| Current File : //proc/self/root/proc/self/root/lib64/python2.7/site-packages/numpy/ma/mrecords.pyc |
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Defines the equivalent of :class:`numpy.recarrays` for masked arrays,
where fields can be accessed as attributes.
Note that :class:`numpy.ma.MaskedArray` already supports structured datatypes
and the masking of individual fields.
:author: Pierre Gerard-Marchant
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*IVariables*:
_data : {recarray}
Underlying data, as a record array.
_mask : {boolean array}
Mask of the records. A record is masked when all its fields are masked.
_fieldmask : {boolean recarray}
Record array of booleans, setting the mask of each individual field of each record.
_fill_value : {record}
Filling values for each field.
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- a binary string for the mask.
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& c C sO t j | | | � j | � } t j t | d � } | j | | d | d | �S( sb Internal function that builds a new MaskedArray from the
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d | d | d | d | d | d | d | �j t � } t | � | j _ | d k r� | | _ n | S( s Creates a mrecarray from a (flat) list of masked arrays.
Parameters
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arraylist : sequence
A list of (masked) arrays. Each element of the sequence is first converted
to a masked array if needed. If a 2D array is passed as argument, it is
processed line by line
dtype : {None, dtype}, optional
Data type descriptor.
shape : {None, integer}, optional
Number of records. If None, shape is defined from the shape of the
first array in the list.
formats : {None, sequence}, optional
Sequence of formats for each individual field. If None, the formats will
be autodetected by inspecting the fields and selecting the highest dtype
possible.
names : {None, sequence}, optional
Sequence of the names of each field.
fill_value : {None, sequence}, optional
Sequence of data to be used as filling values.
Notes
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Lists of tuples should be preferred over lists of lists for faster processing.
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reclist : sequence
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processed line by line
dtype : {None, dtype}, optional
Data type descriptor.
shape : {None,int}, optional
Number of records. If None, ``shape`` is defined from the shape of the
first array in the list.
formats : {None, sequence}, optional
Sequence of formats for each individual field. If None, the formats will
be autodetected by inspecting the fields and selecting the highest dtype
possible.
names : {None, sequence}, optional
Sequence of the names of each field.
fill_value : {None, sequence}, optional
Sequence of data to be used as filling values.
mask : {nomask, sequence}, optional.
External mask to apply on the data.
Notes
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Lists of tuples should be preferred over lists of lists for faster processing.
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r� | j | j � qX| j t j t � � q"X| j t j t � � qb X| j t j t � � qb W| S( s Tries to guess the dtypes of the str_ ndarray `arr`, by testing element-wise
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filename : {file name/handle}
Handle of an opened file.
delimitor : {None, string}, optional
Alphanumeric character used to separate columns in the file.
If None, any (group of) white spacestring(s) will be used.
commentchar : {'#', string}, optional
Alphanumeric character used to mark the start of a comment.
missingchar : {'', string}, optional
String indicating missing data, and used to create the masks.
varnames : {None, sequence}, optional
Sequence of the variable names. If None, a list will be created from
the first non empty line of the file.
vartypes : {None, sequence}, optional
Sequence of the variables dtypes. If None, it will be estimated from
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