本文整理汇总了Python中Orange.data.TimeVariable.make方法的典型用法代码示例。如果您正苦于以下问题：Python TimeVariable.make方法的具体用法？Python TimeVariable.make怎么用？Python TimeVariable.make使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Orange.data.TimeVariable的用法示例。
在下文中一共展示了TimeVariable.make方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: transpose_table
# 需要导入模块: from Orange.data import TimeVariable [as 别名]
# 或者: from Orange.data.TimeVariable import make [as 别名]
def transpose_table(table):
"""
Transpose the rows and columns of the table.
Args:
table: Data in :obj:`Orange.data.Table`
Returns:
Transposed :obj:`Orange.data.Table`. (Genes as columns)
"""
attrs = table.domain.attributes
attr = [ContinuousVariable.make(ex['Gene'].value) for ex in table]
# Set metas
new_metas = [StringVariable.make(name) if name is not 'Time' else TimeVariable.make(name)
for name in sorted(table.domain.variables[0].attributes.keys())]
domain = Domain(attr, metas=new_metas)
meta_values = [[exp.attributes[var.name] for var in domain.metas] for exp in attrs]
return Table(domain, table.X.transpose(), metas=meta_values)示例2: _guess_variable
# 需要导入模块: from Orange.data import TimeVariable [as 别名]
# 或者: from Orange.data.TimeVariable import make [as 别名]
def _guess_variable(self, field_name, field_metadata, inspect_table):
type_code = field_metadata[0]
FLOATISH_TYPES = (700, 701, 1700) # real, float8, numeric
INT_TYPES = (20, 21, 23) # bigint, int, smallint
CHAR_TYPES = (25, 1042, 1043,) # text, char, varchar
BOOLEAN_TYPES = (16,) # bool
DATE_TYPES = (1082, 1114, 1184, ) # date, timestamp, timestamptz
# time, timestamp, timestamptz, timetz
TIME_TYPES = (1083, 1114, 1184, 1266,)
if type_code in FLOATISH_TYPES:
return ContinuousVariable.make(field_name)
if type_code in TIME_TYPES + DATE_TYPES:
tv = TimeVariable.make(field_name)
tv.have_date |= type_code in DATE_TYPES
tv.have_time |= type_code in TIME_TYPES
return tv
if type_code in INT_TYPES: # bigint, int, smallint
if inspect_table:
values = self.get_distinct_values(field_name, inspect_table)
if values:
return DiscreteVariable.make(field_name, values)
return ContinuousVariable.make(field_name)
if type_code in BOOLEAN_TYPES:
return DiscreteVariable.make(field_name, ['false', 'true'])
if type_code in CHAR_TYPES:
if inspect_table:
values = self.get_distinct_values(field_name, inspect_table)
# remove trailing spaces
values = [v.rstrip() for v in values]
if values:
return DiscreteVariable.make(field_name, values)
return StringVariable.make(field_name)示例3: read
# 需要导入模块: from Orange.data import TimeVariable [as 别名]
# 或者: from Orange.data.TimeVariable import make [as 别名]
def read(self):
try:
import opusFC
except ImportError:
raise RuntimeError(self._OPUS_WARNING)
if self.sheet:
db = self.sheet
else:
db = self.sheets[0]
db = tuple(db.split(" "))
dim = db[1]
try:
data = opusFC.getOpusData(self.filename, db)
except Exception:
raise IOError("Couldn't load spectrum from " + self.filename)
attrs, clses, metas = [], [], []
attrs = [ContinuousVariable.make(repr(data.x[i]))
for i in range(data.x.shape[0])]
y_data = None
meta_data = None
if type(data) == opusFC.MultiRegionDataReturn:
y_data = []
meta_data = []
metas.extend([ContinuousVariable.make('map_x'),
ContinuousVariable.make('map_y'),
StringVariable.make('map_region'),
TimeVariable.make('start_time')])
for region in data.regions:
y_data.append(region.spectra)
mapX = region.mapX
mapY = region.mapY
map_region = np.full_like(mapX, region.title, dtype=object)
start_time = region.start_time
meta_region = np.column_stack((mapX, mapY,
map_region, start_time))
meta_data.append(meta_region.astype(object))
y_data = np.vstack(y_data)
meta_data = np.vstack(meta_data)
elif type(data) == opusFC.MultiRegionTRCDataReturn:
y_data = []
meta_data = []
metas.extend([ContinuousVariable.make('map_x'),
ContinuousVariable.make('map_y'),
StringVariable.make('map_region')])
attrs = [ContinuousVariable.make(repr(data.labels[i]))
for i in range(len(data.labels))]
for region in data.regions:
y_data.append(region.spectra)
mapX = region.mapX
mapY = region.mapY
map_region = np.full_like(mapX, region.title, dtype=object)
meta_region = np.column_stack((mapX, mapY, map_region))
meta_data.append(meta_region.astype(object))
y_data = np.vstack(y_data)
meta_data = np.vstack(meta_data)
elif type(data) == opusFC.ImageDataReturn:
metas.extend([ContinuousVariable.make('map_x'),
ContinuousVariable.make('map_y')])
data_3D = data.spectra
for i in np.ndindex(data_3D.shape[:1]):
map_y = np.full_like(data.mapX, data.mapY[i])
coord = np.column_stack((data.mapX, map_y))
if y_data is None:
y_data = data_3D[i]
meta_data = coord.astype(object)
else:
y_data = np.vstack((y_data, data_3D[i]))
meta_data = np.vstack((meta_data, coord))
elif type(data) == opusFC.ImageTRCDataReturn:
metas.extend([ContinuousVariable.make('map_x'),
ContinuousVariable.make('map_y')])
attrs = [ContinuousVariable.make(repr(data.labels[i]))
for i in range(len(data.labels))]
data_3D = data.traces
for i in np.ndindex(data_3D.shape[:1]):
map_y = np.full_like(data.mapX, data.mapY[i])
coord = np.column_stack((data.mapX, map_y))
if y_data is None:
y_data = data_3D[i]
meta_data = coord.astype(object)
else:
y_data = np.vstack((y_data, data_3D[i]))
meta_data = np.vstack((meta_data, coord))
elif type(data) == opusFC.TimeResolvedTRCDataReturn:
y_data = data.traces
#.........这里部分代码省略.........