Provided by: python-mvpa2_2.6.5-1_all bug

NAME

       __init__.py:36: -  select a subset of samples and/or features from a dataset

SYNOPSIS

       pymvpa2 select [--version] [-h] -i DATASET [DATASET ...] [--samples-by-index IDX [IDX ...]
       | --samples-by-attr EXPR [EXPR ...]] [--features-by-index IDX [IDX ...]  |  --features-by-
       attr  EXPR [EXPR ...]] [--strip-sa ATTR [ATTR ...]] [--strip-fa ATTR [ATTR ...]] [--strip-
       da ATTR [ATTR ...]] -o OUTPUT [--hdf5-compression TYPE]

DESCRIPTION

       /usr/lib/python2.7/dist-packages/h5py/__init__.py:36:  FutureWarning:  Conversion  of  the
       second  argument  of issubdtype from `float` to `np.floating` is deprecated. In future, it
       will be treated as `np.float64 == np.dtype(float).type`.

              from ._conv import register_converters as _register_converters

       scatter not available: No module named _tkinter, please install the python-tk package

       Select a subset of samples and/or features from a dataset

       A  subset  of  samples  and/or  feature  can   be   selected   by   their   indices   (see
       --samples/features-by-index)  or  via  simple  expressions evaluating attribute value (see
       --samples/features-by-attr). It is possible to specify options for selecting  samples  and
       features simultaneously. It is also possible to strip arbitrary attributes from the output
       dataset (see --strip-...).

       SELECTION BY INDEX

       All --...-by-index options accept a sequence  of  integer  indices.  Alternatively  it  is
       possible  to  specify  regular  sequences  of  indices  using  a  START:STOP:STEP notation
       (zero-based). For example, ':5' selects the first five elements, '2:4' selects  the  third
       and fourth element, and ':20:2' selects all even numbered elements from the first 20.

       SELECTION BY ATTRIBUTE

       All  --...by-attr  options  support  a simple expression language that allows for creating
       filters/masks from attribute values. Such selection expressions are made up  of  ATTRIBUTE
       OPERATOR VALUE triplets that can be combined via 'and' or 'or' keywords. For example:

       ... --samples-by-attr subj eq 5 and run lt 5 or run gt 10

       selects  all  samples where attribute 'subj' equals 5 and the run attribute is either less
       than 5 or greater than 10. 'and' and 'or' operations are done in strictly serial order (no
       nested conditions).

       Supported operators are:

       eq  (equal)  ne  (not equal) ge (greater or equal) le (less or equal) gt (greater than) lt
       (less than)

OPTIONS

       --version
              show program's version and license information and exit

       -h, --help, --help-np
              show this help message and exit. --help-np forcefully disables the use of  a  pager
              for displaying the help.

       -i DATASET [DATASET ...], --input DATASET [DATASET ...]
              path(s)  to  one  or  more PyMVPA dataset files. All datasets will be merged into a
              single dataset (vstack'ed) in order of specification. In some cases this option may
              need  to  be specified more than once if multiple, but separate, input datasets are
              required.

   Options for selecting samples:
       --samples-by-index IDX [IDX ...]
              select a subset of samples by index. See section  'SELECTION  BY  INDEX'  for  more
              details.

       --samples-by-attr EXPR [EXPR ...]
              select  a  subset  of  samples  by attribute evaluation.  See section 'SELECTION BY
              ATTRIBUTE' for more details.

   Options for selecting features:
       --features-by-index IDX [IDX ...]
              select a subset of features by index. See section 'SELECTION  BY  INDEX'  for  more
              details.

       --features-by-attr EXPR [EXPR ...]
              select  a  subset  of  features by attribute evaluation.  See section 'SELECTION BY
              ATTRIBUTE' for more details.

   Options for removing attributes:
       --strip-sa ATTR [ATTR ...]
              strip one or more samples attributes given by their name from a dataset.

       --strip-fa ATTR [ATTR ...]
              strip one or more feature attributes given by their name from a dataset.

       --strip-da ATTR [ATTR ...]
              strip one or more dataset attributes given by their name from a dataset.

   Output options:
       -o OUTPUT, --output OUTPUT
              output filename ('.hdf5' extension is added automatically if necessary). NOTE:  The
              output  format  is  suitable  for data exchange between PyMVPA commands, but is not
              recommended for long-term storage or exchange as  its  specific  content  may  vary
              depending  on  the  actual  software  environment.  For  long-term storage consider
              conversion into other data formats (see 'dump' command).

       --hdf5-compression TYPE
              compression type for HDF5 storage. Available values depend  on  the  specific  HDF5
              installation.  Typical  values  are: 'gzip', 'lzf', 'szip', or integers from 1 to 9
              indicating gzip compression levels.

              from ._conv import register_converters as _register_converters

       scatter not available: No module named _tkinter,  please  install  the  python-tk  package
       pymvpa2-select 2.6.5

AUTHOR

       Written by Michael Hanke & Yaroslav Halchenko, and numerous other contributors.

COPYRIGHT

       Copyright © 2006-2016 PyMVPA developers

       Permission  is  hereby  granted,  free  of  charge, to any person obtaining a copy of this
       software and associated documentation files (the "Software"),  to  deal  in  the  Software
       without  restriction, including without limitation the rights to use, copy, modify, merge,
       publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons
       to whom the Software is furnished to do so, subject to the following conditions:

       The  above  copyright notice and this permission notice shall be included in all copies or
       substantial portions of the Software.

       THE SOFTWARE IS PROVIDED "AS IS", WITHOUT  WARRANTY  OF  ANY  KIND,  EXPRESS  OR  IMPLIED,
       INCLUDING  BUT  NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
       PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE  LIABLE
       FOR  ANY  CLAIM,  DAMAGES  OR  OTHER  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
       OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR  THE  USE  OR  OTHER
       DEALINGS IN THE SOFTWARE.

__init__.py:36: FutureWarning: Conversion ofJune 2018nd argument of issubdtype frINITfl.PY:36:(1)p.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.