File: //opt/alt/python37/lib64/python3.7/site-packages/numpy/ma/__pycache__/mrecords.cpython-37.pyc
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�Z4dS )*a, :mod:`numpy.ma..mrecords`
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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Checks that field names ``descr`` are not reserved keywords.
If this is the case, a default 'f%i' is substituted. If the argument
`names` is not None, updates the field names to valid names.
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Attributes
----------
_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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Returns the data as a recarray.
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Alias to mask.
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Returns the length
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Sets the attribute attr to the value val.
)rZ Z fieldmaskNrb r Z_optinfork z record array has no attribute %srl Tr r )rW rm r_ � __setattr__r ro �sys�exc_info� __delattr__rp rq rn r r r �setfield� __setitem__)rG rz �valr} ZnewattrZretr{ Zoptinfo�exctype�valuer| rl ZdvalZmvalr1 r r r r~ sH
zMaskedRecords.__setattr__c C s� | j }t�| d�}t�| |d �}t|t�rx|| �t�}|| |_d|_|d }|dk rd|| |_ |j
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Returns all the fields sharing the same fieldname base.
The fieldname base is either `_data` or `_mask`.
r r] Trl NF)rP )rb r r_ ra r6 r r r rX rl ri r r' r
r r )rG �indxr} r r r1 Zfvalr r r � __getitem__? s
zMaskedRecords.__getitem__c C s, t �| ||� t|t�r(t�|�| j|< dS )z2
Sets the given record to value.
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Calculates the string representation.
r c S s$ g | ] }d d� dd� |D �� �qS )z(%s)r c S s g | ] }t |��qS r )r9 )r r3 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 � |��qS r )r^ )r �f)rG r r r! o s z[%s]z, c S s$ g | ] }d d� dd� |D �� �qS )z%sr c S s g | ] }t |��qS r )r9 )r r3 r r r r! r s z4MaskedRecords.__str__.<locals>.<listcomp>.<listcomp>)r% )r r� r r r r! r s c s g | ]}t � |��qS r )r^ )r r� )rG r r r! s s z(%s)N)rV r< r r? r% )rG Zmstrr )rG r �__str__h s
zMaskedRecords.__str__c sn �j j}dtdd� |D ��d f � � �fdd��j jD �}|�dd� |�� d�jf d g� td
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Calculates the repr representation.
z %%%is : %%sc S s g | ] }t |��qS r )r4 )r r@ r r r r! | s z*MaskedRecords.__repr__.<locals>.<listcomp>� c s g | ]}� |t �|�f �qS r )r^ )r r� )�fmtrG r r r! } s r zmasked_records(z fill_valuez )�
)r r? �max�insert�extendr[ r9 r% )rG Z_namesZreprstrr )r� rG r �__repr__v s zMaskedRecords.__repr__c C s |dkr*|dkr t �| �}q�t �| |�}n�|dkr�y,t|t �rPt �| |�}d}n t �| |�}W q� tk
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Returns a view of the mrecarray.
Nr r )r ra r+ rp r' r ro � __class__� __bases__Z __array__rd rl r^ r rT rU r rE )rG r r* �output�basetyperR r r r ra � s0
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Forces the mask to hard.
TN)� _hardmask)rG r r r � harden_mask� s zMaskedRecords.harden_maskc C s
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Forces the mask to soft
FN)r� )rG r r r � soften_mask� s zMaskedRecords.soften_maskc C s$ | j �� �t| ��}| j�� |_|S )z7
Returns a copy of the masked record.
)r rP ra r* r )rG Zcopiedr r r rP � s zMaskedRecords.copyc C sH |dk r| � |��� S t| � � �� td�}t| j�� �}d||< |�� 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``.
N)r )r �tolistr` rm r )rG r[ �resultrZ r r r r� � s zMaskedRecords.tolistc C s, d| j | j| jj| j�� | j�� | jf}|S )zWReturn the internal state of the masked array.
This is for pickling.
r )rE r �flagsZfncr �tobytesr rl )rG �stater r r � __getstate__� s zMaskedRecords.__getstate__c
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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�qS r )r )r �k�_r r r r! � s z.MaskedRecords.__setstate__.<locals>.<listcomp>r N)r � __setstate__r r& rb r[ )
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Return a 3-tuple for pickling a MaskedArray.
)r �b)�_mrreconstructr� r] r� )rG r r r �
__reduce__� s zMaskedRecords.__reduce__)NN)N)�__name__�
__module__� __qualname__�__doc__r rS re rf �propertyr rh r rj r_ r~ r� r� r� r� ra r� r� rP r� r� r� r� r r r r r n s4 %
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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.
c S s g | ] }t |��qS r )r )r �xr r r r! 0 s z fromarrays.<locals>.<listcomp>c S s g | ]}t �t|���qS r )r' Z
atleast_1dr )r r� r r r r! 1 s )r rE r0 r? rM rO rN N)�
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Creates a MaskedRecords from a list of records.
Parameters
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reclist : sequence
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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
-----
Lists of tuples should be preferred over lists of lists for faster processing.
r N)r rE r0 r? rM rO rN F)rP rk c S s g | ] }t |��qS r )r7 )r rQ r r r r! u s z fromrecords.<locals>.<listcomp>)r^ r6 r r r ra r r� �recfromrecordsr r[ r r' r
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Tries to guess the dtypes of the str_ ndarray `arr`.
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fname : {file name/handle}
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delimitor : {None, string}, optional
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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
the first non-commented line.
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