array-to-latex 0.51

Return Numpy arrays as formatted LaTeX arrays.

Convert NumPy/SciPy arrays to formatted LaTeX arrays
====================================================

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The package ``array_to_latex`` converts a NumPy/SciPy array to a LaTeX
array including `Python 3.x
style <https://mkaz.blog/code/python-string-format-cookbook/>`__ (or `alternatively <https://www.python-course.eu/python3_formatted_output.php>`__) formatting of the result.

Play with it on `mybinder.org <https://mybinder.org/v2/gh/josephcslater/array_to_latex/master?filepath=Examples.ipynb>`_!

| *New in* 0.37: Now handles complex arrays.
| *New in* 0.38: Aligns columns neatly.
| **0.40: Critical upgrade- 0.37-0.38 formatted incorrectly.**
| **0.41: Critical upgrade- 0.37-0.40 formatted incorrectly.**
| *New in* 0.43: Now handles 1-D Arrays. See new option ``row``
| *New in* 0.50: Now works with Pandas DataFrames
| *0.51: Bug fix- remove extra blank lines in DataFrame tabular output

Install using ``pip install --user array_to_latex`` from your command prompt, **not the Python prompt**.

Please read the help which explains usage.

.. code:: python

import numpy as np
import array_to_latex as ar
A = np.array([[1.23456, 23.45678],[456.23, 8.239521]])
ar.to_ltx(A, frmt = '{:6.2f}', arraytype = 'array')

will print the LaTeX code to your ouput.

.. code:: python

import numpy as np
import array_to_latex as ar
A = np.array([[1.23456, 23.45678],[456.23, 8.239521]])
ar.to_clp(A, frmt = '{:6.2f}', arraytype = 'array')

will put the array onto your clipboard.

More detailed information on usage is in the help.

.. code:: python

import array_to_latex as ar
help(ar.to_ltx)

An interesting alternative approach is `np array to latex <https://github.com/bbercovici/np_array_to_latex>`_.

Like this module, `buy me a coffee! <https://www.buymeacoffee.com/s6BCSuEiU>`_