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

NAME

       __init__.py:36: -  export dataset components into other (file) formats

SYNOPSIS

       pymvpa2  dump [--version] [-h] -i DATASET [DATASET ...] [-s | --sa SA | --fa FA | --da DA]
       [-o  OUTPUT]  [-f   {hdf5,nifti,npy,txt}]   [--mapper-dataset   DATASET   [DATASET   ...]]
       [--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

       Dump dataset components in various formats

       A  single  arbitrary  dataset component (sample data, sample attribute, feature attribute,
       dataset attribute) can be selected and exported into another format. A list  of  supported
       formats and their respective capabilities is below.

       PLAIN TEXT OUTPUT

       1D  and  2D  numerical  data can be export as plain text. In addition lists of strings are
       supported as well. Typically data is exported with one element per line is, except for  2D
       numerical matrices, where an entire row is written on a single line (space-separated).

       For  all  unsupported  data a warning is issued and a truncated textual description of the
       dataset component is given.

       HDF5 STORAGE

       Arbitrary data (types) can be stored in HDF5 containers. For simple data that is  natively
       supported  by HDF5 a top-level HDF5 dataset is created and contains all data. Complex, not
       natively supported data types are serialized before stored in HDF5.

       NUMPY'S NPY BINARY FILES

       This data format is for storing numerical data (with arbitrary  number  of  dimensions  in
       binary format).

       NIFTI FILES

       This  data  format is for (multi-dimensional) spatial images. Input datasets should have a
       mapper that can reverse-map the corresponding dataset component back into the image space.

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.

       -o OUTPUT, --output OUTPUT
              output filename. If no output file name is given output will be directed to stdout,
              if permitted by the data format

       -f {hdf5,nifti,npy,txt}, --format {hdf5,nifti,npy,txt}
              output format

       --mapper-dataset DATASET [DATASET ...]
              path  to  a PyMVPA dataset whose mapper should be used for reverse mapping features
              into volumetric space for NIfTI export. By default the mapper in the input  dataset
              is used.

   Options for selecting dataset components:
       -s, --samples
              dump the dataset samples.

       --sa SA
              name of the sample attribute to be dumped.

       --fa FA
              name of the feature attribute to be dumped.

       --da DA
              name of the dataset attribute to be dumped.

   Option for HDF5 output:
       --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-dump 2.6.5

EXAMPLES

       Print a sample attribute

              $ pymvpa2 dump -i mydata.hdf5 --sa subj

       Export the sample data array into NumPy's .npy format

              $ pymvpa2 dump -i mydata.hdf5 -s -f npy -d mysamples.npy

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`.