Definition at line 37 of file baseColumnViewContinued.py.
◆ __getitem__()
def lsst.afw.table.baseColumnView.baseColumnViewContinued._BaseColumnViewBase.__getitem__ |
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key |
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Get a column view; key may be a key object or the name of a field.
Definition at line 55 of file baseColumnViewContinued.py.
55 def __getitem__(self, key):
56 """Get a column view; key may be a key object or the name of a field. 58 if isinstance(key, str):
59 keyobj = self.schema.find(key).key
62 return self._basicget(keyobj)
◆ __setitem__()
def lsst.afw.table.baseColumnView.baseColumnViewContinued._BaseColumnViewBase.__setitem__ |
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key, |
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value |
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Set a full column to an array or scalar; key may be a key object or
the name of a field.
Definition at line 66 of file baseColumnViewContinued.py.
66 def __setitem__(self, key, value):
67 """Set a full column to an array or scalar; key may be a key object or 70 self.get(key)[:] = value
◆ extract()
def lsst.afw.table.baseColumnView.baseColumnViewContinued._BaseColumnViewBase.extract |
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patterns, |
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Extract a dictionary of {<name>: <column-array>} in which the field
names match the given shell-style glob pattern(s).
Any number of glob patterns may be passed (including none); the result
will be the union of all the result of each glob considered
separately.
Note that extract("*", copy=True) provides an easy way to transform a
row-major ColumnView into a possibly more efficient set of contiguous
NumPy arrays.
This routines unpacks `Flag` columns into full boolean arrays and
covariances into dense (i.e. non-triangular packed) arrays with
dimension (N,M,M), where N is the number of records and M is the
dimension of the covariance matrix. String fields are silently
ignored.
Additional Keyword Arguments
----------------------------
items : `list` The result of a call to self.schema.extract(); this
will be used instead of doing any new matching, and allows the
pattern matching to be reused to extract values from multiple
records. This keyword is incompatible with any position arguments
and the regex, sub, and ordered keyword arguments.
where : array index expression
Any expression that can be passed as indices to a NumPy array,
including slices, boolean arrays, and index arrays, that will be
used to index each column array. This is applied before arrays
are copied when copy is True, so if the indexing results in an
implicit copy no unnecessary second copy is performed.
copy : `bool`
If True, the returned arrays will be contiguous copies rather than
strided views into the catalog. This ensures that the lifetime of
the catalog is not tied to the lifetime of a particular catalog,
and it also may improve the performance if the array is used
repeatedly. Default is False.
regex : `str` or `re` pattern
A regular expression to be used in addition to any glob patterns
passed as positional arguments. Note that this will be compared
with re.match, not re.search.
sub : `str`
A replacement string (see re.MatchObject.expand) used to set the
dictionary keys of any fields matched by regex.
ordered : `bool`
If True, a collections.OrderedDict will be returned instead of a
standard dict, with the order corresponding to the definition
order of the Schema. Default is False.
Definition at line 82 of file baseColumnViewContinued.py.
82 def extract(self, *patterns, **kwds):
83 """Extract a dictionary of {<name>: <column-array>} in which the field 84 names match the given shell-style glob pattern(s). 86 Any number of glob patterns may be passed (including none); the result 87 will be the union of all the result of each glob considered 90 Note that extract("*", copy=True) provides an easy way to transform a 91 row-major ColumnView into a possibly more efficient set of contiguous 94 This routines unpacks `Flag` columns into full boolean arrays and 95 covariances into dense (i.e. non-triangular packed) arrays with 96 dimension (N,M,M), where N is the number of records and M is the 97 dimension of the covariance matrix. String fields are silently 100 Additional Keyword Arguments 101 ---------------------------- 102 items : `list` The result of a call to self.schema.extract(); this 103 will be used instead of doing any new matching, and allows the 104 pattern matching to be reused to extract values from multiple 105 records. This keyword is incompatible with any position arguments 106 and the regex, sub, and ordered keyword arguments. 108 where : array index expression 109 Any expression that can be passed as indices to a NumPy array, 110 including slices, boolean arrays, and index arrays, that will be 111 used to index each column array. This is applied before arrays 112 are copied when copy is True, so if the indexing results in an 113 implicit copy no unnecessary second copy is performed. 116 If True, the returned arrays will be contiguous copies rather than 117 strided views into the catalog. This ensures that the lifetime of 118 the catalog is not tied to the lifetime of a particular catalog, 119 and it also may improve the performance if the array is used 120 repeatedly. Default is False. 122 regex : `str` or `re` pattern 123 A regular expression to be used in addition to any glob patterns 124 passed as positional arguments. Note that this will be compared 125 with re.match, not re.search. 128 A replacement string (see re.MatchObject.expand) used to set the 129 dictionary keys of any fields matched by regex. 132 If True, a collections.OrderedDict will be returned instead of a 133 standard dict, with the order corresponding to the definition 134 order of the Schema. Default is False. 136 copy = kwds.pop(
"copy",
False)
137 where = kwds.pop(
"where",
None)
138 d = kwds.pop(
"items",
None)
143 d = self.schema.extract(*patterns, **kwds).copy()
146 "kwd 'items' was specified, which is not compatible with additional keywords")
149 if where
is not None:
152 a = np.ascontiguousarray(a)
156 for name, schemaItem
in list(d.items()):
158 if key.getTypeString() ==
"String":
161 d[name] = processArray(self.get(schemaItem.key))
163 daf::base::PropertyList * list
◆ get_bool_array()
def lsst.afw.table.baseColumnView.baseColumnViewContinued._BaseColumnViewBase.get_bool_array |
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Get the value of a flag column as a boolean array; key must be a
key object or the name of a field.
Definition at line 74 of file baseColumnViewContinued.py.
74 def get_bool_array(self, key):
75 """Get the value of a flag column as a boolean array; key must be a 76 key object or the name of a field. 78 if isinstance(key, KeyFlag):
80 raise TypeError(
"key={} not an lsst.afw.table.KeyFlag".
format(key))
def format(config, name=None, writeSourceLine=True, prefix="", verbose=False)
◆ getBits()
def lsst.afw.table.baseColumnView.baseColumnViewContinued._BaseColumnViewBase.getBits |
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keys = None |
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Get the bits associated with the specified keys
Unlike the C++ version, each key may be a field name or a key,
and if keys is None then all bits are returned.
Definition at line 39 of file baseColumnViewContinued.py.
39 def getBits(self, keys=None):
40 """Get the bits associated with the specified keys 42 Unlike the C++ version, each key may be a field name or a key, 43 and if keys is None then all bits are returned. 46 return self.getAllBits()
49 if isinstance(k, str):
50 arg.append(self.schema.find(k).key)
53 return self._getBits(arg)
◆ get
def lsst.afw.table.baseColumnView.baseColumnViewContinued._BaseColumnViewBase.get = __getitem__ |
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◆ set
def lsst.afw.table.baseColumnView.baseColumnViewContinued._BaseColumnViewBase.set = __setitem__ |
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The documentation for this class was generated from the following file: