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        "author": "Mohamed Yousif",
        "author_email": "mmbusif@gmail.com",
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        "description": "array2latex\n============\n\nIt converts NumPy's arrays into valid LaTeX tables. I use NumPy a lot, and it is always the case that I wanted to convert some array to latex. I wanted something that `imported' in my jupyter notebook such that when I get my results I will directly convert them into LaTeX table (as oppose of converting them into a csv file, and then convert that into LaTeX using other service)\n\nIn my thesis, I used `Tables Generator<https://www.tablesgenerator.com>`_ which is really cool and very awesome. But it is not what I wanted, the step of converting into csv, and then uploading to the website was just not the very best way to do that.\n\nUses\n----\n\nFirst you need to install it via pip using\n\n.. code-block:: python\n\n\tpip install array2latex\n\nOr using Anaconda, both work just fine, and they will always have the same lates version\n\n.. code-block:: python\n\n\tconda install -c adonese array2latex\n\nStarting `array2latex` is very simple. It is meant to be integrated with your workflow e.g., working with numpy array and output the final result into `LaTeX` table\n\n.. code-block:: python\n\n\tfrom array2latex import tolatex\n\timport numpy as np\n\t# Assuming that you have done some cool stuffs with `NumPy`, you have\n\t# you output and want them to be in latex format\n\t# For me I will just use NumPy random array!\n\tarray = np.random.rand(3, 4) # Create 3,4 random matrix\n\ttable = tolatex(array, header=header)\n\t# And thats it! You now have a valid LaTeX table.\n\nBut there are even more to add. `array2latex` only have 2 required argumets, the array you want to convert (obviously), and the header of your table. You can also sepecify a `caption` of you table, and you can also add a `label` as you would normally do in a typical table in LaTeX. To do that is very simple actually, you just need to do\n\n.. code-block:: python\n\n\t# Assuming you have imported all the necessary packages, and done you cool stuffs with numpy\n\tarray = np.random.rand(3, 4) # Create 3,4 random matrix\n\ttable = tolatex(array, header=[\"col1\", \"col2\", \"col3\", \"col4\"], caption=\"My cool table\", label=\"table:cool-table\")\n\nIn the previous examples the output will be the stdout, i.e., your `jupyter notebook` or your terminal. However, we also allow you to store the results in a file. To do that\n\n.. code-block:: python\n\n\t# Assuming you have imported all the necessary packages, and done you cool stuffs with numpy\n\tarray = np.random.rand(3, 4) # Create 3,4 random matrix\n\ttable = tolatex(array, header=[\"col1\", \"col2\", \"col3\", \"col4\"], caption=\"My cool table\", label=\"table:cool-table\", output_file=\"somefile.txt\") # The extenstion of the file doesn't really matter. It's just a txt file anyway.\n\nSo yes this is the whole about `array2latex`.\n\nTODO\n-----\n\n\t- Include Pandas dataframes. I could already done that lazily by detecting the input type and then convert it to numpy and the rest of the code will be unchanged.\n\t- Refactoring the code, etc. It is a must. The code is horrible, yet it works, efficiently? I guess\n\t- Adding comments, using more informative names for variables. I really wish I could found something more informative than string_arry.\n\t- Please, this code is yours, fork it, modify it, pull request, etc. so that we have a better tool to convert NumPy arrays and other arrays into LaTeX tables.\n\n\n",
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