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qian-chu committed Sep 2, 2024
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32 changes: 0 additions & 32 deletions .readthedocs.yaml

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4 changes: 2 additions & 2 deletions docs/Makefile → Makefile
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# from the environment for the first two.
SPHINXOPTS ?=
SPHINXBUILD ?= sphinx-build
SOURCEDIR = .
BUILDDIR = _build
SOURCEDIR = source
BUILDDIR = build

# Put it first so that "make" without argument is like "make help".
help:
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Expand Up @@ -13,7 +13,7 @@ Installation
============

To install PyNeon, clone the PyNeon repository from
https://github.com/NCCLabMPI/pyneon and run:
https://github.com/NCCLabMPI/PyNeon and run:

.. code-block:: bash
Expand All @@ -24,7 +24,9 @@ PyPI and conda releases are planned for the future.
Data format
===========

PyNeon works with the "Timeseries" data format as exported from Pupil Clouds. The data could be from a single recording or from a project with multiple recordings.
PyNeon works with the "Timeseries Data" or "Timeseries Data + Scene Video" formats
as exported from Pupil Clouds. The data could be from a single recording or from a
project with multiple recordings.

.. toctree::
:maxdepth: 1
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<section id="installation">
<h1>Installation<a class="headerlink" href="#installation" title="Link to this heading">#</a></h1>
<p>To install PyNeon, clone the PyNeon repository from
<a class="github reference external" href="https://github.com/NCCLabMPI/pyneon">NCCLabMPI/pyneon</a> and run:</p>
<a class="github reference external" href="https://github.com/NCCLabMPI/PyNeon">NCCLabMPI/PyNeon</a> and run:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>.
</pre></div>
</div>
<p>PyPI and conda releases are planned for the future.</p>
</section>
<section id="data-format">
<h1>Data format<a class="headerlink" href="#data-format" title="Link to this heading">#</a></h1>
<p>PyNeon works with the “Timeseries” data format as exported from Pupil Clouds. The data could be from a single recording or from a project with multiple recordings.</p>
<p>PyNeon works with the “Timeseries Data” or “Timeseries Data + Scene Video” formats
as exported from Pupil Clouds. The data could be from a single recording or from a
project with multiple recordings.</p>
<div class="toctree-wrapper compound">
</div>
</section>
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Expand Up @@ -412,6 +412,12 @@ <h1>pyneon.NeonRecording<a class="headerlink" href="#pyneon-neonrecording" title
<li><p><strong>resamp_other_kind</strong> (<em>str</em><em>, </em><em>optional</em>) – Resampling method for columns of other types, by default “nearest”.</p></li>
</ul>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><p><strong>concat_data</strong> – Concatenated data.</p>
</dd>
<dt class="field-odd">Return type<span class="colon">:</span></dt>
<dd class="field-odd"><p>pd.DataFrame</p>
</dd>
</dl>
</dd></dl>

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Expand Up @@ -7,8 +7,8 @@ REM Command file for Sphinx documentation
if "%SPHINXBUILD%" == "" (
set SPHINXBUILD=sphinx-build
)
set SOURCEDIR=.
set BUILDDIR=_build
set SOURCEDIR=source
set BUILDDIR=build

%SPHINXBUILD% >NUL 2>NUL
if errorlevel 9009 (
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5 changes: 5 additions & 0 deletions pyneon/recording.py
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Expand Up @@ -164,5 +164,10 @@ def concat_channels(
Resampling method for columns of float type, by default "linear".
resamp_other_kind : str, optional
Resampling method for columns of other types, by default "nearest".
Returns
-------
concat_data : pd.DataFrame
Concatenated data.
"""
return concat_channels(self, ch_names, resamp_float_kind, resamp_other_kind)
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6 changes: 4 additions & 2 deletions docs/index.rst → source/index.rst
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Expand Up @@ -13,7 +13,7 @@ Installation
============

To install PyNeon, clone the PyNeon repository from
https://github.com/NCCLabMPI/pyneon and run:
https://github.com/NCCLabMPI/PyNeon and run:

.. code-block:: bash
Expand All @@ -24,7 +24,9 @@ PyPI and conda releases are planned for the future.
Data format
===========

PyNeon works with the "Timeseries" data format as exported from Pupil Clouds. The data could be from a single recording or from a project with multiple recordings.
PyNeon works with the "Timeseries Data" or "Timeseries Data + Scene Video" formats
as exported from Pupil Clouds. The data could be from a single recording or from a
project with multiple recordings.

.. toctree::
:maxdepth: 1
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