semvec/pypi-packages huggingface dataset:
stxmproc 0.0.1
Pixel Alignment and Normalization of STXM images.
License: MIT
Keywords: stxm images processing alignment normalization

STXM Proc
=======================

STXM Proc is a PyQtGraph-based graphical user interface. It allows for horizontal line alignment and for aplying 
normalization techniques on images collected in the TwinMic beamline through Scanning transmission x-ray microscopy 
(STXM) imaging technique and.


----

README
""""""""""""""""" 

**Introduction**

To do.

**Installation**

For standard Python installations, install stxmalign using pip:

.. code:: bash

    pip install -U pip setuptools
    pip install stxmproc

**Usage**

Once the installation has finished just type on the command line:

.. code:: bash

    stxmProc

**Requirements**

* `Python 2.7 <https://www.python.org/downloads/>`_.
* `Setuptools <https://setuptools.readthedocs.io/en/latest/>`_.
* `Tifffile <https://github.com/blink1073/tifffile>`_.
* `H5Py <http://www.h5py.org/>`_.
* `Matplotlib <https://matplotlib.org/>`_.
* `NumPy <http://www.numpy.org/>`_.
* `PyQt5 <http://pyqt.sourceforge.net/Docs/PyQt5/installation.html>`_.
* `PyQtGraph <http://www.pyqtgraph.org/>`_.
* `SIP <https://www.riverbankcomputing.com/software/sip/download>`_.

**To fix**

* `PyQtGraph ImageExporter <https://groups.google.com/forum/#!topic/pyqtgraph/4jiAPUpLpF4>`_.
pytimeextractor 0.1.4
Time Extractor NLP project - locate dates and times in text documents
License: MIT
Keywords: NLP text extraction time date

The project was developed by `Digamma.ai`_. The goal of the project is
to develop a library to find and extract time/date information from
textual documents.

Why Should I Use This?
----------------------

The main goal is to identify texts fragments that are related to
time/date/period (exact date, time of day, day of the week, months,
seasons, time intervals, etc.) and make structural forms from them. We
tried to detect a variety of textual representations and handle things
like recurring times (e.g. “every Wednesday”).

Installation
------------

::

    $ pip install pytimeextractor

You can also download or checkout the latest code and install from the source:

::

    $ python setup.py install

Usage
-----

To use it, simply do:

::

    >>> from pytimeextractor import ExtractionService
    >>> text = "from winter to summer"
    >>> ExtractionService.extract(text)

A ``PySettings`` can be applied to specify some additional extraction
options, like setting local user date/time, time-zone offset, filtering
extraction rules and finding latest dates.

``PySettingsBuilder`` is used for constructing ``PySettings`` instance
when you need to set configuration options other than the default.
``PySettingsBuilder`` is best used by creating it, and then invoking its
various configuration methods, and finally calling build method.

::

    >>> from pytimeextractor import PySettingsBuilder
    >>> settings = (PySettingsBuilder()
    ...          .addRulesGroup('DateGroup')
    ...          .excludeRules("relativeDateRule")
    ...          .addUserDate("2017-10-23T18:40:40.931Z")
    ...          .addTimeZoneOffset("2")
    ...          .includeOnlyLatestDates(True)
    ...          .build()
    ...         )
    >>> ExtractionService.extract(text, settings)

.. _Digamma.ai: http://digamma.ai/