=bool))
# Set a field to mask ........................
mbase.c = masked
# Use to be mask, and now it's still mask !
assert_equal(mbase.c.mask, [1]*5)
assert_equal(mbase.c.recordmask, [1]*5)
assert_equal(ma.getmaskarray(mbase['c']), [1]*5)
assert_equal(ma.getdata(mbase['c']), [asbytes('N/A')]*5)
assert_equal(mbase._mask.tolist(),
np.array([(0, 0, 1),
(0, 1, 1),
(0, 0, 1),
(0, 0, 1),
(0, 1, 1)],
dtype=bool))
# Set fields by slices .......................
mbase = base.view(mrecarray).copy()
mbase.a[3:] = 5
assert_equal(mbase.a, [1, 2, 3, 5, 5])
assert_equal(mbase.a._mask, [0, 1, 0, 0, 0])
mbase.b[3:] = masked
assert_equal(mbase.b, base['b'])
assert_equal(mbase.b._mask, [0, 1, 0, 1, 1])
# Set fields globally..........................
ndtype = [('alpha', '|S1'), ('num', int)]
data = ma.array([('a', 1), ('b', 2), ('c', 3)], dtype=ndtype)
rdata = data.view(MaskedRecords)
val = ma.array([10, 20, 30], mask=[1, 0, 0])
with warnings.catch_warnings():
warnings.simplefilter("ignore")
rdata['num'] = val
assert_equal(rdata.num, val)
assert_equal(rdata.num.mask, [1, 0, 0])
