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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.
.. moduleauthor:: Pierre Gerard-Marchant
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Returns the formats of arrays in arraylist as a comma-separated string.
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Attributes
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_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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Sets the attribute attr to the value val.
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Returns all the fields sharing the same fieldname base.
The fieldname base is either `_data` or `_mask`.
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Sets the given record to value.
N)r r� r7 r rU r r )rH r� r� r r r! r� _ s zMaskedRecords.__setitem__c s� � j d k rR d d � t � f d d � � j j D� � D� } d d j | � Sd d � t � f d d � � j j D� � D� } d d j | � Sd
S) z8
Calculates the string representation.
r c S s0 g | ]& } d d j d d � | D� � � q S)z(%s)r c S s g | ] } t | � � q Sr )r: )r r4 r r r! r" n s z4MaskedRecords.__str__.<locals>.<listcomp>.<listcomp>)r& )r �sr r r! r" n s z)MaskedRecords.__str__.<locals>.<listcomp>c s g | ] } t � | � � q Sr )rb )r �f)rH r r! r" o s z[%s]z, c S s0 g | ]& } d d j d d � | D� � � q S)z%sr c S s g | ] } t | � � q Sr )r: )r r4 r r r! r" r s z4MaskedRecords.__str__.<locals>.<listcomp>.<listcomp>)r& )r r� r r r! r" r s c s g | ] } t � | � � q Sr )rb )r r� )rH r r! r" s s z(%s)N)rW r= r r@ r& )rH Zmstrr )rH r! �__str__h s ) )zMaskedRecords.__str__c s� � j j } d t d d � | D� � d f � � � f d d � � j j D� } | j d d � | j � d � j f d g � t d
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Calculates the repr representation.
z %%%is : %%sc S s g | ] } t | � � q Sr )r5 )r rA r r r! r" | s z*MaskedRecords.__repr__.<locals>.<listcomp>� c s) g | ] } � | t � | � f � q Sr )rb )r r� )�fmtrH r r! r" } s r zmasked_records(z fill_valuez )�
)r r@ �max�insert�extendr] r: r& )rH Z_namesZreprstrr )r� rH r! �__repr__v s $"
zMaskedRecords.__repr__c C s~ | d k r? | d k r* t j | � } q)t j | | � } n� | d k ry@ t | t � rx t j | | � } d } n t j | | � } Wq)t k
rt j | � } | j d k r� | j j d } | j � j | | � } | j
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Returns a view of the mrecarray.
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Forces the mask to hard.
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Forces the mask to soft
FN)r� )rH r r r! � soften_mask� s zMaskedRecords.soften_maskc C s4 | j j � j t | � � } | j j � | _ | S)z7
Returns a copy of the masked record.
)r rQ re r+ r )rH �copiedr r r! rQ � s zMaskedRecords.copyc C sf | d k r | j | � j � St | j � j � d t �} t | j j � � } d | | <| j � S)a
Return the data portion of the array as a list.
Data items are converted to the nearest compatible Python type.
Masked values are converted to fill_value. If fill_value is None,
the corresponding entries in the output list will be ``None``.
Nr )r �tolistrd rr r )rH r] �resultr\ r r r! r� � s
zMaskedRecords.tolistc C s@ d | j | j | j j | j j � | j j � | j f } | S)zWReturn the internal state of the masked array.
This is for pickling.
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C s� | \ } } } } } } } t j | | | | | f � t d d � | j j D� � } | j d j | | | | f � | | _ d S)at
Restore the internal state of the masked array.
This is for pickling. ``state`` is typically the output of the
``__getstate__`` output, and is a 5-tuple:
- class name
- a tuple giving the shape of the data
- a typecode for the data
- a binary string for the data
- a binary string for the mask.
c S s" g | ] \ } } | t f � q Sr )r )r �k�_r r r! r" � s z.MaskedRecords.__setstate__.<locals>.<listcomp>r N)r � __setstate__r r' rf r] )
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Return a 3-tuple for pickling a MaskedArray.
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__reduce__� s zMaskedRecords.__reduce__)�__name__�
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Build a new MaskedArray from the information stored in a pickle.
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Creates a mrecarray from a (flat) list of masked arrays.
Parameters
----------
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
-----
Lists of tuples should be preferred over lists of lists for faster processing.
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Creates a MaskedRecords from a list of records.
Parameters
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reclist : sequence
A list of records. 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,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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fname : {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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